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How have ride-sourcing users adapted to the first wave of the COVID-19 pandemic? evidence from a survey-based study of the Greater Toronto Area Transp. Lett. (IF 1.84) Pub Date : 2021-03-02 Patrick Loa; Sanjana Hossain; Yicong Liu; Khandker Nurul Habib
ABSTRACT The COVID-19 pandemic has altered day-to-day life worldwide, including the perceived risks associated with travel. Ride-sourcing can augment the mobility of those without access to private vehicles and who are reluctant to use public transit. Using data from a web-based survey, this study investigates the influence of the first wave of the pandemic on ride-sourcing use in the Greater Toronto
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On the modelling of speed–concentration curves for multi-class traffic lacking lane discipline using area occupancy Transp. Lett. (IF 1.84) Pub Date : 2021-03-01 Ranju Mohan
ABSTRACT The paper discusses the major limitations of the existing speed–area occupancy curve for multi-class traffic. Any driver will react not to the actual area occupancy, but to a perceived area occupancy based on the spatial arrangement and percentage composition of vehicles. To address multi-class traffic peculiarities, this paper proposes a formulation for perceived area occupancy. Traffic flow
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Evaluating the mileage and time efficiency of ridesourcing services: Austin, Texas case Transp. Lett. (IF 1.84) Pub Date : 2021-02-26 Oguz Tengilimoglu; Zia Wadud
ABSTRACT Although several studies have attempted to determine the mileage and time inefficiency of ridesourcing services due to concerns about traffic and environmental impacts of these services, all of them provide a point estimate, which does not reflect the uncertainties in the calculation of these estimates. As such this study aims to present the efficiencies as ranges, based on lower and upper
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Dynamic Carriage Reserving for an Over-crowded Metro Junction Station Transp. Lett. (IF 1.84) Pub Date : 2021-02-21 Junhua Guo; Xiaofang Xiao; Jungang Shi
ABSTRACT At metro junction stations located in transportation hubs, a great number of passengers need to transfer to the metro system from other transportation modes during peak hours. This paper proposes a new train operation strategy—reserving carriages dynamically on each service train at the departure station for the metro junction station, which aims to relieve the serious passenger accumulation
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How does interchange affect passengers’ route choices in urban rail transit? – a case study of the Shanghai Metro Transp. Lett. (IF 1.84) Pub Date : 2021-02-16 Yan Cheng; Xiafei Ye; Taku Fujiyama
ABSTRACT Interchange provides more flexibility in route choice, a key travel behaviour in urban rail transit, but its influence is usually simplified. This paper investigates how interchange affects route choice with passenger perception considered. At single-interchange level, perceived interchange time was proposed and modelled under three resolutions to capture passenger perception and its sensitivity
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On transferability and calibration of pedestrian and car motion models in shared spaces Transp. Lett. (IF 1.84) Pub Date : 2021-02-03 Fatema T. Johora; Jörg P. Müller
ABSTRACT Modelling and simulation of mixed-traffic zones is an essential tool for transportation planners to assess safety, efficiency, and human-friendliness of future urban areas. This paper addresses the calibration and transferability of existing shared space models for pedestrians and cars. Specifically, our first contribution is enhancing the Game-Theoretic Social Force Model (GSFM) by a generic
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ST-FVGAN: filling series traffic missing values with generative adversarial network Transp. Lett. (IF 1.84) Pub Date : 2021-02-02 Bing Yang; Yan Kang; Yaoyao Yuan; Hao Li; Fei Wang
ABSTRACT The imputation of time series traffic flow data is of great significance to the intelligent transportation, urban planning, and road emergency handling. This paper proposes a filling missing time series traffic data with Generative Adversarial Network (ST-FVGAN), which not only considers the spatio-temporal correlation and utilizes the idea of data generating of the Generative Adversarial
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Daily activity-travel and fragmentation patterns in the weekly cycle: evidence of the role of ICT, time use, and personal networks Transp. Lett. (IF 1.84) Pub Date : 2021-01-31 Maximiliano Lizana; Juan Antonio Carrasco; Rodrigo Victoriano
ABSTRACT This paper presents an analysis of people’s time use patterns, incorporating the mediating role of ICT and personal networks on their daily activity-travel patterns, explicitly addressing the issue of activity fragmentation for social-based episodes. Implementing a seven-day time use survey, which includes temporal, spatial, and social characteristics for each activity, and using a theoretical
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On transferability and calibration of pedestrian and car motion models in shared spaces Transp. Lett. (IF 1.84) Pub Date : 2021-02-03 Fatema T. Johora; Jörg P. Müller
ABSTRACT Modelling and simulation of mixed-traffic zones is an essential tool for transportation planners to assess safety, efficiency, and human-friendliness of future urban areas. This paper addresses the calibration and transferability of existing shared space models for pedestrians and cars. Specifically, our first contribution is enhancing the Game-Theoretic Social Force Model (GSFM) by a generic
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ST-FVGAN: filling series traffic missing values with generative adversarial network Transp. Lett. (IF 1.84) Pub Date : 2021-02-02 Bing Yang; Yan Kang; Yaoyao Yuan; Hao Li; Fei Wang
ABSTRACT The imputation of time series traffic flow data is of great significance to the intelligent transportation, urban planning, and road emergency handling. This paper proposes a filling missing time series traffic data with Generative Adversarial Network (ST-FVGAN), which not only considers the spatio-temporal correlation and utilizes the idea of data generating of the Generative Adversarial
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The minimum information approach to the uncapacitated p-median facility location problem Transp. Lett. (IF 1.84) Pub Date : 2021-01-18 Mehdi Zaferanieh; Maryam Abareshi; Jafar Fathali
ABSTRACT In this paper, we apply the minimum information theory to the uncapacitated p-median facility location problem to determine the most probable allocation solution. Indeed, we investigate the bi-level p-median model introduced by [TRANSPORT RES B-METH. 123 (2019) 1–20] in the case that facilities have unlimited capacities. At the upper level, minimizing the cost of establishing facilities and
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Introducing novel statistical-based method of screening and combining currently well-known surrogate safety measures Transp. Lett. (IF 1.84) Pub Date : 2021-01-15 Navid Nadimi; Amir Mohammadian Amiri; Amirhossein Sadri
ABSTRACT Until now various surrogate safety measures (SSM) have been developed and research in this area is ongoing. However, it is unclear which indicators are able to reflect danger more accurately. This paper proposes a novel method of performance comparison by taking the advantage of statistical analyses of SSMs data. This analytical approach is inspired by the dominant behavior of drivers in car-following
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Investigating dilemma zone boundaries for mixed traffic conditions using support vector machines Transp. Lett. (IF 1.84) Pub Date : 2021-01-11 Bharat Kumar Pathivada; Perumal Vedagiri
ABSTRACT Crashes take place at intersections even when signalized due to the presence of dilemma zone, where the driver feels uncertain whether to cross or stop at the trigger of yellow signal. Erroneous decisions taken by the driver leads to rear-end or right-angle crashes, causing safety implications. Accurate position of the dilemma zone can help in implementing various safety measures and enhance
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Aggregate delivery tour modeling through AVM data: experimental evidence for light goods vehicles Transp. Lett. (IF 1.84) Pub Date : 2021-01-05 Antonio Comi; Agostino Nuzzolo; Antonio Polimeni
ABSTRACT Freight vehicle origin-destination (O-D) matrices play a key role within the assessment procedures of city logistics scenarios, and simulation of delivery tours allows such O-D flows to be obtained. Therefore, the paper revisits a modeling framework for simulating delivery tours using an aggregate approach proposed by the authors and presents the preliminary results of its implementation to
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Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach Transp. Lett. (IF 1.84) Pub Date : 2021-01-04 José Ángel Martín-Baos; Ricardo García-Ródenas; Luis Rodriguez-Benitez
ABSTRACT The success of machine-learning methods is spreading their use to many different fields. This paper analyses one of these methods, the Kernel Logistic Regression (KLR), from the point of view of Random Utility Model (RUM) and proposes the use of the KLR to specify the utilities in RUM, freeing the modeler from the need to postulate a functional relation between the features. A Monte Carlo
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Short-term prediction of freeway travel times by fusing input-output vehicle counts and GPS tracking data Transp. Lett. (IF 1.84) Pub Date : 2020-12-31 Margarita Martínez-Díaz; Francesc Soriguera
ABSTRACT Short-term travel time prediction on freeways is the most valuable information for drivers when selecting their routes and departure times. Furthermore, this information is also essential at traffic management centers in order to monitor the network performance and anticipate the activation of traffic management strategies. The importance of reliable short-term travel time predictions will
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A static relocation strategy for electric car-sharing systems in a vehicle-to-grid framework Transp. Lett. (IF 1.84) Pub Date : 2020-12-27 Leonardo Caggiani; Luigi Pio Prencipe; Michele Ottomanelli
ABSTRACT Car-Sharing Systems (CSSs) are becoming increasingly popular in urban areas replacing car ownership. The most attractive CSSs give users the opportunity to make one-way trips. This behavior creates an unbalanced status between stations. Hence, some users could leave the system because they may not find a car/parking place available near their origin/destination. In recent years, CSSs are employing
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Assessment of service quality at unsignalized intersections using traffic simulation and computational intelligence Transp. Lett. (IF 1.84) Pub Date : 2020-12-26 Suprava Jena; Sharmili Patro; Manish Dutta; P.K. Bhuyan
ABSTRACT The focus of this study is to examine the service quality of unsignalized intersections based on the perception of automobile drivers. This was achieved by developing Automobile Level of Service (ALOS) models using two computational intelligence methods – Functional Linked Artificial Neural Network (FLANN) and Differential Evolution (DE). The required data were collected at 47 unsignalized
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Characterizing parking systems from sensor data through a data-driven approach Transp. Lett. (IF 1.84) Pub Date : 2020-12-25 Jamie Arjona Martinez; Maria Paz Linares; Josep Casanovas
ABSTRACT Nowadays, urban traffic affects the quality of life in cities as the problem becomes even more exacerbated by parking issues: congestion increases due to drivers searching slots to park. An Internet of Things approach permits drivers to know the parking availability in real time and provides data that can be used to develop predictive models. This can be useful in improving the management
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Multi-objective route planning problem for cycle-tourists Transp. Lett. (IF 1.84) Pub Date : 2020-12-23 Siying Zhu
ABSTRACT Cycle-tourism which is a type of niche and sustainable tourism is increasingly promoted by transport and tourism agencies in recent years, but there are still few researches on the cycle-tourist route planning. This paper aims to formulate the cycle-tourist route-planning problem, in order to maximize cycle-tourists’ utility of visiting points of interest (POIs), minimize the total travel
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Operational cost and user performance analysis of on-demand bus and taxi systems Transp. Lett. (IF 1.84) Pub Date : 2020-12-22 Miquel Estrada; Josep Maria Salanova; Marcos Medina-Tapia; Francesc Robusté
ABSTRACT This paper presents the optimization problem of three different on-demand transit systems operated by vehicles of different sizes. This problem is aimed at minimizing the total cost of the system, which consists of the temporal cost experienced by users and the operating cost incurred by transit agencies. A compact set of estimations of the user performance and operating cost is provided,
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Potential benefits of carrier collaboration in vehicle routing problem with pickup and delivery Transp. Lett. (IF 1.84) Pub Date : 2020-12-22 Bhavya Padmanabhan; Nathan Huynh; William Ferrell; Vishal Badyal
ABSTRACT This paper investigates the potential benefits of collaboration among less than truckload (LTL) carriers in fulfilling pickup and delivery jobs. It adopts the commonly used centralized collaborative planning scheme where a central authority pools all jobs and allocate them to the carriers with the objective of minimizing the total transportation cost. However, in this study, LTL carriers are
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Safety analysis of unsignalized intersections: a bivariate extreme value approach Transp. Lett. (IF 1.84) Pub Date : 2020-12-19 Massimiliano Gastaldi; Federico Orsini; Gregorio Gecchele; Riccardo Rossi
ABSTRACT Application of extreme value theory (EVT) to road safety analysis is gaining interest, thanks to its ability to produce quick and reliable safety evaluations without the use of crash data. Traditionally applied to single collision types and single extreme variables (i.e. surrogate measures of safety), EVT can be further exploited to simultaneously model multiple collision types, with the use
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Discovering vehicle usage patterns on the basis of daily mobility profiles derived from floating car data Transp. Lett. (IF 1.84) Pub Date : 2020-12-16 Danyang Sun; Fabien Leurent; Xiaoyan Xie
ABSTRACT This paper presents a novel approach for establishing vehicle usage patterns by Floating Car Data based on their daily mobility making. Vehicle trajectories were firstly sequenced into meaningful trips and then clustered into different trip types. Trips pertaining to each vehicle were aggregated as a vector of counts per type to obtain the mobility profile of the vehicle. Based on these profiles
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Identifying strategies for improving airport services: introduction of the Gap-IPA to an Italian airport case study Transp. Lett. (IF 1.84) Pub Date : 2020-12-11 Jaime Allen; Maria Grazia Bellizzi; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla
ABSTRACT An effective strategy for offering services characterized by adequate levels of quality is to investigate on the single service aspects, to verify what needs to be improved or maintained, and what does not need particular resources. In this paper, we want to provide a practical instrument for investigating airport transport service quality, based on the opinion expressed by a sample of passengers
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Multimodal transportation planning with freight consolidation and volume discount on rail freight rate Transp. Lett. (IF 1.84) Pub Date : 2020-12-08 Anoop K P; Vinay V. Panicker
ABSTRACT This work focuses on freight consolidation in multimodal rail and road transportation. The transportation network comprises of a centralized source warehouse, a set of destination warehouses, and intermediate transshipment terminals. The paper formulates a single period integer programming model and a multi-period constraint programming model for optimizing multimodal freight transportation
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Planning for Congestion Pricing Policies in the Middle East: Public Acceptability and Revenue Distribution Transp. Lett. (IF 1.84) Pub Date : 2020-12-07 Ammar Abulibdeh
ABSTRACT This study considered two types of congestion pricing, high-occupancy toll (HOT) lanes and cordon pricing, and the factors influencing their public acceptability if they are to be implemented in Abu Dhabi city in the United Arab Emirates (UAE). A revealed preference (RP) and stated preference (SP) surveys were conducted in the city to collect data. The public acceptability was analyzed based
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Exploring the relationships of the residential and workplace built environment with commuting mode choice: A hierarchical cross-classified structural equation model Transp. Lett. (IF 1.84) Pub Date : 2020-12-03 Xiaoquan Wang; Chunfu Shao; Chaoying Yin; Ling Guan
ABSTRACT The crucial role that the built environment plays in affecting commuting behavior has been widely examined with a primary focus on the residential built environment. Moreover, the spatial heterogeneities at residential and work locations are rarely considered simultaneously in the literature. Based on data from 2012 Changchun household travel survey, we employed a hierarchical cross-classified
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The impact of heterogeneous arrival and departure rates of flights on runway configuration optimization Transp. Lett. (IF 1.84) Pub Date : 2020-12-01 Kam K.H. Ng; C.K.M. Lee; S.Z. Zhang; K.L. Keung
ABSTRACT The rapid growth of the airline industry has caused an enormous demand in the context of air transport and air traffic congestion in several hub airports. In order to alleviate this situation and resolve the imbalance between the arrival and departure rate, efficient runway usage in airport capacity management is an immediate and feasible solution as compared to airport expansion and runway
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Railway transit network design based on fuzzy plant growth simulation algorithm. Transp. Lett. (IF 1.84) Pub Date : 2020-11-30 Xuelei Meng; Yahui Wang; Yong Qin; Wanli Xiang
ABSTRACT We propose a mathematical model to solve the railway transit network design problem, considering the total time spent in the travel of all the passengers on the network as the optimization goal. The number of passengers to be transported, train accommodating capacity, station capacity, railway section capacity, and available train number is taken as the constraints in the model. Then, we
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Stochastic programming model for integrating bus network design and dial-a-ride scheduling Transp. Lett. (IF 1.84) Pub Date : 2020-11-30 James Chih-Yuan Chu; Albert Y. Chen; Hsin-Hui Shih
ABSTRACT Travel demands in remote areas are scattered and unstable. Thus, the integration of different types of transportation can be beneficial for improving the service level of transportation systems in remote areas. This study proposes a two-stage stochastic programming (SP) model for the integrated planning of a fixed-route–fixed-schedule bus service and dial-a-ride (DAR) transportation (DART)
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An integrated approach to system dynamics and data envelopment analysis for determining efficient policies and forecasting travel demand in an urban transport system Transp. Lett. (IF 1.84) Pub Date : 2020-11-02 Pegah Norouzian-Maleki; Hamidreza Izadbakhsh; Morteza Saberi; Omar Hussain; Mustafa Jahangoshai Rezaee; Nasim GhanbarTehrani
ABSTRACT Easing transport congestion within a crowded urban environment requires management of travel demand. Managing traffic congestion in urban areas requires a set of effective policies and knowing when to apply them. In this paper, we focus on the managers’ need to determine the most effective policies to respond to changing travel demands. We propose a new framework to achieve this aim by applying
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Modeling lateral movement decisions of powered two wheelers in disordered heterogeneous traffic conditions Transp. Lett. (IF 1.84) Pub Date : 2020-11-01 Rushikesh Amrutsamanvar
ABSTRACT This article reports a systematic investigation carried out to model the lateral movement decisions of Powered-Two-Wheelers (PTWs) in disordered heterogeneous traffic conditions. The lateral maneuvering decisions of PTWs were framed as a typical multiclass classification problem, and significant factors governing such decisions were identified. Four machine learning models, along with the
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A new evaluation method to quantify drivers’ lane keeping behaviors on urban roads Transp. Lett. (IF 1.84) Pub Date : 2020-10-01 Metin Mutlu Aydin
ABSTRACT Poor lane keeping behaviors may cause problems and ‘Level’ of lane keeping has received little attention from the researchers to gain a better understanding on degree of untidiness. Unfortunately, previous studies have not clarified the drivers’ lane keeping levels. For this reason, ‘level of untidy’ should be defined and the question of ‘in which level’ needs to be answered. Paper suggests
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Optimal off-ramp terminal locating strategy based on traffic safety and efficiency Transp. Lett. (IF 1.84) Pub Date : 2020-10-25 Ziyang Liu; Jie He; Changjian Zhang; Xintong Yan; Hao Zhang
ABSTRACT Off-ramps are key nodes which connect urban elevated highways and auxiliary roads, and the distance between an off-ramp terminal and an intersection (ORTI-D) relates directly to traffic safety and efficiency. The authors introduced a new off-ramp terminal locating strategy considering traffic safety and efficiency synthetically. After building a basic VISSIM simulation model which included
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A resource-oriented decomposition approach for train timetabling problem with variant running time and minimum headway Transp. Lett. (IF 1.84) Pub Date : 2020-09-23 Zhengwen Liao; Jianrui Miao; Lingyun Meng; Haiying Li
Solving the practical train timetabling problem under complex real-life train operation environment is challenging. This article addresses the train timetabling problem considering the variant parameters (i.e. running time and minimum headway) depending on stop-decisions. Based on a resource-oriented decomposition representation of safety headway, the train timetabling is modeled by cumulative flow
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Adaptive multi-phase approach for solving the realistic vehicle routing problems in logistics with innovative comparison method for evaluation based on real GPS data Transp. Lett. (IF 1.84) Pub Date : 2020-09-22 Emir Žunić; Sead Delalić; Dženana Đonko
Transportation management, as a part of the supply chain management, is a complex process that consists of planning and delivering goods to customers. The paper presents a complete multi-phase intelligent and adaptive transportation management system, which includes data collection, parameter tuning, and the heuristic algorithm based on the Tabu search for vehicle routing. The paper describes the procedure
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Clustered tabu search optimization for reservation-based shared autonomous vehicles Transp. Lett. (IF 1.84) Pub Date : 2020-09-18 Shun Su; Emmanouil Chaniotakis; Santhanakrishnan Narayanan; Hai Jiang; Constantinos Antoniou
This paper investigates the optimization of Reservation-based Autonomous Car Sharing (RACS) systems, aiming at minimizing the total vehicle travel time and customer waiting time. Thus, the RACS system and its routing are formulated with a consideration for system efficiency and passengers’ concerns. A meta-heuristic Tabu search method is investigated as a solution approach, in combination with K–Means
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Evaluating the performance of Chinese provincial road safety based on the output–input ratio Transp. Lett. (IF 1.84) Pub Date : 2020-09-11 Liangguo Kang; Chao Wu
Safety performance comparison among decision-making units (DMUs) is a useful approach for impelling underperforming DMUs to learn the safety practice of those benchmarking ones. Considering the output-input ratio, performance scores for Chinese provincial road safety from 2016 to 2018 are computed by using data envelopment analysis method. The results show that the average score of Chinese provincial
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Effect of curbside bus stops on passenger car units and capacity in disordered traffic using simulation model Transp. Lett. (IF 1.84) Pub Date : 2020-09-06 Pooja Raj; Gowri Asaithambi; A. U. Ravi Shankar
Representation of traffic in terms of Passenger Car Unit (PCU) is imperative to estimate capacity in disordered traffic. Many studies have been conducted on investigation of impacts of traffic and geometric conditions on traffic characteristics and PCUs. However, the sensitivity of PCUs due to roadside frictions are not adequately studied. To address this gap, this study aims to estimate PCU values
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Variable fixing heuristics for the capacitated multicommodity network flow problem with multiple transport lines, a heterogeneous fleet and time windows Transp. Lett. (IF 1.84) Pub Date : 2020-09-01 Lucas Rebouças Guimarães; Jorge Pinho de Sousa; Bruno de Athayde Prata
In this paper, we investigate a new variant of the multi-commodity network flow problem, taking into consideration multiple transport lines and time windows. This variant arises in a city logistics environment, more specifically in a long-haul passenger transport system that is also used to transport urban freight. We propose two mixed integer programming models for two objective functions: minimization
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Modeling overtaking distance and time along two-lane undivided rural highways in mixed traffic condition Transp. Lett. (IF 1.84) Pub Date : 2020-09-01 Tushar Choudhari; Anuj Budhkar; Avijit Maji
Overtaking in a two-lane rural highway is a critical maneuver for safety and operations. This paper presents overtaking distance and time models for mixed traffic based on 117 accelerative overtaking maneuvers by 28 drivers. A passenger car (PC) fitted with GPS and cameras was used to record the overtaking maneuvers while passing motorized three-wheelers, PCs, light commercial vehicles, and heavy vehicles
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Benefit-cost assessment of truck climbing lanes: a case study of I-80 in Wyoming Transp. Lett. (IF 1.84) Pub Date : 2020-09-01 Muhammad Tahmidul Haq; Milan Zlatkovic; Khaled Ksaibati
In combination with challenging geometrical characteristics and environmental conditions, heavy truck traffic along interstate 80 (I-80) in Wyoming often creates operational and safety issues. One of the potentially effective countermeasures that can improve traffic conditions along vertical grade sections is the installation of climbing lanes. This paper presents an operational and safety-based benefit-cost
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Mobility-as-a-service: insights to policymakers and prospective MaaS operators Transp. Lett. (IF 1.84) Pub Date : 2020-09-01 Ioanna Pagoni; Marco Gatto; Ioannis Tsouros; Athena Tsirimpa; Amalia Polydoropoulou; Giuseppe Galli; Tito Stefanelli
Mobility-as-a-Service is an innovative concept which is anticipated to offer seamless, end-to-end mobility to customers. As MaaS market continues to grow, a better understanding of the current barriers and enablers is essential for informing policy interventions. For this purpose, this paper conducts a detailed review of the existing European regulations and policy framework, while collecting qualitative
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Rule compliance and desire lines in Barcelona’s cycling network Transp. Lett. (IF 1.84) Pub Date : 2020-08-27 Adam Lind; Jordi Honey-Rosés; Esteve Corbera
A major challenge in the development of new cycling infrastructure is the design of intersections that are safe, appropriately used, and inclusive. In this paper we study how cyclists interact with existing street design at intersections in Barcelona. We observed rule compliance (n = 5,063) and desire lines (n = 5,082) at six intersections over 12 weekdays. We find that 78.9% of cyclists comply with
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Speed prediction models for heavy passenger vehicles on rural highways based on an instrumented vehicle study Transp. Lett. (IF 1.84) Pub Date : 2020-08-26 Vinayak Malaghan; Digvijay S. Pawar; Hussein Dia
This study developed operating speed prediction models on tangents, curves, and tangent-to-curve transitions for heavy passenger vehicles (HPVs), using continuous speed profiles. Continuous speed profile data for HPVs were collected on two-lane rural highway sections, spanning a total length of 77 km. The curve radius, degree of curve, and preceding tangent length were found to be the influencing variables
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Exploring the effects of passive transit signal priority design on bus rapid transit operation: a microsimulation-based optimization approach Transp. Lett. (IF 1.84) Pub Date : 2020-08-19 Ying-Chuan Ni; Hsien-Hao Lo; Yu-Ting Hsu; Hung-Jen Huang
The Bus Rapid Transit (BRT) system can be a cost-effective alternative to foster public transportation. However, the delay in signalized intersections is critical to the stable progression of BRT operation. Transit Signal Priority (TSP) control has been studied to enhance the BRT operation. Nevertheless, the implementation of TSP may also impact general traffic and induce objection from the public
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A multistage analytic model of the longitudinal and lateral acceleration during lane changing in work zone areas with the aid of a driving simulator experiment Transp. Lett. (IF 1.84) Pub Date : 2020-08-18 Ke Duan; Xuedong Yan; Lu Ma; Junyu Hang; Xiaomeng Li
The problem of modelling the lane-changing process in work zone areas is important. This study proposed a multistage analytic model based on driving simulator experiment. Several scenarios under different traffic volumes and lane-ends sign positions are tested to collect the behavioral variables including distance, speed, and acceleration. Three successive stages covering the initiation part (including
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Estimation of critical gap of U-turns at uncontrolled median openings considering Iran’s driver behavior Transp. Lett. (IF 1.84) Pub Date : 2020-08-10 Arash Mazaheri; Ahmad Akbarzadeh; Amir Masoud Rahimi; Mahmood Akbarzadeh
The critical gap is typically used to determine the capacity at unsignalized intersections. A few studies have been carried out on the estimation of the U-turn critical gap at uncontrolled median openings. In this research, the critical gap was calculated using four well-known methods, Maximum Likelihood Method (MLM), Ashworth’s, Raff, and acceptance curve for different types of U-turn vehicles at
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Deciding about the effective factors on improving public transit popularity among women in developing countries Transp. Lett. (IF 1.84) Pub Date : 2020-07-29 Navid Nadimi; Amin Khoshdel Sangdeh; Amir Mohammadian Amiri
Women usually have more flexibility in time and mode choice and it might be easier to attract them to public transportation (PT) systems. In addition, in developing countries, there are limitations for women in using transportation systems. By specifying effective factors on the popularity of PT systems among women, we can pursue two objectives in developing societies. The first achievement is a decrease
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Railway freight subsidy mechanism based on multimodal transportation Transp. Lett. (IF 1.84) Pub Date : 2020-07-09 Chuanzhong Yin; Yu Lu; Xingfang Xu; Xuezong Tao
To improve the market competitiveness of railway transportation in a multimodal transport system, China’s local governments have adopted their own freight subsidy policies. This has resulted in a disorderly competition for the China Railway (CR) Express. To address this problem, this study aims to determine a suitable freight subsidy mechanism that considers various influencing factors, such as operating
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Evolutionary game analysis and simulation with system dynamics for behavioral strategies of participants in crowd logistics Transp. Lett. (IF 1.84) Pub Date : 2020-07-07 Zhang Yi; Chuankai Xiang; Lanxin Li; Hong Jiang
Crowd logistics is believed to be an innovative idea that can solve the dilemma lying in the scattered transportation resources and unstable demands of urban freight transport. However, the negative interactions among the participants have left crowd logistics an unstable development. In order to reveal the interactions, which occur under the bounded rationality and discover influencing factors to
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An empirical study of the labor supply of ride-sourcing drivers Transp. Lett. (IF 1.84) Pub Date : 2020-07-02 Zhengtian Xu; Daniel A.M.C. Vignon; Yafeng Yin; Jieping Ye
The work scheduling flexibility enjoyed by drivers of ride-sourcing platforms poses challenges for these platforms in effectively managing their workforce. A key to resolving these challenges is to understand how drivers set up their work schedule so as to inform management decisions. This letter summarizes our investigation of ride-sourcing drivers’ working hour decisions. Leveraging comprehensive
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Latent class analysis of residential and work location choices Transp. Lett. (IF 1.84) Pub Date : 2020-06-22 Rajesh Paleti; Sabyasachee Mishra; Khademul Haque; Mihalis M. Golias
This paper developed a two-stage modeling framework for analyzing residential and work location choices with probabilistic choice sets. In the first stage, a household (or a worker) was assumed to select a neighborhood (such as central business district, urban, suburban etc.) to live (or work). In the second stage, the household (or worker) was assumed to choose a specific zone conditional on the selected
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A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow Transp. Lett. (IF 1.84) Pub Date : 2020-06-17 Amir Bahador Parsa; Ramin Shabanpour; Abolfazl (Kouros) Mohammadian; Joshua Auld; Thomas Stephens
This study presents a model to characterize changes in network traffic flows as a result of implementing connected and autonomous vehicle (CAV) technology based on traffic network and built-environment characteristics. To develop such a model, first, the POLARIS agent-based modeling platform is used to predict changes in average daily traffic (ADT) under CAV scenario in the road network of Chicago
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A review of the critical elements and development of real-world connected vehicle testbeds around the world Transp. Lett. (IF 1.84) Pub Date : 2020-05-12 Azadeh Emami; Majid Sarvi; Saeed Asadi Bagloee
Concerning the critical role of Intelligent Transportation System (ITS) in tackling the problem of traffic congestion, and enhancing the safety, mobility and sustainability of the transport network, this paper provides a comprehensive review of recent developments in Connected Vehicle (CV) technology, its features and terminology. The real-world implementation of the CV technologies can result in a
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A comparative analysis of the performance of turbo roundabouts based on geometric characteristics and traffic scenarios Transp. Lett. (IF 1.84) Pub Date : 2020-05-04 Amir Reza Dabiri; Iman Aghayan; Farhad Hadadi
This study aimed to investigate the effect of geometric characteristics and traffic scenarios on the performance measures, including delay, volume to capacity (v/c) ratio, capacity, and the level of service (LOS) in basic and rotor turbo roundabouts. In addition, it attempted to compare turbo roundabouts using performance measures based on geometric characteristics and traffic scenarios. The results
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Disaster relief on destructive transportation networks using a circle-based approach Transp. Lett. (IF 1.84) Pub Date : 2020-05-03 Saber Shiripour; Nezam Mahdavi-Amiri
We formulate an integrated mathematical model for distribution of the injured on a three-type transportation network with destroyable independent links and with actual travel times considering two different groups of the injured. The aim is to find the temporary locations for aid stations and their capacities, the percentage of the injured with various severities allocated to each station and to different
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Cycling in virtual reality: modelling behaviour in an immersive environment Transp. Lett. (IF 1.84) Pub Date : 2020-04-29 Martyna Bogacz; Stephane Hess; Charisma F. Choudhury; Chiara Calastri; Faisal Mushtaq; Muhammad Awais; Mohsen Nazemi; Michael A.B. van Eggermond; Alexander Erath
Immersive technologies in transport research are gaining popularity, allowing for data collection in a controlled dynamic setting. Nonetheless, their ecological validity is still to be established hence their use in mathematical modelling in a transport setting has been scarce. We aim to fill this gap by conducting a study of cycling behaviour where non-immersive and immersive presentation methods
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Modeling the competitiveness of a bike-sharing system using bicycle GPS and transit smartcard data Transp. Lett. (IF 1.84) Pub Date : 2020-04-29 Christian Kapuku; Seung-Young Kho; Dong-Kyu Kim; Shin-Hyung Cho
Competitiveness is an important factor for the sustainable mobility of an integrated multimodal system. In this study, we explore and answer the question concerning what makes bike-sharing trips more competitive than bus trips. The empirical analysis is conducted using transit smartcard and bike-sharing GPS data collected in Seoul, and logistic regression models were developed to understand the factors
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