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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Transit Network Design and Frequency Setting Problem (TNDFSP) is considered as a multi-objective optimization problem in which the routes of the transit network are determined while the operational constraints are taken into consideration. In this study, an optimization approach based on cuckoo search (CS) algorithm was proposed to solve this problem. Apart from the development of the optimization

The present research work provides a methodology of calibration of the vehicle-following behavior in VISSIM using vehicle trajectory data obtained under non-lane-based mixed traffic conditions. In this context, two access-controlled mid-block sections, one on the multi-lane urban road with six-lane-divided carriageway and the second one with eight-lane-divided carriageway are identified for extracting

This article introduces a solution approach for the Stochastic Capacitated Vehicle Routing Problem (SCVRP) with uncertain demands, called Robust Simulation-Based (RoSi) approach. RoSi aims at designing route plans that can be more or less robust based on a decision-maker weight, i.e. solutions that resist demand changes with marginal additional (recourse) cost. For that, RoSi combines simulation with

Maritime transportation constitutes a dynamic Greek economic sector. Greece accounted for 25% of the Maritime Passenger Traffic (MPT) in the European Union in 2007. However, due to the economic recession since 2009, maritime passenger transportation has been facing increasing fuel prices along with declining demand. In this paper, we develop transfer function models, including macroeconomic indicators

The importance of traffic pattern prediction for traffic management systems has significantly increased in recent years. This paper presents a novel method to find unusual traffic patterns by using topic modeling. We have employed topic models to provide an abstraction of speed camera data from Tehran, the capital of Iran. In this methodology, topic modeling is applied to days of weeks and months in

ABSTRACT Mobility-as-a-Service (MaaS) can be considered the latest innovative technological solution to sustainable transportation. It offers travelers access to a pre-paid bundle of transportation modes on a single app with the additional convenience of the integration of planning, booking, and payment. Capturing the impact of this new technology on travel behavior remains a challenge, given the scarce

The calculation and analysis of subway network capacity is one of the core issues of network operation. This paper focuses on this topic and proposes a passenger-oriented network capacity calculation method. First, subway network capacity is defined as maximum passenger demand that the network can serve under certain level of service requirement. Next, a method to calculate network capacity based on

ABSTRACT This study was aimed at comparing cyclists’ perceptions of comfort when in traffic and when online. Questions about comfort were structured according to three hierarchical levels, namely strategic (city level), tactical (frequent route level) and operational (survey spot level). The purpose is to understand how the cyclists’ perceptions of comfort at different levels vary between questionnaire

Due to the complex structure of observation based traffic accident data and the absence of an analytic model to define their characteristics, different models are required. Accident characteristics have been modeled for different road segments with two different methods: evolutionary data clustering method and resilient neural networks. In the first method, observation data was clustered using an evolutionary

In automated container terminals, effectively scheduling quay cranes (QCs), automated guided vehicles (AGVs), automated stacking cranes (ASCs) and AGV routing are two important problems. This paper studies the combinatorial optimization of two problems in the synchronous loading and unloading operation mode of the automated container terminal. First, a bi-level programming model for integrated scheduling

This study proposes a Bayesian network (BN)-based approach to research the relationships between metro transfer perception time (MTPT) in different seasons and its influencing factors, and explores the strategies on reducing the MTPT for the improvement of the transfer experiences of passengers. Taking the city of China, Beijing, as the study area, the data related to the MTPT are collected in different

Emerging mobility services are being increasingly regulated, with several cities testing car-lite policy interventions in pilot study areas before a metro-wide implementation. This study uses an agent-based LUTI microsimulation model to examine the effect of accessibility improvements on private mobility holdings, both directly and through the mediating effect of housing choice. Different market responses

Factors including unbalanced user travel demand, vehicle charging status, and high operating cost of enterprises have restricted the development of electric vehicle car-sharing. This paper comprehensively considers the impact of multiple dynamic constraints such as user demand, state of charge of electric vehicles, and operating profit on vehicle relocation. The travel behavior of consumers is studied

The speeds of traffic and freeway throughputs at the merge, diverge, and weaving areas are reduced significantly due to vehicle lane changes and increased traffic volumes. This study proposes a solution, referred to as split design (i.e. split merge, diverge, and weaving). The key concept is to make geometric changes to the existing ramp designs to create two merge or diverge points, such that potential

This paper aims to assess the policy gap in port selection of liner shipping companies. Based on the operational features of liner shipping and relevant literature, the port selection factors (PSFs) of liner shipping companies are first investigated. An assessment model of the policy gap based on an improved ANP (Analytic Network Process) approach is then proposed to assess the perceived differences

One of the main objectives of policymakers is to reduce crash severity due to high social impacts and economic loss associated with severe crashes. One of the most efficient ways to achieve this objective is through identification of the contributory factors to severe crashes. Highway traffic barriers have been installed with the objective of protecting motorists who have drifted off the roadway. Although

When performing microscopic traffic simulations, a premise is to have appropriately calibrated parameter values. This is often computationally expensive as it requires repeatedly running simulations. In this paper, we propose a machine learning (ML) + particle swarm optimization (PSO)-based methodology for calibrating microscopic traffic simulator parameters to improve computational efficiency. We

The equations used to calculate horizontal curve radius are presented in geometric design regulations based on the following assumption: the curve is on the flat ground without overlap with longitudinal slope or any vertical curve. The aim of this study is to evaluate the effect of overlapping longitudinal slope and vertical curves on the horizontal curve radius. For this purpose, three different cases

Inventory control and logistics are both important to the success of a supply chain. These problems become highly complicated when the demand of end-users is uncertain. The demand uncertainty could have a considerable destructive effect on a supply chain, e.g. bullwhip effect. Therefore, this paper proposes a two-stage approach to study an inventory-routing problem for a three-echelon single-item supply

As new shared mobility services emerge there is an increasing need for better understanding of the role and potential markets of these services which would result in viable business models. The current research aims at exploring Demand Responsive Transport (DRT) services, as a case of efficient mobility service provision for low demand interurban areas. Analytical models are developed and applied in

Taxis play an indispensable role as the main mode of paratransit in many cities in the developing countries. To the best of our knowledge, research on taxi service quality, and certainly studies focusing on developing countries, are quite rare. Using a subjective approach (data collected from passengers), this study examines the main determinants that affect user’s perception of fixed-route taxi services

The objective of this paper is to examine whether and, if so, to what degree car ownership preferences of different age cohorts are changing over time. This question is examined by estimating a joint discrete choice model for car ownership at the household level. To identify change with respect to period, age, and generation, while also controlling for a variety of confounding factors, a model with

In this paper, we introduce the Electric Vehicle Routing Problem with Flexible Time Windows (EVRPFTW) in which vehicles are allowed to serve customers before and after the earliest and latest time window bounds, respectively. The objective of this problem is to assign electric vehicles to feasible routes and make schedules with minimum total cost that includes the traveling costs, the costs of using

The paper proposes a parameter named as lateral merging position (LMP) to understand the placement characterises of U-turning vehicle at mid-block median opening (MBMO) in divided urban roads (DiUR). In this regard, videography data were collected from 14 MBMOs. The LMP was estimated for different categories of U-turning vehicles and the statistical distributions to describe the LMP in 6-lane and 4-lane

Unlike the past studies targeting overall mobility patterns, we examined a wide range of probability density functions among which Weibull found to better explain the human mobility rather than the widely tested power-law distribution. We further examined a variety of factors affecting human mobility such as people’s trip attributes and socio-demographics traits. Moreover, the models show that social

The introduction of innovative mobility services such as car sharing leads to changes in users’ travel habits, inducing a shift of travel demand from existing travel modes. An analysis of such changes should be performed to promote car sharing, managing travel demand effectively. Policies should be developed to induce the switch only from private modes, avoiding the shift from public transport and

ABSTRACT Activity Chain Optimization (ACO) is the task of finding a minimum-cost tour that visits exactly one location for each required activity while respecting time window constraints. We develop an exact algorithm that efficiently solves the ACO problem in all practical cases that involve hundreds of locations offering up to 10–15 activities and returns the optimal route with minimal time spent

Hinterland transportation costs constitute a significant portion of total container transport costs. However, the repositioning effects of empty containers in hinterland areas have not been studied well compared to those in maritime areas. In addition, the effects of using foldable containers have not been investigated fully at an operational level. In this study, we analyze the effects of using a

Stochastic bid price optimization of truckload carriers in simultaneous independent transportation auctions requires estimating the probability distributions of the clearing prices. Historical data can be used for this purpose. The sole estimation method found in the literature for this problem setting only takes the length of the auction load into account. In this paper, we devise methods for load-specific

ABSTRACT This work develops and investigates the performance of a new control law, specifically a Linear-Quadratic Regulator augmented with integral action (LQI), for the local ramp metering control problem when bottlenecks are located many kilometers (up to 5 km) downstream of the metered on-ramp. LQI makes use of measurements all along the stretch extending from the controllable on-ramp to the bottleneck

A shared parking space optimization (SPSO) model is established to alleviate China’s parking problem considering travelers’ tiered credit risk. The SPSO model has the following characteristics: travelers’ possibilities for default are measured by credit value; travelers with different credit tiers are classified and managed; the success of the shared parking space will be affected by the traveler’s