样式: 排序: IF: - GO 导出 标记为已读
-
Influential factors of pedestrian and bicycle crashes near Pedestrian Hybrid Beacons: Observing trends through an applied analysis Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2024-03-12 Xi Zhang, Alyssa Ryan, Yao-Jan Wu
Pedestrian Hybrid Beacons (PHBs) facilitate safe pedestrian crossings at marked crosswalks in unsignalized locations. However, few studies have recognized situations in which individuals may cross ...
-
Understanding key factors in automated vehicle collisions: Automating data extraction and analyzing key insights using explainable AI Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2024-02-26 Saquib M. Haroon, Alyssa Ryan
With the growing development and deployment of automated vehicles (AVs), it is crucial to understand the associated risks and factors contributing to collisions involving AVs. California possesses ...
-
Safety assessment of pedestrian-vehicle interaction at signalized intersections: An observational study Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2024-02-16 Valerio Gagliardi, Chiara Ferrante, Francesco Bella
Road safety is a crucial aspect of global policies and management. Surrogate Safety Measures (SSMs) have gained attention in the study of pedestrian safety. This study aims to establish an effectiv...
-
Enhancing urban metro system resilience under disruptive events through multi-agent reinforcement learning Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2024-02-05 Erlong Tan, Xiaolei Ma, Yuchuan Du, Zhao Zhang
With urban rail transit (URT) systems playing an increasingly crucial role in megacity mobility, the rising frequency of service disruptions may pose substantial passenger delays and safety concern...
-
Incorporating spatio-temporal correlation and interaction into a generalized ordered logit model for examining injury severities of traffic accidents Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2024-02-01 Qiang Zeng, Ziyi Xu, Yitao Liang, Jaeyoung Lee, Xiaofei Wang
Spatio-temporal correlation and interaction are significant features of traffic accident data. To account for the spatio-temporal correlation and interaction and the ordinal nature simultaneously, ...
-
Identifying nonlinear effects of factors on hit-and-run crashes using interpretable machine learning techniques Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2024-01-06 Liang Xu, Yilong Ren, Haiyang Yu, Kun Wang
Previous research on hit-and-run crashes employed regression methods or machine learning techniques. However, regression methods necessitate preestablished model formulations, making it challenging...
-
Injury severity of single-vehicle weather-related crashes on two-lane highways Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-12-13 Nabeel Saleem Saad Al-Bdairi, Salah L. Zubaidi, Hamsa Zubaidi, Ihsan Obaid
Roadway safety is immensely affected during adverse weather conditions. Therefore, this study seeks to quantify such effects on the injury severity of involved drivers in single-vehicle crashes on ...
-
Freeway crash risk prediction considering unobserved heterogeneity: A random effect negative binomial regression approach Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-12-12 Zeyang Cheng, Xinpeng Yao, Yiman Bao, Yiming Li, Zhongxiang Feng, Zijian Wang
Unobserved heterogeneity of crashes remains a significant issue for freeways that influence crash prediction, and therefore deserves much attention. Using a fusion data set of crash data, driving b...
-
Investigating the impact of influential factors on crash types for autonomous vehicles at intersections Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-12-06 Yubin Chen, Yajie Zou, Xiaoqiang Kong, Lingtao Wu
Autonomous Vehicles (AVs) are being promoted as an emerging technology with the potential to improve traffic efficiency and safety. However, the scarcity of publicly available AV crash data contrib...
-
Modeling car and heavy commercial vehicle crashes on two-lane rural highways using the Poisson-Tweedie regression approach Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-11-23 Jaydip Goyani, Shriniwas Arkatkar, Gaurang Joshi, Said Easa
This article develops vehicle type–based crash-prediction models for cars and heavy commercial vehicles (HCVs) as a function of the curve geometry and vehicle-based design consistency criteria unde...
-
A comparison of patterns and contributing factors of ADAS and ADS involved crashes Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-11-22 Song Yan, Chunxi Huang, Dengbo He
Crashes involving Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS) have been increasing in recent years. Understanding the characteristics of these crashes can guide th...
-
Examining the crash risk factors associated with cycling by considering spatial and temporal disaggregation of exposure: Findings from four Dutch cities Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-11-06 Teun Uijtdewilligen, Mehmet Baran Ulak, Gert Jan Wijlhuizen, Frits Bijleveld, Karst T. Geurs, Atze Dijkstra
Cycling levels in cities keep increasing, which is accompanied with more cyclists being involved in serious road crashes. This paper aims to contribute to safer urban cycling by examining risk fact...
-
Factors affecting pedestrian injury severity in pedestrian-vehicle crashes: Insights from a data mining and mixed logit model approach Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-11-03 Huijie Ouyang, Yin Han, Pengfei Liu, Jing Zhao
There has been a concerning rise in pedestrian fatalities resulting from traffic accidents. This study conducts an in-depth analysis of the factors that contribute to the injury severity of pedestr...
-
Enhancing bicyclist survival time in fatal crashes: Investigating the impact of faster crash notification time through explainable machine learning Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-11-03 Iman Mahdinia, Nastaran Moradloo, Amin Mohammadnazar, Asad Khattak
Bicyclists are recognized as vulnerable road users, with the escalating fatalities posing a safety concern. While fatal crashes involving bicyclists are often assumed to be similar, there is a cruc...
-
Traffic safety performance evaluation in a connected vehicle environment with queue warning and speed harmonization applications Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-11-03 Adekunle Adebisi, John E. Ash
With the increased adoption of connected vehicle (CV) technologies, safety information is becoming increasingly available to drivers. This study investigates three main questions (1) Do CV-based tr...
-
COVID-19, tourism and road traffic accidents: Evidence from Greece Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-10-09 Andreas Psarras, Theodore Panagiotidis, Andreas Andronikidis
The COVID-19 pandemic has resulted in the implementation of traffic and movement restrictions as governments were trying to limit the spread of the virus. Tourism has been affected by these travel ...
-
Prediction of high-risk bus drivers characterized by aggressive driving behavior Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-10-11 Eunsol Cho, Yunjong Kim, Seolyoung Lee, Cheol Oh
Identification of driving behavior is a fundamental to developing effective treatments to address various traffic-related problems. In particular, the driving behavior of city bus drivers is of gre...
-
Modeling non-parametric effects of two-vehicle speed on crash risk at intersections: Leveraging two-dimensional additive logistic regression beyond univariable approach Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-09-26 Pengfei Cui, Xiaobao Yang, Lu Ma, Chaoxu Mu
Understanding the relationship between vehicle speed and the risk of sustaining a life-threatening injury has garnered continual attention. This study seeks to gain deep insight into the relationsh...
-
Data-driven gale-induced risk assessment strategy for the high-speed railway system Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-09-26 Guanyuan Zhao, Xiaoping Ma, Xuying Qiu, Hanqing Zhang, Zhiping Zhang
Railway accidents caused by gales are indeed influenced by multiple factors, making them a complex process. However, current research and monitoring systems often focus solely on wind speed, overlo...
-
Temporal assessment of injury severities of two types of pedestrian-vehicle crashes using unobserved-heterogeneity models Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-09-11 Chenzhu Wang, Muhammad Ijaz, Fei Chen, Said M. Easa, Yunlong Zhang, Jianchuan Cheng, Muhammad Zahid
Abstract This study explores the temporal instability and non-transferability of the determinants affecting injury severities of pedestrians struck by motorcycles and non-motorcycles. Using the pedestrian-vehicle crash data in Rawalpindi, Pakistan, over three years (2017–2019), three possible crash injury severity categories (minor injury, severe injury, and fatal injury) are estimated using alternative
-
Exploring contributing factors to improper driving actions in single-vehicle work zone crashes: A mixed logit analysis considering heterogeneity in means and variances, and temporal instability Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-09-05 Rakesh Rangaswamy, Nawaf Alnawmasi, Zhenyu Wang, Pei-Sung Lin
Abstract A work-zone introduces unexpected conditions for road users and may cause severe safety issues. This study aims to understand drivers’ pre-crash improper actions, which are the major contributing factor to the crash occurrence and outcomes severity in single-vehicle (SV) work-zone crashes. A mixed logit model with heterogeneity in mean and variance was developed using Florida’s seven-year
-
An exploratory analysis of two-vehicle crashes for distracted driving with a mixed approach: Machine learning algorithm with unobserved heterogeneity Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-08-24 Mouyid Islam, Deep Patel, Ahmed Sajid Hasan, Mohammad Jalayer
Abstract Two-vehicle crashes resulting from distracted driving led to a higher number of fatalities and serious injuries more than time. This study utilized machine learning and econometric models to investigate two-vehicle-involved distracted driving crashes from the Crash Report Sampling System within the United States. XGBoost and Random Forest were utilized to identify the top variables based on
-
Analyzing the time-varying patterns of contributing factors in work zone-related crashes Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-08-16 Subasish Das, Anandi Dutta, Reuben Tamakloe, Md Nasim Khan
Abstract Work zones are crucial for maintaining and enhancing road infrastructure, but they also pose a significant risk to traffic safety. Between 2016 and 2020, work zone-related crashes in the United States increased by 13%, highlighting the pressing need for effective safety measures. This study examines the factors that influence work zone crashes, including traffic control devices, geometric
-
Truck drivers’ self-reported engagement in overloading: An application of the extended theory of planned behavior Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-08-10 Muladilijiang Baikejuli, Jing Shi
Abstract The aim of this study is to identify the psycho-social determinants of truck overloading from a behavioral perspective. Although there has been sizable efforts to investigate overloading from different perspectives, factors influencing truck drivers’ decisions to overload have not been revealed. In this study, sampling 552 truck drivers, we used the theory of planned behavior (TPB), extended
-
An exploration of the effects of various street lighting conditions on driver behaviors and safety at stop-controlled intersections: A driving simulator experiment Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-07-26 Hisham Abdu Kunnah, Hany M. Hassan
Abstract Lack of visibility is one of the challenges that impact drivers’ ability to perform driving tasks at night. Although prior studies indicated that lighting increases nighttime safety, lighting at stop-controlled intersections is not mandatory according to many U.S. states’ guidelines. This paper aims to investigate the impact of different lighting conditions on safety-related driving behavior
-
Analysis of human errors in maritime accidents: A Bayesian spatial multinomial logistic model Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-07-24 Tianyi Sheng, Jinxian Weng, Kun Shi, Bing Han
Abstract Considering the unobserved spatial heterogeneity, this study aims to build a Bayesian spatial multinomial logistic (BSMNL) model by utilizing the geographic information from historical maritime accidents. The proposed BSMNL model can be applied to investigate the determinants of human errors involved in maritime accidents. Compared to the traditional multinomial logistic (MNL) model, the proposed
-
Severity analysis of red-light–running behavior at signalized intersections Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-07-17 Pouya Jalali Khalilabadi, Abolfazl Karimpour, Yao-Jan Wu
Abstract Red-light running (RLR) is one of the riskiest behaviors at signalized intersections. This study utilizes intersection- and corridor-level characteristics to identify variables that impact the frequency and severity of RLR violations. The severity of RLR is defined based on the time when the violations happened. That is, less severe violations are the ones that occur within 3 seconds of the
-
How to select distracted driving countermeasures evaluation metrics: A systematic review Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-07-17 Meiyu (Melrose) Pan, Alyssa Ryan
Abstract While there are numerous performance metrics that have been developed for the evaluation of distracted driving prevention programs, there is little information on how to select them depending on the requirements and/or objectives of the study. This paper describes a systematic literature review that was conducted on the metrics for evaluating distracted driving countermeasures in order to
-
Corridor-level network screening and modeling of fatal and serious injury crashes on urban and suburban arterial corridors in Florida Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-07-13 John McCombs, Adrian Sandt, Haitham Al-Deek
Abstract Network screening is a key aspect of the safety management process. The current standard methods in the Highway Safety Manual assume that intersections and roadway segments are independent, even though interactions between sites likely exist. One way to account for these interactions is by studying roadway corridors made of consecutive intersections and segments. This paper developed a roadway
-
Exploring the main and interaction effects of traffic flow characteristics, roadway design and weather conditions on the real-time crash risk for urban roads with mixed logit model Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-07-05 Xian Liu, Jian Lu, Boqing Wang, Maoying Zhu, Fang Zhang, Xiang Chen
Abstract The present study aims at investigating the main and interaction effects of contributing factors from multiple risk sources (i.e. traffic flow characteristics, roadway design and weather conditions) on the real-time crash risk for urban roads. A mixed logit model is used to characterise heterogeneity induced by unobservable factors, and result shows that the mixed logit model achieves better
-
Exploring the heterogeneities of factors affecting e-bicyclist severities in delivery e-scooter crashes Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-07-04 Ya Sun, Jianfeng Lu, Gang Ren, Jingfeng Ma
Abstract Delivery e-bicyclists are vulnerable traffic participants, and delivery e-scooter crashes annually cause great losses. There are limited empirical analyses performed to characterize the endogenous and exogenous influences of potential factors on delivery e-scooter crash severities. This study focused on identifying the heterogeneous impacts of contributing factors. Based on 3064 police-reported
-
Effects of shipping cycles on traffic delays and accident costs at port collector-distributor roads Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-07-04 Xiafan Gan, Jinxian Weng
Abstract Considering the differences in traffic delays and accident costs at different stages of the shipping cycle, this study develops a system dynamics model to determine the impacts of the shipping cycle on traffic delays and accident costs at port collector-distributor roads. Taking the collector-distributor roads of Yangshan Deepwater Port in Shanghai as a case study, parameter estimation and
-
Understanding distracted driving patterns of ride-hailing drivers from multi-source data: Applying association rule mining Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-06-21 Guanyang Xing, Shuyan Chen, Yongfeng Ma, Chenxiao Zhang, Zhuopeng Xie, Yi Zhu
Abstract This study aims to explore the association between distracted driving (including cognitive, visual, operational, and auditory distractions) and multi-source features of ride-hailing drivers, and to discover frequent patterns of distracted driving. To achieve this, a natural driving experiment was conducted, and an association rule mining (‘Apriori’ algorithm) was used to uncover hidden rules
-
Exploring the spatiotemporal heterogeneity of freeway secondary crashes using GTWR model Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-06-08 Huiwen Liu, Weihua Zhang, Shiguang Wang, Zeyang Cheng, Yangyang Gan
Understanding the effect of relevant variables on secondary crashes could provide reliable traffic intervention evidence for decision makers, which ultimately would contribute to the prevention of ...
-
Influence of adaptive signal control technology (ASCT) on severity of intersection-related crashes Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-05-25 John H. Kodi, MD Sultan Ali, Angela E. Kitali, Priyanka Alluri, Thobias Sando
Abstract Adaptive signal control technology (ASCT) is an advanced traffic control system that optimizes signal timing based on real-time traffic demand. ASCT can potentially improve the operation and safety of intersections by establishing dynamic coordination among signalized intersections in real-time. This study used a binary Bayesian logit model with random effects, which accounts for unobserved
-
Temporal instability assessment of motorcyclist-injury severities using categorical principal component analysis and random parameter approach with heterogeneity in means Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-05-22 Qiong Yu, Yue Zhou, Chuan Xu, Eskindir Ayele Atumo, Xinguo Jiang
Abstract Motorcyclists are considered as one of the most vulnerable road participants that often suffer higher injury severities. Furthermore, contributing factors of motorcyclist-injury severities may vary over time, which requires further investigation. In this study, with Michigan crash data from 2015 to 2018, categorical principal component analysis (CatPCA) is firstly conducted to assess the
-
Real-time driving risk assessment based on the psycho-physical field Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-05-09 Duo Zhang, Jian Sun, Junhua Wang, Rongjie Yu
Real-time Driving Risk Assessment (RDRA) is a critical component of traffic safety and is influenced by confounding impacts from drivers, surrounding vehicles, and roadway conditions. Previous stud...
-
An aggressive driving state recognition model using EEG based on stacking ensemble learning Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-05-05 Liu Yang, Qianxi Zhao
An aggressive driving state impacts drivers’ decisions, which could potentially lead to accidents. Real-time recognition of driving state is particularly important for improving road safety. Howeve...
-
A two-dimensional lateral interaction crash risk evaluation model considering imbalanced data Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-04-19 Rongjie Yu, Ning Xie, Hui Zhang
There are more than 539,000 crashes caused by vehicle-vehicle lateral interactions annually. To address this issue, proactively capturing lane-changing (LC) intentions and evaluating interaction cr...
-
Multiscale spatial analysis of macro-level determinants of bicycle crash frequencies in the Phoenix metro region Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-04-19 Steven R. Gehrke, Brendan J. Russo, Michael P. Huff, Edward J. Smaglik
The realization of the many benefits of bicycling will not be achieved in American regions until safer bike infrastructure and bicycling conditions are presented to a more general population. The P...
-
Evaluating the safe and eco-driving performances of car-following behaviors in a vehicle platoon under foggy conditions Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-04-18 Yan Huang, Xuedong Yan, Xiaomeng Li, Andry Rakotonirainy
The study aimed to evaluate safe and eco-driving performances of vehicle car-following behaviors in a vehicle platoon under foggy conditions. Eight drivers participated in a multi-user driving simu...
-
Plateau effect on driver’s hazard perception response mode: Graph construction approach Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-04-05 Chenzhu Wang, Mingyu Hou, Fei Chen, Jiayun Zhu, Jianchuan Cheng, Wu Bo, Ping Zhang, Said M. Easa
It is crucial for drivers to conduct rapid and effective risk perception and response processes when faced with hazardous driving situations. The low pressure and oxygen environment in the plateau ...
-
Utilizing angle-based outlier detection method with sliding window mechanism to identify real-time crash risk Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-03-27 Zhen Gao, Jingning Xu, Rongjie Yu, Lei Han
Developing real-time crash risk models has been a hot research topic as it could identify crash precursors and thus triggering active traffic management strategies. Currently, crash risk identifica...
-
A deep learning and full consistency approach to roadway safety scoring Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-03-16 Karim Soliman, Hesham M. Eraqi, Dalia Said, Hossam Abdelgawad
The World Health Organization (WHO) estimated that worldwide road traffic crashes account for 1.35 million annual deaths in 2018. Most studies in road safety field have focused on studying road fea...
-
Contributing factors on the level of delay caused by crashes: a hybrid method of latent class analysis and XGBoost based SHAP algorithm Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-03-16 Zehao Wang, Pengpeng Jiao, Jianyu Wang, Wei Luo, Huapu Lu
Road crashes cause significant traffic delay and bring unnecessary financial losses. This study investigates the impact of contributing factors on the level of delay caused by crashes (LDC) using T...
-
Investigating the impacts of driver’s risky driving behavior on traffic crash risk detection model Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-03-15 Miao Guo, Xiaohua Zhao, Ying Yao, Haiyi Yang, Jianyu Qi, Yuelong Su
This research investigates the impacts of the driver’s risky driving behavior on traffic crash risk detection by constructing four models, including models with and without the use of risky driving...
-
Tempo-categorization of road accident hotspots to enhance the problem diagnosis process and detect hidden hazardous locations Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-03-15 Zaniar Babaei, Mehmet Metin Kunt
Identifying roads’ hazardous locations and solving their problems are key measures in traffic safety management. However, since the traditional hotspot identification (HSID) rests on the yearly-agg...
-
Exploring the heterogeneities in vehicle-involved traffic violations at intersections using latent class clustering and partial proportional odds models Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-03-13 Ya Sun, Jianfeng Lu, Gang Ren, Jingfeng Ma
Vehicle-involved road crashes, mainly caused by traffic violations, result in major property damage and life losses annually. Thus, it is of vital importance to clarify the heterogeneities of vario...
-
Normalizing crash risk of partially automated vehicles under sparse data Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-03-01 Noah Goodall
The safety of increasingly automated vehicles is of great concern to regulators, yet crash rates are generally reported by manufacturers using proprietary metrics with limited source data. Without ...
-
Investigating the safety impacts of discontinuities in cycle network: A case study of London Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-02-26 Haojie Li, Ziqian Zhang, Huitao Lv, Gang Ren
With the dramatic increase in the number of cyclists, cycling safety has become a critical issue worldwide. It is important to ensure a safe, comfortable, and continuous cycling environment for cyc...
-
A methodology for prioritizing safety indicators using individual vehicle trajectory data Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-02-20 Yunjong Kim, Kawon Kang, Juneyoung Park, Cheol Oh
A methodology for assessing crash risk using vehicle driving trajectories based on data mining techniques was developed in this study. A variety of safety indicators reflecting the characteristics ...
-
A novel deep learning framework for detecting seafarer’s unsafe behavior Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-02-06 Haifeng Ding, Jinxian Weng, Bing Han
The accurate detection of seafarers’ unsafe behaviors is of great significance to improve the ship navigation safety. This study proposes an improved deep learning framework with a self-made datase...
-
Investigating the application of deep learning to identify pedestrian collision-prone zones Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-01-20 Haniyeh Ghomi, Mohamed Hussein
The main objective of this study is to understand the factors that contribute to the frequency of both the total pedestrian-vehicle collisions and collisions that involve pedestrian violations and ...
-
Gate violation prediction at highway-rail grade crossings using tree-based ensemble techniques Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-01-16 Li Zhao, Laurence R. Rilett, Chenhui Liu
Highway-rail grade crossing (HRGC) safety is one of the priority areas in the United States transportation system that requires for greater research efforts not just limited to crash analysis, but ...
-
Zone-level traffic crash analysis with incorporated multi-sourced traffic exposure variables using Bayesian spatial model Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-01-09 Hao Zhang, Jie Bao, Qiong Hong, Lv Chang, Wei Yin
The primary objective of this study is to discover traffic exposure variables from some new data sources and explore how these new data sources and their combination affects the performance of zone...
-
Combining emerging hotspots analysis with XGBoost for modeling pedestrian injuries in pedestrian-vehicle crashes: a case study of North Carolina Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2023-01-09 Yang Li, Wei (David) Fan, Li Song, Shaojie Liu
Pedestrians might face more dangers and sustain severer injuries in crashes than others. Also, the crash data has inherent patterns related to both space and time. Crashes that happened in location...
-
Structural equation modeling approach for investigating drivers’ risky behavior in clear and adverse weather using SHRP2 naturalistic driving data Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2022-12-22 Anik Das, Mohamed M. Ahmed
This study presented an extensive assessment of risky driving behavior through Structural Equation Modeling (SEM) technique and explored the applicability of this method in identifying contributing...
-
Near misses and split routes: Comparing rider behavior, driver interaction, and route choice for cyclists Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2022-12-13 Joseph Edward Iuliano, Ladd Keith
The built environment, cyclist behavior, and driver interactions can influence route choice and, ultimately, cyclist safety. Recent studies use crowdsourced data, such as Strava, to document route ...
-
Optimizing the guiding sign system to improve drivers’ lane-changing behavior at freeway exit ramp Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2022-12-13 Wang Xiang, Yanjie He, Qunjie Peng, Xiaomeng Li, Qingwan Xue, Guiqiu Xu
A high incidence of traffic accidents is often observed in freeway exit ramp areas. Slowing down, wandering, and changing lanes suddenly and continually in a short interval near the exit ramp are i...
-
A latent class multinomial logit analysis of factors associated with pedestrian injury severity of inter-urban highway crashes Journal of Transportation Safety & Security (IF 2.825) Pub Date : 2022-12-08 William Agyemang, Emmanuel Kofi Adanu, Jun Liu, Steven Jones
Over the years, the uncontrolled interaction of human and high-speed vehicular activities at settlement areas along highways in Ghana has resulted in many pedestrian fatalities and injuries. This p...