Analysis of the injury severity of motor vehicle–pedestrian crashes at urban intersections using spatiotemporal logistic regression models

Q Zeng, Q Wang, K Zhang, SC Wong, P Xu - Accident Analysis & …, 2023 - Elsevier
This paper conducted a comprehensive study on the injury severity of motor vehicle–
pedestrian crashes at 489 urban intersections across a dense road network based on high …

[HTML][HTML] Vehicle Lane Change Models—A Historical Review

X Liu, L Hong, Y Lin - Applied Sciences, 2023 - mdpi.com
Lane changing is a complex operation that has a significant impact on traffic safety. The
accurate identification and assessment of potential risks in the driving environment before …

Modeling the impact of driving aggression on lane change performance measures: steering compensatory behavior, lane change execution duration and crash …

A Adavikottu, NR Velaga - Transportation research part F: traffic psychology …, 2024 - Elsevier
The current study aimed to investigate the influence of driving aggression on lane change
behavior. Drivers belonging to three levels of aggressive driving styles (aggressive …

Traffic accident severity prediction with ensemble learning methods

S Çeven, A Albayrak - Computers and Electrical Engineering, 2024 - Elsevier
In this study, decision tree-based models are proposed for classification of traffic accident
severity. Traffic accident severity is classified into three categories. The data set used in the …

[HTML][HTML] Analysis of factors that influence injury severity of single and multivehicle crashes involving at-fault older drivers: A random parameters logit with heterogeneity …

R Dzinyela, EK Adanu, D Lord, S Islam - Transportation Research …, 2023 - Elsevier
The number of older drivers on our roads have been increasing given the upward shift of
older people in the population. It is well-known that older drivers are more susceptible to …

Investigating older driver crashes on high-speed roadway segments: a hybrid approach with extreme gradient boosting and random parameter model

A Hossain, X Sun, S Das, M Jafari… - … A: Transport Science, 2024 - Taylor & Francis
Older drivers are often more susceptible to crashes due to age-related physical and
cognitive limitations, particularly in complex driving environments. Considering the limited …

Exploring spatial heterogeneity in factors associated with injury severity in speeding-related crashes: An integrated machine learning and spatial modeling approach

Z Zhang, N Xu, J Liu, S Jones - Accident Analysis & Prevention, 2024 - Elsevier
Speeding, a risky act of driving a vehicle at a speed exceeding the posted limit, has
consistently emerged as a leading contributor to traffic fatalities. Identifying the risk factors …

Unobserved heterogeneity in ramp crashes due to alignment, interchange geometry and truck volume: Insights from a random parameter model

N Feknssa, N Venkataraman, V Shankar… - Analytic methods in …, 2023 - Elsevier
This paper presents a negative binomial random parameter model with heterogeneity in
means and variance to capture the effect of heterogeneous effect of ramp type, alignment …

Analysis and prediction of intersection traffic violations using automated enforcement system data

Y Li, M Li, J Yuan, J Lu, M Abdel-Aty - Accident Analysis & Prevention, 2021 - Elsevier
The automated enforcement system (AES) is an effective way of supplementing traditional
traffic enforcement, and the traffic violation data from AES can also be effectively used for …

A Novel Dynamic Lane‐Changing Trajectory Planning Model for Automated Vehicles Based on Reinforcement Learning

C Yu, A Ni, J Luo, J Wang, C Zhang… - Journal of advanced …, 2022 - Wiley Online Library
Lane changing behavior has a significant impact on traffic efficiency and may lead to traffic
delays or even accidents. It is important to plan a safe and efficient lane‐changing trajectory …