A proactive crash risk prediction framework for lane-changing behavior incorporating individual driving styles

Y Zhang, Y Chen, X Gu, NN Sze, J Huang - Accident Analysis & Prevention, 2023 - Elsevier
Driving style may have an important effect on traffic safety. Proactive crash risk prediction for
lane-changing behaviors incorporating individual driving styles can help drivers make safe …

A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns

Q Shangguan, T Fu, J Wang, L Fu - Accident Analysis & Prevention, 2022 - Elsevier
Proactive lane-changing (LC) risk prediction can assist driver's LC decision-making to
ensure driving safety. However, most previous studies on LC risk prediction did not consider …

BIM-based solution to enhance the performance of public-private partnership construction projects using copula bayesian network

S Ghorbany, E Noorzai, S Yousefi - Expert Systems with Applications, 2023 - Elsevier
Public-private partnerships (PPPs) are efficient methods for constructing infrastructures that
create many opportunities, specifically in financial crises. However, the cost/time overruns …

Velocity control in car-following behavior with autonomous vehicles using reinforcement learning

Z Wang, H Huang, J Tang, X Meng, L Hu - Accident Analysis & Prevention, 2022 - Elsevier
Car-following behavior is a common driving behavior. It is necessary to consider the
following vehicle in the car-following model of autonomous vehicle (AV) under the …

Application of copula-based Bayesian network method to water leakage risk analysis in cross river tunnel of Wuhan Rail Transit Line 3

L Wang, H Chen, Y Liu, H Li, W Zhang - Advanced Engineering Informatics, 2023 - Elsevier
Water leakage typically infiltrates through bolt holes and segment joints, posing a threat to
the stability of tunnel structures. In this paper, we develop a copula-based Bayesian network …

[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 …

A co-evolutionary lane-changing trajectory planning method for automated vehicles based on the instantaneous risk identification

J Wu, X Chen, Y Bie, W Zhou - Accident Analysis & Prevention, 2023 - Elsevier
Lane-changing trajectory planning (LTP) is an effective concept to control automated
vehicles (AVs) in mixed traffic, which can reduce traffic conflicts and improve overall traffic …

Unraveling Financial Interconnections: A Methodical Investigation into the Application of Copula Theory in Modeling Asset Dependence

H Xu, J Chen, H Lin, P Yu - European Academic Journal-II …, 2024 - eaj.ebujournals.lu
Copula theory, a branch of statistics and probability theory, focuses on characterizing and
modeling the dependency structures between random variables. Within finance, copulas …

Comprehensive driver behaviour review: Taxonomy, issues and challenges, motivations and research direction towards achieving a smart transportation environment

RA Zaidan, AH Alamoodi, BB Zaidan, AA Zaidan… - … Applications of Artificial …, 2022 - Elsevier
The aim of this article is to review and analyse previous academic articles associated with
car behaviour analysis for the period of 2010 to June 10, 2021 and understand the benefits …

Optimized structure learning of Bayesian Network for investigating causation of vehicles' on-road crashes

T Chen, YD Wong, X Shi, X Wang - Reliability Engineering & System Safety, 2022 - Elsevier
A vehicle's crash can be seen as a failure of microscopic road transportation system. The
causal investigation of vehicles' crashes has drawn much attention from academia and …