Hazard-based duration modelling of merging time interval on freeway on-ramps

Author:

Li Ye1,Zhu Jichen12,Haque Md Mazharul3,Lee Jaeyoung1ORCID

Affiliation:

1. School of Traffic and Transportation Engineering, Central South University , Changsha 410075, Hunan, China

2. Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University , Shanghai 201804, China

3. School of Civil and Environmental Engineering, Queensland University of Technology , Brisbane, QLD 4001, Australia

Abstract

Abstract Freeway on-ramps suffer high crash risks due to frequent merging behaviours. This study developed hazard-based duration models to investigate the merging time interval on freeway on-ramps based on microscopic trajectory data. Fixed effect, random effect and random parameters Weibull distributed accelerated failure time models were developed to capture merging time as a function of various dynamic variables. The random parameters model was found to outperform the two counterparts since the unobserved heterogeneity of individual drivers was captured. Modelling estimation results indicate that drivers along the merging section with an auxiliary lane perform a smooth merging process and are easily affected by speed variables. Dynamics of leading and following vehicles on the merging and target lanes are found to influence the merging time interval for merging without an auxiliary lane, whereas the influence of surrounding vehicles is marginal for those with an auxiliary lane. The findings of this study identify potential countermeasures for improving safety during the merging process.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Innovation-Driven Project of Central South University

Publisher

Oxford University Press (OUP)

Subject

Engineering (miscellaneous),Safety, Risk, Reliability and Quality,Control and Systems Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hazards-Based Duration Time Model with Priorities Considering Unobserved Heterogeneity Using Real-Time Traffic and Weather Big Data;Transportation Research Record: Journal of the Transportation Research Board;2024-07-27

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