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原文传递 A Car-Following Model Considering Driver's Instantaneous Reaction Delay in Nonlane-Based Traffic Environments

题名：	A Car-Following Model Considering Driver's Instantaneous Reaction Delay in Nonlane-Based Traffic Environments
正文语种：	eng
作者：	Sanhita Das;Akhilesh Kumar Maurya
作者单位：	Dept. of Civil Engineering Indian Institute of Technology Roorkee Roorkee 247667 India;Dept. of Civil Engineering Indian Institute of Technology Guwahati Guwahati 781039 India
摘要：	Reaction delay is an indispensable factor in the operation and control process of drivers in a car-following scenario. Utilizing trajectory data obtained from an instrumented vehicle, this paper proposes a data-driven neural network car-following model incorporating instantaneous reaction delay of the drivers in nonlane-based (or disorderly) traffic systems. Considering instantaneous reaction delay as the time interval between relative speed and acceleration, a model is developed where the lateral descriptor of vehicle interaction (or centerline separation, CS) is found as a significant factor in modeling reaction delays in such disordered systems. Interestingly, reaction delays were found to increase with lateral separation between the interacting vehicles. Modeling results further indicate that the car-following model with instantaneous reaction delay outperformed the model with fixed reaction delay. In addition, the proposed model also showed better performance in terms of trajectory reproducing accuracy when compared with the classic car-following models. The results of this work justify the importance of considering CS in the development of algorithms for future autonomous traffic of disorderly traffic environments.
出版年：	2022
期刊名称：	Journal of Transportation Engineering
卷：	148
期：	8
页码：	04022051.1-04022051.13