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原文传递 Evaluating performance of selected vehicle following models using trajectory data under mixed traffic conditions

题名：	Evaluating performance of selected vehicle following models using trajectory data under mixed traffic conditions
正文语种：	英文
作者：	Narayana Raju;Shriniwas Arkatkar;Gaurang Joshi
作者单位：	National Institute of Technology
关键词：	calibration; car following models; heterogeneous traffic; hysteresis; leader-follower pairs; simulation; trajectory
摘要：	This research work is focused on modeling vehicle following behavior under mixed traffic conditions. Vehicle-following behavior can be potentially utilized in building real-time drivers7 assistanee systems or identifying collision escaping time thresholds for varying roadway and traffic conditions. For this purpose, initially, vehicular trajectory data was developed over the road sections in India. Thereafter, based on hysteresis phenomenon among the vehicles, vehicles in the following conditions are identified. Further to model the following the behavior of vehicles, selected car-following models, such as Wiedemann-74, Wiedemann-99, Gipps, Bando and Intelligent Driver Model (IDM) are calibrated for followers (subject vehicle) from each vehicle category. The modelzs validity is tested by comparing the observed position and modeled position of the follower under varying conditions. Subsequently, to test the car-following model's efficacy in replicating the following behavior, simulation runs were performed using VISSIM 9.〇. For this purpose, the car following models (other than Wiedemann models) were coded in VISSIM using external driving behavior program. The models were then tested using calibrated vehicle-dependent followinq-behavior parameters. Based on the simulation runs, the comparison was made with derived traffic parameters for macroscopic validation. For better understanding hysteresis plots were also compared for different vehicle-following models, using simulated trajectory data. Further, simulated hysteresis for different vehicle types was compared with related plots made using actual trajectory data. It was well-established that psychophysical models (Wiedemann), multi-regime (Gipps), and IDM car-following models resemble Indian traffic behavior reason-ably well, whereas single-regime car-following model, optimal velocity model fails in replicating the actual following-behavior.
出版日期：	2020
出版年：	2020
期刊名称：	Journal of Intelligent Transportation Systems Technology Planning and Operations
卷：	Vol24
期：	No01-06
页码：	617-634