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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21716

Title: A Simplified Car-Following Model Based on the Artificial Potential Field
Authors: Li, Chenggang
Jiang, Xiaobei
Wang, Wuhong
Cheng, Qian
Shen, Yongjun
Issue Date: 2016
Publisher: Elsevier Science B.V.
Citation: Procedia Engineering, p. 13-20
Series/Report: Procedia Engineering
Series/Report no.: 137
Abstract: Car-following models, which describe the interaction between successive vehicles in the same lane, have been studied for decades. A group of models are derived from the stimulus-response pattern concentrating on the effect of diverse stimulus type. This study presents a potential-based car-following model using the concept of the artificial potential field, which aims for the precise and fast interactive operations in an evolving environment. Spacing headway is divided into two parts according to the potential influence region. The variation rate of the spacing headway generates the control force within the potential influence region, while the difference of desired and current velocity takes control out of the influence range. Calibration and validation of the simplified model are conducted using NGSIM data. Statistical tests show that the proposed model can reproduce the car following process very well. (C) 2016 The Authors. Published by Elsevier Ltd.
Notes: [Li, Chenggang; Jiang, Xiaobei; Wang, Wuhong; Cheng, Qian] Beijing Inst Technol, Dept Transportat Engn, Beijing 100081, Peoples R China. [Shen, Yongjun] Univ Hasselt, Sch Transportat Sci, BE-3590 Hasselt, Belgium.
URI: http://hdl.handle.net/1942/21716
DOI: 10.1016/j.proeng.2016.01.229
ISI #: 000370820100003
ISSN: 1877-7058
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2017
Appears in Collections: Research publications

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