Technical gazette, Vol. 24 No. 6, 2017.
Original scientific paper
https://doi.org/10.17559/TV-20170317215248
An extended car-following model considering the influence of bus
Jinxing Shen
; College of Civil and Transportation Engineering, Hohai University, Xi Kang Road 1#, Nanjing, 210098, China
Feng Qiu
orcid.org/0000-0002-3012-3672
; Department of Computer Science, University of Victoria, 3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada
Rui Li
; College of Civil and Transportation Engineering, Hohai University, Xi Kang Road 1#, Nanjing, 210098, China
Changjiang Zheng
; College of Civil and Transportation Engineering, Hohai University, Xi Kang Road 1#, Nanjing, 210098, China
Abstract
In order to describe car-following behaviour of traffic flow which is composed of buses and passenger cars on freeway, an extended car-following model is proposed for single lane traffic in this paper. The proposed model discriminates four types of car-bus following combination, car-following-bus, bus-following-bus, bus-following-car and car-following-car. The four combinations are considered in terms of following distance, following speed and following acceleration/deceleration. The proposed methodology is demonstrated using data collected from the combination of microwave radar detector and roadside laser detector on Xuanwu Avenue in the main urban area of Nanjing. Besides, the field data is divided into two data sets, one used for the training of the model, and the other for evaluation purpose. Gazis model and Edie model, the two most extensively used car-following models, are calibrated against the same training data sets and used as a reference benchmark. Finally, the performance of the model, proposed by this paper, was compared with the two classic models based on the evaluation data sets. The results show that buses have different characteristics and manoeuvrability compared with passenger cars. With the influence of buses in the car-following process, it could lead to uneven distribution of traffic flow on the lanes and become the main reason for traffic highway capacity decline. The model, proposed in this paper, is more accurate and stable when predicting acceleration/deceleration of different vehicles during car-following. It has better superiority to describe the car-following behaviours under the influence of bus on freeway.
Keywords
bus; car-following model; model calibration; stimulus-response process; traffic flow
Hrčak ID:
190170
URI
Publication date:
3.12.2017.
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