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Non-lane-discipline-based car-following model considering the effect of visual angle

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Abstract

This study proposes a new car-following (CF) model considering the effect of visual angle under the non-lane-discipline environment. In particular, a car-following model is proposed to capture the impacts from the visual angle of the driver between the following vehicle and the preceding vehicle as well as its change rate on a road without lane discipline. Stability analysis of the proposed CF model is performed using the perturbation method to obtain the stability condition. Numerical experiments analyze three scenarios: start process, stop process, and evolution process for lane-discipline-based FVD model, non-lane-discipline-based CF model with lateral gap, and the proposed model, respectively. Results from numerical experiments illustrate that the proposed CF model that considers the effects of both lateral gap and visual angle has larger stable region compared with FVD model and the NLBCF model. Also, the responsiveness and smoothness of the proposed CF model is improved with respect to the velocity, and acceleration or deceleration profiles.

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Acknowledgments

This work is jointly supported by the National Natural Science Foundation of China under Grant 61304197, the Scientific and Technological Talents of Chongqing under Grant cstc2014kjrc-qnrc30002, the Key Project of Application and Development of Chongqing under Grant No. cstc2014yykfB40001, Wenfeng Talents of CQUPT, 151 Science and Technology Major Project of Chongqing-General Design and Innovative Capability of Full Information based Traffic Guidance and Control System under Grant No. cstc2013jcsfzdzxqqX0003, the Natural Science Funds of Chongqing under Grant No. cstc2014jcyjA60003, and the Doctoral Start-up Funds of CQUPT under Grant No. A2012-26.

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Authors and Affiliations

  1. Chongqing Collaborative Innovation Center for Information Communication Technology, College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

    Yongfu Li, Li Zhang, Taixiong Zheng, Huizong Feng & Yinguo Li

  2. NEXTRANS Center, Purdue University, West Lafayette, IN, 47906, USA

    Yongfu Li

  3. College of Automation, Northwestern Polytechnical University, Xi’an, 710072, China

    Bo Zhang

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  1. Yongfu Li
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  2. Li Zhang
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  6. Yinguo Li
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Correspondence to Yongfu Li.

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Li, Y., Zhang, L., Zhang, B. et al. Non-lane-discipline-based car-following model considering the effect of visual angle. Nonlinear Dyn 85, 1901–1912 (2016). https://doi.org/10.1007/s11071-016-2803-4

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