Non-lane-based Heterogeneous Traffic Flow Research Based on Social Force Model

Abstract

Abstract:

Considering currently the lack of the research on the non-lane-based traffic flow characteristics, and the heterogeneity between different types of vehicles is also not considered, so this paper proposes a new model based on the social force model for the non-lane- based heterogeneous traffic flow. The model is calibrated and validated by using the simulation software Matlab by establishing the simulation platform. This paper conducts the analysis of the model characteristic, road conditions and the proportion of the large vehicle. The results show that the proposed model could effectively simulate the characteristics of heterogeneous traffic flow with no lane division. When there is no lane division, the road capacity and average speed decreased with the decrease of road width. When the road width is less than 7 m, the traffic capacity would decrease sharply. When traffic density is relatively low, the increase of large vehicle proportion had little effect on road capacity and average speed, and when the traffic density is relatively high, the increase of large vehicle proportion would reduce the capacity of traffic volume, but the traffic flow would become more stable.

Key words: highway transportation, non-lane-based, social force, genetic algorithms, traffic flow

摘要：

考虑当前针对无车道划分时的交通流特性研究较少，而且没有考虑车辆类型的异质性，因此本文基于社会力模型提出了一个无车道划分异质交通流模型.利用仿真软件Matlab搭建仿真平台，分析所建立模型的特性，以及道路条件、大车比例对交通流的影响.结果表明，本文所建立的交通流模型能有效地模拟无车道划分情况下的异质交通流特征.在无车道划分时，道路通行能力和平均速度会随着道路宽度减小而减小，当道路宽度小于7m时，通行能力会急剧下降.当交通流密度比较低时，增加大车比例对道路通行能力和平均速度影响很小；当交通流密度比较高时，大车比例的增加会降低道路通行能力，但交通流会变得更加稳定.

关键词: 公路运输, 无车道划分, 社会力, 遗传算法, 交通流

CLC Number:

U491.2

YANG Da, SU Gang, WU Dan-hong. Non-lane-based Heterogeneous Traffic Flow Research Based on Social Force Model[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(3): 94-100.

杨达，苏刚，吴丹红. 基于社会力模型的无车道划分异质交通流研究[J]. 交通运输系统工程与信息, 2018, 18(3): 94-100.

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URL: http://www.tseit.org.cn/EN/abstract/abstract19631.shtml

http://www.tseit.org.cn/EN/Y2018/V18/I3/94

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