计算机应用 ›› 2016, Vol. 36 ›› Issue (8): 2181-2186.DOI: 10.11772/j.issn.1001-9081.2016.08.2181

• 网络与通信 • 上一篇    下一篇

车联网环境下的公交自适应优先方法

王永胜, 谭国真, 刘明剑, 丁男   

  1. 大连理工大学 计算机科学与技术学院, 辽宁 大连 116024
  • 收稿日期:2016-01-19 修回日期:2016-03-14 出版日期:2016-08-10 发布日期:2016-08-10
  • 通讯作者: 王永胜
  • 作者简介:王永胜(1989-),男,云南宣威人,硕士研究生,主要研究方向:车联网、智能交通;谭国真(1965-),男,辽宁鞍山人,教授,博士生导师,博士,主要研究方向:车联网、智能交通;刘明剑(1984-),男,辽宁大连人,博士研究生,主要研究方向:车联网安全预警;丁男(1978-),男,辽宁沈阳人,副教授,博士,主要研究方向:移动网络通信。
  • 基金资助:
    国家863计划项目(2012AA111902);国家自然科学基金资助项目(61471084)。

Adaptive priority method of public bus under Internet of vehicles

WANG Yongsheng, TAN Guozhen, LIU Mingjian, DING Nan   

  1. School of Computer Science and Technology, Dalian University of Technology, Dalian Liaoning 116024, China
  • Received:2016-01-19 Revised:2016-03-14 Online:2016-08-10 Published:2016-08-10
  • Supported by:
    This work is partially supported by the National High Technology Research and Development Program (863 Program) of China (2012AA111902), the National Natural Science Foundation of China (61471084).

摘要: 针对现有公交优先系统中存在的反应滞后、不能够充分挖掘道路通行能力的问题,在车联网的背景下提出一个公交自适应优先(ABP)模型。首先,借助车联网强大的通信能力,利用时分复用的思想,设计了道路复用的控制规则,为普通公交虚拟出了一条专用道,实现了“空间优先”;其次,使用实时获取的车辆到达数据取代历史数据作为交通需求,解决滞后的问题;最后,设计了公交优先的信号控制方法,通过插入短相位的方法让公交优先通行,实现了公交优先。使用VISSIM软件设计仿真实验对比ABP模型和传统模型,结果表明,ABP模型在不对社会车辆造成很大影响的前提下,能够提高公交的运行效率和路口的通过能力。

关键词: 车联网, 公交优先, 快速公交, 车道时分复用, 实时优化

Abstract: Focusing on the problems in bus priority systems, like hysteresis, being not able to fully exploit road capacity, an Adaptive Bus Priority (ABP) model based on the Internet of Vehicles (IOV) was proposed. First, with powerful communication capability of IOV, using time division multiplexing idea, road multiplexed control rules for ordinary bus was designed, and the "space priority" was achieved by setting a virtual bus lane. Secondly, real-time data acquisition of arrival vehicle was used to replace the historical data to solve the problem of hysteresis. Finally, the bus priority signal control model was designed, and bus priority was realized by inserting short phases to make public transit priority. VISSIM software was used to design simulation experiment to compare the ABP model and the traditional model. Simulation results indicate that the ABP model can improve the operation efficiency of bus and intersection pass capacity without causing great impact to social vehicles.

Key words: Internet of Vehicles(IOV), bus priority, Bus Rapid Transit(BRT), time division multiplexing of lane, real-time optimization

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