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基于动态公交专用道和信号优先协同控制的城市公交网络研究

项目来源

国家自然科学基金(NSFC)

项目主持人

王涛

项目受资助机构

青岛科技大学

项目编号

71571109

立项年度

2015

立项时间

未公开

研究期限

未知 / 未知

项目级别

国家级

受资助金额

48.70万元

学科

管理科学-管理科学与工程-运筹与管理

学科代码

G-G01-G0102

基金类别

面上项目

关键词

网络交通流 ; 公交信号优先 ; 协同控制 ; 公交专用道动态优先 ; network traffic flow ; bus lanes with intermittent priority ; transit signal priority ; cooperative control

参与者

张晶；张瑞坤；黄翼虎；单宝明；崔凤英；陈杰；梁家栋；杜宗杰

参与机构

青岛科技大学

项目标书摘要：优先发展公共交通体现了以人为本的交通原则，是缓解城市交通拥堵、改善城市人居环境、维持城市可持续发展的重要举措。公交专用道能够为公交车提供道路优先权，保证公交运行畅通。然而，传统的公交专用道占用过多的道路资源，降低了道路通行能力，只适用于公交流量非常大的情况。公交专用道动态优先(BLIP)在公交专用道和混合交通下的公交运营之间提出了一种折衷方案。BLIP可以从空间上消除公交车在交叉口或公交站处的排队延误，而公交信号优先(TSP)则从时间上避免公交车在信号交叉口红灯时产生停车延误。本项目拟在道路交通流理论基础上，把BLIP和TSP协同优先理念引入到交通流模型中，建立新的公交网络交通流模型，用以描述车辆在网络上的运动规律。同时，借助车辆自动定位(AVL)系统，给公交车不同的优先水平，对公交车流在时空上进行诱导与优化，使公交优先成网，为公交系统快速、高效、可靠运营提供保障。

Application Abstract: Bus priority,the core of human-oriented green transportation system,is the efficient procedure to alleviate urban traffic congestion and promote the sustainable development of city.Dedicated bus lanes provide excellent right-of-way to transit vehicles.However,the reduction in private vehicle capacity of a traditional bus lane can only be justified along roadways with very frequent bus service.Bus Lanes with Intermittent Priority(BLIP)provide a compromise between dedicated bus lanes and buses operating in mixed traffic lanes.BLIP can eliminite the delay caused by vehicle queue in bus stop or intersection in space.Transit signal priority(TSP)tries to reduce or eliminates the signal stop delay caused by the red signal.All delay due to signal on bus route will be eliminated if there is a synergy between TSP and BLIP.Based on the road traffic flow theory and the analysis of traffic investigations,the bus network traffic model is constructed by pairing TSP and BLIP.Based on this model,with the help of automatic vihicle location(AVL)system,the bus flow is guided in the space-time for given different levels to buses in the road network.Bus priority is extended to the whole road network,which can make buses to provide fast,frequent,and reliable services.

项目受资助省

山东省

项目结题报告(全文)

车联网技术是实现公交动态专用道与信号协同优先的基础。本项目首先在车联网技术下应用道路交通流理论，分别从微观角度与宏观角度构建智能交通流模型，通过线性稳定性理论与非线性方法解析分析交通流密度波，研究道路交通流交通阻塞的动态演化过程，发现车联网环境下交通系统的内在演化机理；考虑到车联网环境通讯可靠性问题，项目通过解析分析与数值模拟，研究了车联网环境下信息可靠性对智能交通系统性能的影响；基于上述研究，该项目设计了随机型与确定型匝道系统，结合所构建的宏观交通流模型深入研究入匝道与组合匝道附近的交通演化状态；利用中观交通流模型模拟路网中的车辆运动，并利用动态OD估计技术动态预测交通网络实时情况，生成网络动态诱导信息，提出用复杂网络理论研究最优信号及其拓扑网络的时空演化规律；采集了公交站点及交叉口处的实测交通数据做了相应的数据分析，提出了新的交叉口道路渠化方案，以实现道路交叉口处时空公交优先方案；根据实测数据及现场观测，提出能够准确预测公交站点停留时间的仿真模型，并给出公交站点处停留时间的分布规律函数。

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  • 1.Analysis of the Effect of Berths on Passenger Boarding Time Using Cellular Automaton Model

    • 《第32届中国控制与决策会议》
    • 2020-08-23
    • 中国安徽合肥
    • 会议

    Enhancing the capacity of bus station is one of the effective methods to improve the service quality of urban bus system.The current research argued that bus dwell time is mainly dominated by the number of passengers,vehicle types and charging methods.However,the design of the number of berths at bus station is crucial to their service level.The unreasonable design of berths will cause a sharp increase in bus service time.Based on the cellular automata theory,this paper simulates the passenger walking on the platform from the micro perspective,and explores the influence of berth number on passenger boarding time.In addition,an intelligent guidance optimal strategy is proposed for bus station according to the actual situation.Numerical simulation results show that the method can effectively improve the service level of bus station.

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  • 2.Modeling and Simulation the Influence of Passengers Distribution in the Bus on Boarding Time

    • 《第32届中国控制与决策会议》
    • 2020-08-23
    • 中国安徽合肥
    • 会议

    Scholars from various countries have done a lot of research on predicting the dwell time of buses at stations,however,the passenger boarding time is hard to accurately predicted.Through field investigation,we found that passenger boarding time is not only influenced by external facilities,but also closely related to the number and distribution of passengers on the bus.Therefore,this article analyzes the passenger distribution law in the bus,and finds out the impact of passenger distribution in different areas of the bus on passenger boarding time through theoretical analysis.Secondly,we establish a cellular automata evolution model,which selects attraction and competitiveness as the driving force of passengers based on their motion characteristics.The simulation results prove that the model can exhibit the actual passenger distribution and movement preferences in the bus,and actually predict the boarding time of passengers in different scenarios.

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