交通诱导智能终端及系统平台应用研究
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摘要
交通诱导作为城市交通智能管控链条的重要组成部分,利用动态感知信息对实际运行或潜在通行需求车辆进行提前告知与实时引导,可在时间与空间上促进网络交通流的总体均衡,提升城市路网通行效率。本文旨在研究交通诱导智能终端及基于云服务的多源诱导系统平台,构建诱导信息与交通流实时信息动态交互机制,拓宽交通信息采集方式与渠道,通过获取多源多维的海量交通数据,利用大数据处理技术分析路段交通运行状况,为交通管理平台提供实时的诱导决策信息,并利用多元信息动态交互机制实现交通运行效益的最大化。
As an important part of the intelligent control chain of urban traffic, traffic guidance uses dynamic sensing information to inform and guide the actual or potential traffic demand vehicles in advance and in real time.It can promote the overall equilibrium of network traffic flow in time and space, and improve the efficiency of urban road network. The purpose of this paper is to study the intelligent terminal of traffic guidance and the platform of multi-source guidance system based on cloud service, to construct the mechanism of real-time dynamic interaction between guidance information and traffic flow information, and to broaden the way and channel of traffic information collection. Through obtaining the massive traffic data from multiple sources and multiple dimensions, the big data processing technology is used to analyze the traffic operation condition of the road section, in order to provide the realtime guidance decision information for the traffic management platform. Moreover, the multiple information dynamic interaction mechanism is used to maximize the bene?ts of traffic operation.
As an important part of the intelligent control chain of urban traffic, traffic guidance uses dynamic sensing information to inform and guide the actual or potential traffic demand vehicles in advance and in real time.It can promote the overall equilibrium of network traffic flow in time and space, and improve the efficiency of urban road network. The purpose of this paper is to study the intelligent terminal of traffic guidance and the platform of multi-source guidance system based on cloud service, to construct the mechanism of real-time dynamic interaction between guidance information and traffic flow information, and to broaden the way and channel of traffic information collection. Through obtaining the massive traffic data from multiple sources and multiple dimensions, the big data processing technology is used to analyze the traffic operation condition of the road section, in order to provide the realtime guidance decision information for the traffic management platform. Moreover, the multiple information dynamic interaction mechanism is used to maximize the bene?ts of traffic operation.
引文
[1] Lu K, Hu J W, Huang J H, et al. Optimisation model for network progression coordinated control under the signal design mode of split phasing[J]. IET Intelligent Transport Systems, 2017, 11(8):459-466.
[2]胡建伟.面向乘客出行服务的交通信号控制模型与方法研究[D].广州:华南理工大学, 2017.
[3]王锴.交通诱导技术在城市拥堵治理上的应用[J].中国公共安全(学术版), 2017(11):220-223.
[4]于德新.车辆诱导系统理论模型和关键技术研究[D].吉林:吉林大学, 2006.
[5]魏赟,范炳全,韩印,等.交通诱导信息对路网中车辆行为的影响[J]. 2009, 9(6):114-126.
[6]周元峰.基于信息的驾驶员路径选择行为及动态诱导模型研究[D].北京:北京交通大学, 2007.
[7] Chiu Y C, Huynh N. Location con?guration design for dynamic message signs under stochastic incident and ATIS scenarios[J].Transportation Research Part C, 2007, 15(1):33-50.
[8]卢晓珊,黄海军,尚华艳.先进出行者信息系统环境下的可变信息板选址[J].北京航空航天大学学报,2012, 38(10):1352-1357.
[9]周智勇,陈峻,王炜.城市停车诱导信息系统发展研究综述[J].交通运输系统工程与信息, 2006, 6(2):27-30.
[2]胡建伟.面向乘客出行服务的交通信号控制模型与方法研究[D].广州:华南理工大学, 2017.
[3]王锴.交通诱导技术在城市拥堵治理上的应用[J].中国公共安全(学术版), 2017(11):220-223.
[4]于德新.车辆诱导系统理论模型和关键技术研究[D].吉林:吉林大学, 2006.
[5]魏赟,范炳全,韩印,等.交通诱导信息对路网中车辆行为的影响[J]. 2009, 9(6):114-126.
[6]周元峰.基于信息的驾驶员路径选择行为及动态诱导模型研究[D].北京:北京交通大学, 2007.
[7] Chiu Y C, Huynh N. Location con?guration design for dynamic message signs under stochastic incident and ATIS scenarios[J].Transportation Research Part C, 2007, 15(1):33-50.
[8]卢晓珊,黄海军,尚华艳.先进出行者信息系统环境下的可变信息板选址[J].北京航空航天大学学报,2012, 38(10):1352-1357.
[9]周智勇,陈峻,王炜.城市停车诱导信息系统发展研究综述[J].交通运输系统工程与信息, 2006, 6(2):27-30.