An event-driven based vehicle-to-roadside data interaction scheme for traffic control purpose
详细信息 查看官网全文
- 英文论文题名：An event-driven based vehicle-to-roadside data interaction scheme for traffic control purpose
- 论文作者：Liu Haiqing ; Musangang ; Han Feng ; Wang Zhiming
- 英文论文作者：Liu Haiqing ; Musangang ; Han Feng ; Wang Zhiming ; Postdoctoral Research Station of Hisense Group ; Hisense Trans Tech Co. ; Ltd.
- 年：2016
- 作者机构：Postdoctoral Research Station of Hisense Group;Hisense Trans Tech Co.,Ltd.;
- 英文论文关键词：Cooperative Vehicle Infrastructure System ; Vehicle-to-Roadside Communication ; Event Driven ; Vehicle Status Information Collection ; Traffic Control
- 会议召开时间：2016-11-16
- 会议录名称：第十一届中国智能交通年会大会论文集
- 语种：英文
- 分类号：U495
- 学会代码：ZJTX
- 会议名称：第十一届中国智能交通年会
- 会议地点：中国重庆
- 主办单位：中国智能交通协会
- 学会名称：中国智能交通协会
- 页数：10
- 文件大小：2039k
- 原文格式：D
- 会议级别：全国
摘要
Frequent exchanging messages between vehicles and the roadside unit(RSU) will cause large data redundancy and a waste of communication resources in the traffic information system based on vehicle-to-roadside communication network.In order to solve this problem,this paper proposes an event-driven based vehicle-to-roadside data interaction scheme for traffic control purpose.The road traffic congestion index is calculated based on the vehicle driving status collected by vehicle-to-roadside communication.Further,according to different traffic application requirements of signal control and the variation of the congestion index,four different congestion events and the associated data interaction models are presented.When certain congestion event happens,vehicles dynamically adjust the data transmitting frequency to the RSU based on the interaction model.Simulation results show that,vehicles generate less data packets compared with the time-driven scheme under certain conditions.
Frequent exchanging messages between vehicles and the roadside unit(RSU) will cause large data redundancy and a waste of communication resources in the traffic information system based on vehicle-to-roadside communication network.In order to solve this problem,this paper proposes an event-driven based vehicle-to-roadside data interaction scheme for traffic control purpose.The road traffic congestion index is calculated based on the vehicle driving status collected by vehicle-to-roadside communication.Further,according to different traffic application requirements of signal control and the variation of the congestion index,four different congestion events and the associated data interaction models are presented.When certain congestion event happens,vehicles dynamically adjust the data transmitting frequency to the RSU based on the interaction model.Simulation results show that,vehicles generate less data packets compared with the time-driven scheme under certain conditions.
Frequent exchanging messages between vehicles and the roadside unit(RSU) will cause large data redundancy and a waste of communication resources in the traffic information system based on vehicle-to-roadside communication network.In order to solve this problem,this paper proposes an event-driven based vehicle-to-roadside data interaction scheme for traffic control purpose.The road traffic congestion index is calculated based on the vehicle driving status collected by vehicle-to-roadside communication.Further,according to different traffic application requirements of signal control and the variation of the congestion index,four different congestion events and the associated data interaction models are presented.When certain congestion event happens,vehicles dynamically adjust the data transmitting frequency to the RSU based on the interaction model.Simulation results show that,vehicles generate less data packets compared with the time-driven scheme under certain conditions.
引文
[1]H.Q.Liu,L.C.Yang,L.Wu,et al,Regional traffic congestion evaluation based on Fuzzy-PCA[J],Journal of Shandong University(Engineering Science),Vol.42,No.6,pp.56-62,2012.
[2]S.Pechberti,D.Gruyer,D.Gingras,et al,Design of a modular demonstrator for safety application systems:The CVISproject[C].IEEE Intelligent Vehicles Symposium,San Diego,USA,pp.1146-1151,2010.
[3]J.Yao,X.G.Yang,Urban traffic control under the environment of vehicle infrastructure integration[J].Journal of University of Shanghai for Science and Technology,Vol.35,No.4,pp.397-403,2013.
[4]X.H.Lin,Traffic signal control method and simulation based on traffic density in cooperative vehicle infrastructure system[J].Industrial Engineering Journal,Vol.4,pp.123-128,2014.
[5]Q.Wang,J.M.Hu,Y.Z.Wang,et al,Method of collecting traffic information based on inter2vehicle communication[J].Journal of Jilin University(Engineering and Technology Edition),Vol.39,No.2,pp.7-12,2009.
[6]B.C.Zhang,B.Ran,Z.H.Mei,et al,An optimization method of traffic signal control based on cooperative vehicle infrastructure system[J].Journal of Transportation System Engineering and Information Technology,Vol.13,No.3,pp.40-45,2013.
[7]X.Y.Bai,X.M.Ye,H.Jiang,et al,A novel traffic information system for VANET based on location service[C].IEEEInternational Conference on Networks,New Delhi,India,pp.1-6,2008.
[8]Y.Zhuang,S.Chiba,Enabling the automation of handler bindings in event-driven programming[C].Computer Software&Applications Conference,Taichung,Taiwan,pp.137-146,2015.
[9]J.Minguez,S.Zor,P.Reimann,Event-driven business process management in engineer-to-order supply chains[C].International Conference on Computer Supported Cooperative Work in Design,Lausanne,Switzerland,pp.624-631,2011.
[10]Z.Zhong,D.Y.Luo,X.P.Fan,et al,Data Gathering Protocol in Wireless Sensor Networks Based on Event-driven[J].Computer Engineering,Vol.38,No.11,pp.69-72,2012.
[11]X.Hou,D.W.Zhang,M.Zhong,Data Aggregation of Wireless Sensor Network Based on Event-Driven and Neural Network[J].Chinese Journal of Sensors and Actuators,Vol.1,pp.142-148,2014.
[12]J.B.Liang,Y.R.Deng,L.J.Guo,et al,Research progresses of event-driven data gathering in WSN[J].Application Research of Computers,Vol.29,No.10,pp.3601-3605,2012.
[13]F.Terroso-Saenz,M.Valdes-Vela,C.Sotomayor-Martinez,et al,A cooperative approach to traffic congestion detection with complex event processing and VANET[J].IEEE Transactions on Intelligent Transportation Systems,Vol.13,No.2,pp.914-929,2012.
[2]S.Pechberti,D.Gruyer,D.Gingras,et al,Design of a modular demonstrator for safety application systems:The CVISproject[C].IEEE Intelligent Vehicles Symposium,San Diego,USA,pp.1146-1151,2010.
[3]J.Yao,X.G.Yang,Urban traffic control under the environment of vehicle infrastructure integration[J].Journal of University of Shanghai for Science and Technology,Vol.35,No.4,pp.397-403,2013.
[4]X.H.Lin,Traffic signal control method and simulation based on traffic density in cooperative vehicle infrastructure system[J].Industrial Engineering Journal,Vol.4,pp.123-128,2014.
[5]Q.Wang,J.M.Hu,Y.Z.Wang,et al,Method of collecting traffic information based on inter2vehicle communication[J].Journal of Jilin University(Engineering and Technology Edition),Vol.39,No.2,pp.7-12,2009.
[6]B.C.Zhang,B.Ran,Z.H.Mei,et al,An optimization method of traffic signal control based on cooperative vehicle infrastructure system[J].Journal of Transportation System Engineering and Information Technology,Vol.13,No.3,pp.40-45,2013.
[7]X.Y.Bai,X.M.Ye,H.Jiang,et al,A novel traffic information system for VANET based on location service[C].IEEEInternational Conference on Networks,New Delhi,India,pp.1-6,2008.
[8]Y.Zhuang,S.Chiba,Enabling the automation of handler bindings in event-driven programming[C].Computer Software&Applications Conference,Taichung,Taiwan,pp.137-146,2015.
[9]J.Minguez,S.Zor,P.Reimann,Event-driven business process management in engineer-to-order supply chains[C].International Conference on Computer Supported Cooperative Work in Design,Lausanne,Switzerland,pp.624-631,2011.
[10]Z.Zhong,D.Y.Luo,X.P.Fan,et al,Data Gathering Protocol in Wireless Sensor Networks Based on Event-driven[J].Computer Engineering,Vol.38,No.11,pp.69-72,2012.
[11]X.Hou,D.W.Zhang,M.Zhong,Data Aggregation of Wireless Sensor Network Based on Event-Driven and Neural Network[J].Chinese Journal of Sensors and Actuators,Vol.1,pp.142-148,2014.
[12]J.B.Liang,Y.R.Deng,L.J.Guo,et al,Research progresses of event-driven data gathering in WSN[J].Application Research of Computers,Vol.29,No.10,pp.3601-3605,2012.
[13]F.Terroso-Saenz,M.Valdes-Vela,C.Sotomayor-Martinez,et al,A cooperative approach to traffic congestion detection with complex event processing and VANET[J].IEEE Transactions on Intelligent Transportation Systems,Vol.13,No.2,pp.914-929,2012.