A Dynamic Travel Time Estimation Model Based on Connected Vehicles

被引:5
|
作者
Tian, Daxin [1 ,2 ,3 ]
Yuan, Yong [1 ]
Qi, Honggang [4 ]
Lu, Yingrong [1 ]
Wang, Yunpeng [1 ,2 ,3 ]
Xia, Haiying [5 ]
He, Anping [6 ]
机构
[1] Beihang Univ, Beijing Key Lab Cooperat Vehicle Infrastruct Syst, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China
[2] Jiangsu Prov Collaborat Innovat Ctr Modern Urban, Beijing 100191, Peoples R China
[3] Minist Publ Secur China, Key Lab Urban ITS Technol Optimizat & Integrat, Hefei 230088, Peoples R China
[4] Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China
[5] Minist Transport, Res Inst Highway, Beijing 100088, Peoples R China
[6] Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.1155/2015/903962
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With advances in connected vehicle technology, dynamic vehicle route guidance models gradually become indispensable equipment for drivers. Traditional route guidance models are designed to direct a vehicle along the shortest path from the origin to the destination without considering the dynamic traffic information. In this paper a dynamic travel time estimation model is presented which can collect and distribute traffic data based on the connected vehicles. To estimate the real-time travel time more accurately, a road link dynamic dividing algorithm is proposed. The efficiency of the model is confirmed by simulations, and the experiment results prove the effectiveness of the travel time estimation method.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] The Impact of Connected Vehicles on Freeway Travel Time
    Shams, Alireza
    Soltani, Ali
    Asadi, Niloofar
    Famili, Afshin
    [J]. INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2020 - TRAFFIC AND BIKE/PEDESTRIAN OPERATIONS, 2020, : 206 - 214
  • [2] Dynamic Traffic Flow Model for Travel Time Estimation
    Yi, Ting
    Williams, Billy M.
    [J]. TRANSPORTATION RESEARCH RECORD, 2015, (2526) : 70 - 78
  • [3] Internet of Vehicles Data-Oriented Arterial Travel Time Estimation Framework With Dynamic Multigraph Model
    Qiu, Tony Z.
    Xu, Mengyun
    Fang, Jie
    [J]. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2023, 15 (03) : 101 - 116
  • [4] Travel Time Minimization at Roundabouts for Connected and Automated Vehicles
    Pauca, Ovidiu
    Caruntu, Constantin E.
    [J]. 2020 25TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2020, : 905 - 910
  • [5] Travel time estimation model for emergency vehicles under preemption control
    Wang, Jiawen
    Yun, Meiping
    Ma, Wanjing
    Yang, Xiaoguang
    [J]. INTELLIGENT AND INTEGRATED SUSTAINABLE MULTIMODAL TRANSPORTATION SYSTEMS PROCEEDINGS FROM THE 13TH COTA INTERNATIONAL CONFERENCE OF TRANSPORTATION PROFESSIONALS (CICTP2013), 2013, 96 : 2147 - 2158
  • [6] DYNAMIC STOCHASTIC TRAVEL TIME ESTIMATION: THE STOCHASTIC CELL TRANSMISSION MODEL BASED APPROACH
    Pan, Tianlu
    Sumalee, Agachai
    [J]. TRANSPORTATION AND GEOGRAPHY, VOL 1, 2009, : 347 - 356
  • [7] Travel Time of Public Transport Vehicles Estimation
    Birr, Krystian
    Jamroz, Kazimierz
    Kustra, Wojciech
    [J]. 17TH MEETING OF THE EURO WORKING GROUP ON TRANSPORTATION, EWGT2014, 2014, 3 : 359 - 365
  • [8] Dynamic Path Planning of Emergency Vehicles Based on Travel Time Prediction
    Zhao, Jiandong
    Guo, Yujie
    Duan, Xiaohong
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2017,
  • [9] Travel Time Estimation Model Based on Markov Queuing Model
    Wang, Zhijian
    Hou, Zhengying
    Liu, Haoran
    [J]. PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND ENVIRONMENT ENGINEERING (ICSEEE 2016), 2016, 63 : 232 - 240
  • [10] Travel Time Reliability Affected by Accident in Freeway with Connected Vehicles
    Lei, Fangshu
    Wang, Yunpeng
    Lu, Guangquan
    Tian, Daxin
    [J]. 2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2014, : 51 - 56