Study of Travel Time Prediction by Using Online ATIS and Probe Vehicle in Beijing

被引:0
|
作者
Song, Bingyue [1 ]
Wu, Jianping [1 ]
Du, Yiman [1 ]
机构
[1] Tsinghua Univ, Sch Civil Engn, Beijing 100084, Peoples R China
关键词
Travel time prediction; ATIS; Probe Vehicle; O-D Characteristic;
D O I
10.4028/www.scientific.net/AMM.253-255.1627
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
With the rapid development of urban traffic, travel time had become the crucial factor for road-user to make decisions on means of transportation, path finding. Besides, emerging information technology, such as Traffic information technology, GIS (Geographic Information System) technology and etc, that have promoted the tendency that people are inclining to plan personal travel through Dynamic Route Guidance System characterized as travel time prediction according to real-time traffic data. In this paper, it first proposed the factors of selecting the test O-D (original-destination), which travel time will be predicted by GoogleMap, BaiduMap, SogouMap and SOSOMap, for comparison, probe vehicle would run along the route provided by those online ATIS (advanced traveler information system) to check the accuracy of travel time predicted. Finally, it analyzes and assesses the service of travel time prediction of such systems.
引用
收藏
页码:1627 / 1630
页数:4
相关论文
共 50 条
  • [1] Exploring Travel Time Distribution and Variability Patterns Using Probe Vehicle Data: Case Study in Beijing
    Chen, Peng
    Tong, Rui
    Lu, Guangquan
    Wang, Yunpeng
    JOURNAL OF ADVANCED TRANSPORTATION, 2018,
  • [2] VEHICLE TRAVEL TIME ESTIMATION USING SEQUENCE PREDICTION
    Gunduz, Gultekin
    Acarman, Tankut
    PROMET-TRAFFIC & TRANSPORTATION, 2020, 32 (01): : 1 - 12
  • [3] Assessing Highway Travel Time Reliability using Probe Vehicle Data
    Olszewski, Piotr
    Dybicz, Tomasz
    Jamroz, Kazimierz
    Kustra, Wojciech
    Romanowska, Aleksandra
    TRANSPORTATION RESEARCH RECORD, 2018, 2672 (15) : 118 - 130
  • [4] Modeling travel time under ATIS using mixed linear models
    Abdalla, M
    Abdel-Aty, M
    TRANSPORTATION, 2006, 33 (01) : 63 - 82
  • [5] Modeling Travel Time Under ATIS Using Mixed Linear Models
    M. Fathy Abdalla
    Mohamed Abdel-Aty
    Transportation, 2006, 33 : 63 - 82
  • [6] Personalized Travel Time Prediction Using a Small Number of Probe Vehicles
    Li, Yang
    Gunopulos, Dimitrios
    Lu, Cewu
    Guibas, Leonidas J.
    ACM TRANSACTIONS ON SPATIAL ALGORITHMS AND SYSTEMS, 2019, 5 (01)
  • [7] Reliable corridor level travel time estimation using probe vehicle data
    Sakhare, Rahul
    Vanajakshi, Lelitha
    TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2020, 12 (08): : 570 - 579
  • [8] Link travel time estimation using single GPS equipped probe vehicle
    Li, YY
    McDonald, M
    IEEE 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, PROCEEDINGS, 2002, : 932 - 937
  • [9] Freeway Sensor Spacing and Probe Vehicle Penetration Impacts on Travel Time Prediction and Estimation Accuracy
    Feng, Wei
    Bigazzi, Alexander Y.
    Kothuri, Sirisha
    Bertini, Robert L.
    TRANSPORTATION RESEARCH RECORD, 2010, (2178) : 67 - 78
  • [10] Online Dynamic Travel Time Prediction using Speed and Flow Measurements
    Ojeda, Luis Leon
    Kibangou, Alain Y.
    de Wit, Carlos Canudas
    2013 EUROPEAN CONTROL CONFERENCE (ECC), 2013, : 4045 - 4050