Assessing Highway Travel Time Reliability using Probe Vehicle Data

被引:8
|
作者
Olszewski, Piotr [1 ]
Dybicz, Tomasz [1 ]
Jamroz, Kazimierz [2 ]
Kustra, Wojciech [2 ]
Romanowska, Aleksandra [2 ]
机构
[1] Warsaw Univ Technol, Civil Engn, Warsaw, Poland
[2] Gdansk Univ Technol, Civil & Environm Engn, Gdansk, Poland
关键词
D O I
10.1177/0361198118796716
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Probe vehicle data (also known as "floating car data") can be used to analyze travel time reliability of an existing road corridor in order to determine where, when, and how often traffic congestion occurs at particular road segments. The aim of the study is to find the best reliability performance measures for assessing congestion frequency and severity based on probe data. Pilot surveys conducted on A2 motorway in Poland confirm the usefulness and reasonable accuracy of probe data for measuring speed variation in both congested and free-flowing traffic. Historical probe vehicle data and traditional traffic counts from Polish S6 expressway were used to analyze travel time reliability on its 24 road sections. Travel time indexes and reliability ratings for the whole year 2016 were calculated to identify segments with lower reliability and higher expected delay. It is concluded that unlike the HCM-6 method, travel times obtained from probe data should be averaged in 1-hour intervals. Delay index is proposed as a new reliability indicator for road segments. Delay map diagrams are recommended for showing how the congestion spots move in space and with time of day.
引用
收藏
页码:118 / 130
页数:13
相关论文
共 50 条
  • [41] Using Empirical Data to Find the Best Measure of Travel Time Reliability
    Alemazkoor, Negin
    Burris, Mark W.
    Danda, Santosh Rao
    TRANSPORTATION RESEARCH RECORD, 2015, (2530) : 93 - 100
  • [42] A methodology for forecasting freeway travel time reliability using GPS data
    Wang, Zun
    Goodchild, Anne
    McCormack, Edward
    WORLD CONFERENCE ON TRANSPORT RESEARCH - WCTR 2016, 2017, 25 : 842 - 852
  • [43] Using vehicle data as a surrogate for highway accident data
    Park, Seongmin
    Son, Seung-oh
    Park, Juneyoung
    Oh, Cheol
    Hong, Sungmin
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-MUNICIPAL ENGINEER, 2021, 174 (02) : 67 - 74
  • [44] Traffic at urban intersections:: Stop-time-travel-time-relation gained from vehicle probe data
    Kühne, RD
    Thiessenhusen, KU
    TRAFFIC AND TRANSPORTATION STUDIES, PROCEEDINGS, 2004, : 11 - 17
  • [45] Quantile Regression Analysis of Transit Travel Time Reliability with Automatic Vehicle Location and Farecard Data
    Ma, Zhenliang
    Zhu, Sicong
    Koutsopoulos, Haris N.
    Ferreira, Luis
    TRANSPORTATION RESEARCH RECORD, 2017, (2652) : 19 - 29
  • [46] Reliability Analysis of Highway Network Travel Time Based on Information Entropy Model and Electronic Toll Collection Data
    Li, Linwei
    Jin, Yinli
    Gao, Peng
    Wang, Lairan
    Liu, Libing
    TRANSPORTATION RESEARCH RECORD, 2024, 2678 (09) : 776 - 790
  • [47] Assessing the probability of arriving on time using historical travel time data in a road network
    Samara, Adam
    Rempe, Felix
    Fastenrath, Ulrich
    Goettlich, Simone
    2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC), 2019, : 1343 - 1348
  • [48] Evaluating the Impact of Highway-Railway Grade Crossings on Travel Time Reliability on a Highway Network Level
    Wu, Zifeng
    Rilett, Laurence R.
    Chen, Yifeng
    TRANSPORTATION RESEARCH RECORD, 2018, 2672 (10) : 1 - 11
  • [49] Validating and Calibrating the Highway Capacity Manual Arterial Travel Time Reliability Methodology
    Tufuor, Ernest
    Rilett, Laurence
    Murphy, Sean
    TRANSPORTATION RESEARCH RECORD, 2021, 2675 (11) : 1382 - 1399
  • [50] Identification of Spatiotemporal Relationships in Travel Speeds along Individual Roadways using Probe Vehicle Data
    Esfahani, Reihaneh Kouhi
    Gayah, Vikash V.
    TRANSPORTATION RESEARCH RECORD, 2019, 2673 (11) : 546 - 560