Travel time estimation in urban networks using limited probes data

被引:17
作者
El Esawey, Mohamed [1 ]
Sayed, Tarek [1 ]
机构
[1] Univ British Columbia, Dept Civil Engn, Vancouver, BC V6T 1Z4, Canada
关键词
Probe vehicles; Travel time correlation; Travel time estimation;
D O I
10.1139/L11-001
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Travel time is a simple and robust network performance measure that is well understood by the public. However, travel time data collection can be costly especially if the analysis area is large. This research proposes a solution to the problem of limited network sensor coverage caused by insufficient sample size of probe vehicles or inadequate numbers of fixed sensors. Within a homogeneous road network, nearby links of similar character are exposed to comparable traffic conditions, and therefore, their travel times are likely to be positively correlated. This correlation can be useful in developing travel time relationships between nearby links so that if data becomes available on a subset of these links, travel times of their neighbours can be estimated. A methodology is proposed to estimate link travel times using available data from neighbouring links. To test the proposed methodology, a case study was undertaken using a VISSIM micro-simulation model of downtown Vancouver. The simulation model was calibrated and validated using field traffic volumes and travel time data. Neighbour links travel time estimation accuracy was assessed using different error measurements and the results were satisfactory. Overall, the results of this research demonstrate the feasibility of using neighbour links data as an additional source of information to estimate travel time, especially in case of limited coverage.
引用
收藏
页码:305 / 318
页数:14
相关论文
共 22 条
  • [1] [Anonymous], UCBITSPWP9511
  • [2] Estimating corridor travel time by using transit vehicles as probes
    Cathey, FW
    Dailey, DJ
    [J]. TRANSPORTATION DATA RESEARCH: PLANNING AND ADMINISTRATION, 2003, (1855): : 60 - 65
  • [3] CATHEY FW, 2002, P TRANSP RES BOARD 8
  • [4] CHAKROBORTY P, 2004, P TRANSP RES BOARD 8
  • [5] CHAN KS, 2009, P TRANSP RES BOARD 8
  • [6] Dynamic freeway travel-time prediction with probe vehicle data - Link based versus path based
    Chen, M
    Chien, SIJ
    [J]. TRANSPORTATION DATA AND INFORMATION TECHNOLOGY: PLANNING AND ADMINISTRATION, 2001, (1768): : 157 - 161
  • [7] DU J, 2006, P TRANSP RES BOARD 8
  • [8] EISELE WL, 2002, P TRANSP RES BOARD 8
  • [9] Expected shortest paths in dynamic and stochastic traffic networks
    Fu, LP
    Rilett, LR
    [J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 1998, 32 (07) : 499 - 516
  • [10] GAJEWSKI BJ, 2003, P TRANSP RES BOARD 8