A philosophical context for methods to estimate origin-destination trip matrices using link counts

被引:0
|
作者
Timms, P [1 ]
机构
[1] Univ Leeds, Inst Transport Studies, Leeds LS2 9JT, W Yorkshire, England
关键词
D O I
暂无
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
This paper creates a philosophical structure for classifying methods that estimate origin-destination matrices using link counts. It is claimed that the motivation for doing so is to help real-life transport planners use matrix estimation methods effectively, especially in terms of trading-off observational data with prior subjective input (typically referred to as 'professional judgement'). The paper lists a number of applications that require such methods, differentiating between relatively simple and highly complex applications. It is argued that a sound philosophical perspective is particularly important for estimating trip matrices in the latter type of application. As a result of this argument, a classification structure is built up through using concepts of realism, subjectivity, empiricism and rationalism. Emphasis is put on the fact that, in typical transport planning applications, none of these concepts is useful in its extreme form. The structure is then used to make a review of methods for estimating trip matrices using link counts, covering material published over the past 30 years. The paper concludes by making recommendations, both philosophical and methodological, concerning both practical applications and further research.
引用
收藏
页码:269 / 301
页数:33
相关论文
共 50 条
  • [21] Inferring origin-destination trip matrices with a decoupled GLS path flow estimator
    Nie, Y
    Zhang, HM
    Recker, WW
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2005, 39 (06) : 497 - 518
  • [22] Estimation of Origin-Destination Matrix from Uncertain Link Counts Using Mixed Intelligent Algorithm
    Zhou, Heping
    Liu, Wusheng
    Li, Lihua
    International Conference on Intelligent Computation Technology and Automation, Vol 2, Proceedings, 2008, : 368 - 372
  • [23] Estimation of origin-destination matrices from link flows on uncongested networks
    Hazelton, ML
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2000, 34 (07) : 549 - 566
  • [24] An approximation method of origin-destination flow traffic from link load counts
    Jiang, Dingde
    Xu, Zhengzheng
    Xu, Hongwei
    Han, Yang
    Chen, Zhenhua
    Yuan, Zhen
    COMPUTERS & ELECTRICAL ENGINEERING, 2011, 37 (06) : 1106 - 1121
  • [25] Estimation of origin-destination trip rates in Leicester
    Hazelton, ML
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2001, 50 : 423 - 433
  • [26] Updating Dynamic Origin-destination Matrices using Observed Link Travel Speed by Probe Vehicles
    Yamamoto, Toshiyuki
    Miwa, Tomio
    Takeshita, Tomonori
    Morikawa, Takayuki
    TRANSPORTATION AND TRAFFIC THEORY 2009: GOLDEN JUBILEE, 2009, : 723 - +
  • [27] Using neural network for predicting hourly origin-destination matrices from trip data and environmental information
    Hassanzadeh, Ehsan
    Amini, Zahra
    SCIENTIA IRANICA, 2024, 31 (19) : 1711 - 1726
  • [28] Parameter optimization methods for estimating dynamic origin-destination trip-tables
    Dept of Industrial and Systems Eng, Polytechnic Institute + State Univ, Blacksburg VA 24061-0118, United States
    Transp Res Part B Methodol, 2 (141-157):
  • [29] Parameter optimization methods for estimating dynamic origin-destination trip-tables
    Sherali, HD
    Arora, N
    Hobeika, AG
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 1997, 31 (02) : 141 - 157
  • [30] Using Origin-Destination Centrality to Estimate Directional Bicycle Volumes
    McDaniel, Stephen
    Lowry, Michael B.
    Dixon, Michael
    TRANSPORTATION RESEARCH RECORD, 2014, (2430) : 12 - 19