ESTIMATION OF DELAYS AT TRAFFIC SIGNALS FOR VARIABLE DEMAND CONDITIONS

被引:61
|
作者
AKCELIK, R [1 ]
ROUPHAIL, NM [1 ]
机构
[1] UNIV ILLINOIS,CTR URBAN TRANSPORTAT,CHICAGO,IL 60680
关键词
D O I
10.1016/0191-2615(93)90003-S
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper proposes a delay model for signalized intersections that is suitable for variable demand conditions. The model is applicable to the entire range of expected operations, including highly oversaturated conditions with initial queues at the start of the analysis period. The proposed model clarifies several issues related to the determination of the peak flow period, as well as the periods immediately preceding and following the peak. Separate formulas are provided for estimating delay in each of the designated flow periods as well as in the total flow period. Formulas are also provided to estimate the duration of the oversaturation period where applicable. The strength of the model lies in the use of simple rules for determining flow rates within and outside the peak, using the peak flow factor, a generalization of the well-known peak hour factor parameter. Simple rules are also provided for the identification of the location and duration of the peak flow period from observations of the demand profile. Such information is considered vital from an intersection design and evaluation viewpoint. Application of the model to a variety of operating conditions indicates that the estimated delay for vehicles arriving in the peak flow period is an acceptable predictor of the average delay incurred during the total flow period, even when oversaturation persists beyond the total flow period. On the other hand, the use of the average degree of saturation with no consideration of peaking can lead to significant underestimation of delay, particularly when operating at or near capacity conditions. These findings were confirmed by comparing the model results with other models found in the literature. The significant contribution of this work is not simply in the development of improved delay estimates, but, more important, in providing an integrated framework for an estimation process that incorporates (a) the peaking characteristics in the demand flow pattern, (b) the designation of flow-specific periods within the total flow period in accordance with the observed peaking and (c) the estimation of performance parameters associated within each flow period and in combination with other periods. A revised delay formula for the U.S. Highway Capacity Manual (HCM) is proposed. The revised formula has no constraints on the peak flow period degree of saturation, unlike the current HCM formula. It is also recommended that a simple formula for estimating the duration of oversaturation be used in conjunction with the revised delay formula.
引用
收藏
页码:109 / 131
页数:23
相关论文
共 50 条
  • [1] Delays at fixed-time traffic signals under time-dependent traffic conditions
    Brilon, Werner
    Wu, Ning
    [J]. Traffic Engineering and Control, 1990, 31 (12):
  • [2] Simulation modeling and variability assessment of delays at traffic signals
    Mousa, RM
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 2003, 129 (02): : 177 - 185
  • [3] Variable demand traffic modelling: Introducing realities
    Robinson, Alan
    Kennedy, William Bill
    Moselakgomo, Madametja
    [J]. Civil Engineering, 2012, (SEPTEMBER): : 17 - 20
  • [4] Dynamic origin-destination demand flow estimation under congested traffic conditions
    Lu, Chung-Cheng
    Zhou, Xuesong
    Zhang, Kuilin
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2013, 34 : 16 - 37
  • [5] Visibility Estimation of Traffic Signals under Rainy Weather Conditions for Smart Driving Support
    Sato, Ryuhei
    Doman, Keisuke
    Deguchi, Daisuke
    Mekada, Yoshito
    Ide, Ichiro
    Murase, Hiroshi
    Tamatsu, Yukimasa
    [J]. 2012 15TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2012, : 1321 - 1326
  • [6] Demand-Oriented Rescheduling of Railway Traffic in Case of Delays
    Cavone, Graziana
    Montaruli, Virginia
    van den Boom, Ton J. J.
    Dotoli, Mariagrazia
    [J]. 2020 7TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'20), VOL 1, 2020, : 1040 - 1045
  • [7] Traffic Demand Estimation for Hybrid Switching Systems
    Li, Pingqing
    Sun, Weiqiang
    Xiao, Shilin
    Hu, Weisheng
    [J]. 2013 15TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON 2013), 2013,
  • [8] Methods for asymmetric traffic assignment model with variable demand
    Chen, Huey-Kuo
    Wang, Chung-Yung
    [J]. Proceedings of the National Science Council, Republic of China, Part A: Physical Science and Engineering, 1994, 18 (06): : 551 - 560
  • [9] Estimation of time delays between unknown colored signals
    Emile, B
    Comon, P
    [J]. SIGNAL PROCESSING, 1998, 69 (01) : 93 - 100
  • [10] Optical aspects of traffic signals and variable message signs
    Royle, MC
    MacKinnon, MA
    [J]. EIGHTH INTERNATIONAL CONFERENCE ON ROAD TRAFFIC MONITORING AND CONTROL, 1996, (422): : 224 - 230