Development and verification of winter traffic hazard models for the Alberta highway network

被引:5
|
作者
Roh, Hyuk-Jae [1 ]
机构
[1] Roadways & Transportat, Old Fire Hall1,1640 11th Ave, Regina, SK S4P 3C8, Canada
关键词
weigh-in-motion; model verification; weather traffic model; Alberta highway network; WEATHER; VOLUME;
D O I
10.1139/cjce-2021-0169
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper develops a weather traffic model and verifies its validity through temporal transferability within the context of the Alberta highway network. This research used traffic data and weather data collected at four weigh-in-motion (WIM) sites and weather stations for five years to develop models for two-vehicle classes. We collected an additional year of traffic data from the exact four WIM locations to conduct a temporal transferability test. We evaluated the estimation accuracy resulting from the temporal transferability by measuring the value of R-2 and the magnitude of five error measures. All in all, the developed models were transferred successfully to a different year. The study results reveal that different structural types of models could be better suitable for each vehicle type at other road functions.
引用
收藏
页码:942 / 953
页数:12
相关论文
共 50 条
  • [31] Repair and maintenance models for highway traffic control devices
    Saffarzadeh, M
    Farshad, S
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B-ENGINEERING, 2005, 29 (B3): : 289 - 299
  • [32] Traffic hazard prediction based on neighbor nodes for vehicle safety communications on a highway
    Oh, Sang-Yeob
    Chung, Kyung-Yong
    MULTIMEDIA TOOLS AND APPLICATIONS, 2015, 74 (20) : 8781 - 8790
  • [33] MATHEMATICAL MODELS FOR FREELY-FLOWING HIGHWAY TRAFFIC
    NEWELL, GF
    JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF AMERICA, 1955, 3 (02): : 176 - 186
  • [34] Traffic hazard prediction based on neighbor nodes for vehicle safety communications on a highway
    Sang-Yeob Oh
    Kyung-Yong Chung
    Multimedia Tools and Applications, 2015, 74 : 8781 - 8790
  • [35] Convolutional neural network for recognizing highway traffic congestion
    Cui, Hua
    Yuan, Gege
    Liu, Ni
    Xu, Mingyuan
    Song, Huansheng
    JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 24 (03) : 279 - 289
  • [36] Highway traffic prediction with neural network and genetic algorithms
    Wang, Y
    Wang, H
    Xia, LM
    2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings, 2005, : 211 - 216
  • [37] Research on some issues in highway network traffic assignment
    Gai, Chun-Ying
    Pei, Yu-Long
    Gongku Jiaotong Keji/Journal of Highway and Transportation Research and Development, 2002, 19 (04):
  • [38] Modeling of Traffic Flows Sustainability on Highway Network Stretches
    Vojtov, Viktor
    Muzylyov, Dmitriy
    Karnaukh, Mykola
    Kravtcov, Andriy
    Goryayinov, Oleksiy
    Gorodetska, Tetiana
    Ivanov, Vitalii
    Pavlenko, Ivan
    APPLIED SCIENCES-BASEL, 2023, 13 (16):
  • [39] Traffic Efficiency Protocol for Highway Roads in Vehicular Network
    Younes, Maram Bani
    Boukerche, Azzedine
    Zhou, Xiaoli
    2016 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2016,
  • [40] Highway smart transport in vehicle network based traffic management and behavioral analysis by machine learning models
    Xia, Xiong
    Lei, Shiqin
    Chen, Ya
    Hua, Shiyu
    Gan, Hengliang
    COMPUTERS & ELECTRICAL ENGINEERING, 2024, 114