Variable message signs (VMSs) provide important traffic information to help drivers travel better on a transportation network. The effectiveness of VMSs largely depends on the numbers and locations of VMSs in a transportation network. Although a few optimization models have been proposed to find candidate roads for locating VMSs, few have been devoted to developing algorithms that can be used in a real transportation network. A large amount of traffic data, such as traffic flow data, is widely available, collected by various means. Based on those traffic data, a sorting algorithm for a VMS location problem is presented in this paper. The algorithm gave a VMS location order rather than a location set. The proposed method divided roads into categories according to multilevel attributes and preferentially selected roads of a higher class with larger flows and more information and the minimal effect of existing VMS in a certain order to locate VMS. The proposed algorithm was analyzed and verified through a practical case on the Beijing, China, urban road network.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Data-Based Sorting Algorithm for Variable Message Sign Location: Case Study of Beijing


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:
    Si, Bingfeng (author) / He, Zhengbing (author) / Yang, Xiaobao (author) / Gao, Ziyou (author)


    Publication date :

    2017-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    An Agent-Based Simulation Model for Parking Variable Message Sign Location Problem

    Ni, Xun-You / Sun, Daniel (Jian) | Transportation Research Record | 2018


    Intelligent variable message sign - IVMS

    Siefker, H. / Janke, M. | Tema Archive | 1992


    Intelligent variable message sign - IVMS

    Siefker,H. / Janke,M. / Krone,DE | Automotive engineering | 1992