01622721

Component

https://doi.org/10.3141/2645-10

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.

01628860

17-00354

English

pp 86–93

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309460408

Digital/other

Figures (4) ; References (33) ; Tables (3)

Algorithms; Location; Methodology; Optimization; Traffic data; Variable message signs

Beijing (China)

Data and Information Technology; Highways; Operations and Traffic Management

TRIS, TRB, ATRI

Dec 8 2016 10:02AM

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