DocumentCode
1306151
Title
Graphical route information panel for the urban freeway network in Shanghai, China
Author
Gan, Howard
Author_Institution
Center of Transp. Res., Univ. of Shanghai for Sci. & Technol., Shanghai, China
Volume
4
Issue
3
fYear
2010
fDate
9/1/2010 12:00:00 AM
Firstpage
212
Lastpage
220
Abstract
The concept of using graphical route information panel (GRIP) to improve the dynamic traffic management efficiency is becoming increasingly popular recently. Colour-coded level-of-service (LOS) map and route travel time are important information displayed by GRIP. This study addresses the graphical information provision issue and the travel time prediction issue, based on research and development of Shanghai urban freeway GRIPs. It first presents function and location of Shanghai GRIP, philosophy of GRIP panel layout and basic principle of LOS display method. Then it focuses on segmentation of LOS map and proposes three segmentation approaches: the detector-based approach, the ramp-based approach and the hybrid approach. Opinions and lessons learned regarding advantages and disadvantages of different segmentation approaches are given. Next, it proposes a macroscopic traffic flow model-based travel time prediction approach for GRIP. The traffic flow model incorporated in the prediction approach is a validated high-order continuum model. The preliminary performance test of the approach is conducted using real-traffic data of a three-lane urban freeway section of Yan-An elevated road in Shanghai. The results reveal that the travel time prediction approach performs well both under free-flowing conditions and under congested conditions. Last, it gives concluding remarks.
Keywords
automated highways; image segmentation; road traffic; traffic information systems; China; Shanghai; colour coded level-of-service map; continuum model; detector based map segmentation; graphical route information panel; macroscopic traffic flow model; ramp based map segmentation; route travel time; traffic management; urban freeway network;
fLanguage
English
Journal_Title
Intelligent Transport Systems, IET
Publisher
iet
ISSN
1751-956X
Type
jour
DOI
10.1049/iet-its.2010.0017
Filename
5558889
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