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Title:

Transportation Routing Map Abstraction Approach: Algorithm and Numerical Analysis

Accession Number:

01555245

Record Type:

Component

Availability:

Transportation Research Board Business Office

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Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/9780309369084

Abstract:

The transportation navigation map is increasingly used in various transportation network modeling applications such as navigation or traffic assignment. A typical navigation map contains all detailed facility layers and may not be as computationally efficient for path finding as a lower resolution map. A lower resolution transportation routing map retains only roadway layers related to route-finding roadway layers and is efficient for path finding, but this map may result in only suboptimal routes. With the goal of balancing the quality and computation requirements of a transportation navigation map, the systematic abstraction of the lower resolution transportation routing map from the navigation map is an important and nontrivial task. The challenge is in how the abstracted routing map balances path-finding effectiveness and efficiency. To deal with this challenge, this study proposes an innovative map abstraction method or connectivity enhancement algorithm. The algorithm starts from a low-resolution network and continues updating the routing map by adding new links and nodes when it processes each search set node. The outcome of the proposed algorithm is an abstract map that retains the original detailed map’s hierarchical structure with high topological connectivity quality at a significant computation saving.

Monograph Accession #:

01582941

Report/Paper Numbers:

15-5162

Language:

English

Authors:

Zhu, Lei
Chiu, Yi-Chang

Pagination:

pp 78–85

Publication Date:

2015

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2528
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309369084

Media Type:

Print

Features:

Figures (3) ; References (24) ; Tables (2)

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 1:44PM

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