00985989

Component

https://doi.org/10.3141/1886-07

http://scholar.google.com...vuth&publication_year=2004

The problem of locating automatic vehicle identification (AVI) readers on a transportation network is one worth considering. AVI readers are strategically located to catch a maximum number of trips and cover a maximum number of origin-destination (O-D) pairs using a minimum number of AVI readers. There are three possible objectives when deciding locations for AVI readers: (a) a minimum number of AVI readers, (b) maximum O-D coverage, and (c) a maximum number of trips (or AVI readings). To satisfy all three objectives as much as possible, the problem is formulated as a multiobjective integer-optimization problem. A distance-based genetic algorithm is applied to solve this multiobjective AVI reader-location problem by explicitly generating the nondominated solutions. Numerical results are presented to demonstrate the feasibility of the proposed multiobjective model. The procedure proposed holds great promise for the development of a well-configured AVI system that can achieve a balance between quality and cost of coverage (i.e., trade-off between cost and coverage requirements).

This paper appears in Transportation Research Record No. 1886, Intelligent Transportation Systems and Vehicle-Highway Automation 2004.

00985982

English

p. 49-58

2004

Transportation Research Record

030909481X

Figures (5) ; References (21) ; Tables (1)

Automatic vehicle identification; Automatic vehicle location; Costs; Genetic algorithms; Optimization; Origin and destination; Performance

Multiobjective models

Finance; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control

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