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- W656169490 abstract "This paper reviews the use of automatic vehicle identification and monitoring (AVI/AVM) as a traffic management measure. The technologies employed in AVI/AVM are discussed. AVM using transponders is a simple and practical method for vehicle identification and the implementation of an AVM system for electronic road pricing in Hong Kong is reported. It is argued that fitting transponders to private vehicles for the purpose of traffic management may not be politically or socially acceptable. A low cost scheme of vehicle identification is suggested in this paper. The scheme involves identifying wheelbase sequences rather than individual vehicles in a traffic stream. Correlation of the wheelbase sequences obtained from two axle detector pairs or stations will provide the journey time of the platoon travelling between the stations. Results from field tests indicate that a wheelbase resolution of 25 to 50 mm can be achieved. Three methods were developed from this scheme. The first method is the matching of wheelbase lengths on a cycle by cycle basis. It utilises the start times of green and red phases and was able to produce accurate estimates of link journey times. The other two methods, cross-correlation and least squares estimation, are more suitable for observation periods of 15 min and longer. They were found to be adversely affected by the presence of trucks. The least squares method is recommended for further refinement and incorporation as part of an ATC system. For the covering abstract of the conference, see TRIS no 452099. (Author/TRRL)" @default.
- W656169490 created "2016-06-24" @default.
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- W656169490 date "1985-01-01" @default.
- W656169490 modified "2023-09-24" @default.
- W656169490 title "AUTOMATIC VEHICLE IDENTIFICATION AS A TRAFFIC MANAGEMENT MEASURE" @default.
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