DocumentCode :
1453193
Title :
Adaptive Metering Algorithm for Electronic Commercial Vehicle Preclearance Systems
Author :
Jinwoo Lee ; Chow, G.
Author_Institution :
Sch. of Urban Dev., Queensland Univ. of Technol., Brisbane, QLD, Australia
Volume :
13
Issue :
3
fYear :
2012
Firstpage :
1116
Lastpage :
1124
Abstract :
This paper presents an adaptive metering algorithm for enhancing the electronic screening (e-screening) operation at truck weight stations. This algorithm uses a feedback control mechanism to control the level of truck vehicles entering the weight station. The basic operation of the algorithm allows more trucks to be inspected when the weight station is underutilized by adjusting the weight threshold lower. Alternatively, the algorithm restricts the number of trucks to inspect when the station is overutilized to prevent queue spillover. The proposed control concept is demonstrated and evaluated in a simulation environment. The simulation results demonstrate the considerable benefits of the proposed algorithm in improving overweight enforcement with minimal negative impacts on nonoverweighed trucks. The test results also reveal that the effectiveness of the algorithm improves with higher truck participation rates in the e-screening program.
Keywords :
automated highways; electric vehicles; metering; road traffic control; road vehicles; adaptive metering algorithm; e-screening operation; e-screening program; electronic commercial vehicle preclearance systems; electronic screening operation; feedback control mechanism; minimal negative impacts; nonoverweighed trucks; overweight enforcement; queue spillover prevention; simulation environment; truck participation rates; truck vehicles; truck weight stations; weight threshold; Adaptive systems; Feedback control; Inspection; Traffic control; Vehicles; Weight measurement; Commercial vehicle operations (CVO); electronic screening (e-screening); traffic control; truck weight; weight station;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2012.2185791
Filename :
6155606
Link To Document :
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