DocumentCode :
1626944
Title :
A novel non-payment vehicle searching method for multilane-free-flow electronic-toll-collection systems
Author :
Lin, L.R. ; Hsu, G.H. ; Jan, R.H. ; Chen, C.
Author_Institution :
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
2012
Firstpage :
904
Lastpage :
909
Abstract :
Since the heaviest traffic congestion on toll highways occurs near toll gates where vehicles make a short stop to pay the toll, an electronic toll collection (ETC) system is usually built to eliminate the traffic jams. In order to find out the non-payment vehicles, the violation enforcement usually includes cameras to capture images of license plates, and a license plate reader system to recode photographs and license plate numbers of all vehicles. Thus, automatic license plate recognition (ALPR) technology is often used in violation enforcement. However, the identification precision of ALPR is not always reliable. Human review and correction will be needed to improve the accuracy and therefore will result in extra manual operation cost. In this paper, we formulate the non-payment vehicle searching problem into a bipartite graph matching problem and propose a Photograph-to-Transaction matching algorithm (PT algorithm) without recognizing all license plate images for multilane-free-flow ETC systems. The PT algorithm not only can reduce the human loading to review and correct the image recognition results but also can accurately identify all non-payment vehicles. The performance of the PT algorithm was evaluated in ns-2 simulator and three different traffic scenarios: congested traffic, normal traffic and sparse traffic. Besides, we also propose two methods to simplify the bipartite graph, one based on the location of transaction data relative to enforcement line, and another based on the lane location where images are captured by cameras. The simulation results show that our algorithm greatly reduce the number of plate recognitions, and is more feasible and reliable for ETC enforcement. This will activate some consequent activities against the violation vehicles.
Keywords :
cameras; discrete event simulation; graph theory; object recognition; road pricing (tolls); road traffic; road vehicles; traffic engineering computing; ETC enforcement; automatic license plate recognition technology; bipartite graph matching problem; cameras; correction; human review; image recognition; lane location; license plate reader system; multilane-free-flow electronic-toll-collection; nonpayment vehicle searching method; normal traffic; ns-2 simulator; photograph-to-transaction matching algorithm; sparse traffic; toll gates; toll highways; traffic congestion; traffic jam elimination; transaction data location; violation enforcement; Bipartite graph; Image recognition; Law; Licenses; Logic gates; Vehicles; ETC; bipartite graph; image recognition; matching; multilane free flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology (ICACT), 2012 14th International Conference on
Conference_Location :
PyeongChang
ISSN :
1738-9445
Print_ISBN :
978-1-4673-0150-3
Type :
conf
Filename :
6174812
Link To Document :
بازگشت