Please use this identifier to cite or link to this item:
|Title: ||Optimal Locations of License Plate Recognition to Enhance the Origin-Destination Matrix Estimation|
|Authors: ||Chiou, Yu-Chiun|
Lan, Lawrence W.
|Keywords: ||license plate recognition, O-D matrix estimation, genetic algorithm|
|Issue Date: ||2011-05-26 23:23:37 (UTC+8)|
|Publisher: ||Eastern Asia Society for Transportation Studies|
|Abstract: ||This paper develops a model to determine and to locate the optimal numbers of license plate recognition (LPR) to minimize error rates of O-D matrix estimation, percentages of LPR coverage (a proxy of installation cost), and percentages of recorded trips (a proxy of privacy invasion). A genetic algorithm is proposed to solve the combinatorial problem. To demonstrate the applicability of the proposed model and solving algorithm, two exemplified cases and a real-world case are investigated. The results have consistently showed that the optimal locations of LPR are at both ends and in the middle of the segments of a freeway corridor with heavy link traffics. If an extensive coverage of LPR is attempted, however, additional LPR may be placed at the segments with light link traffics so as to balance out the privacy invasion.|
|Relation: ||Journal of the Eastern Asia Society for Transportation Studies, Vol. 9.|
|Appears in Collections:||[電視與網路行銷管理系] 專書、期刊論文或研討會議論文|
Files in This Item:
All items in MITUSTIR are protected by copyright, with all rights reserved.