TY  - JOUR
TI  - OPTIMIZATION OF PLATE RECOGNITION SENSOR LOCATIONS: A CASE STUDY IN TURKEY
AB  - With the advances in sensor and data transfer technologies, the usage areas ofAutomatic License Plate Recognition (ALPR) systems have been expanded in the publicand private sectors. In public safety, ALPR systems are used to monitor and controltraffic data at both individual and collective levels. To build an efficient sensornetwork, the locations of ALPR systems should be determined optimally. This studyprovides an approach to determine optimal locations of ALPR systems that maximizenetwork coverage consisting of two measures: i) vehicle coverage and ii) roadcoverage. The former represents the daily average vehicle flow whereas the latterstands for the number of road-links covered. The relative importance of vehicle androad coverages are taken into consideration, and optimal solutions under variousscenarios are presented. A close neighbor constraint is introduced to avoid inefficientdistribution of ALPR systems on the network. A case study with numerical examplesdesigned for two cities in Turkey is provided. The centralized and decentralizedsolutions are compared against the current state, and the results show that thenetwork coverage increases substantially in the centralized case.
AU  - Gör, Buğra
AU  - KARAKAYA, GULSAH
PY  - 2021
JO  - Endüstri Mühendisliği
VL  - 32
IS  - 1
SN  - 1300-3410
SP  - 147
EP  - 163
DB  - TRDizin
UR  - http://search/yayin/detay/417785
ER  -