TY - GEN
T1 - Parking Lot Allocation Based on Matching Theory using Prediction-based Optimal Vehicle Routing
AU - Nakazato, T.
AU - Namerikawa, T.
N1 - Publisher Copyright:
© 2019 Institute of Control, Robotics and Systems - ICROS.
PY - 2019/10
Y1 - 2019/10
N2 - The purpose of this paper is to relax traffic congestion caused by the decrease in vehicle speed in case of a driver searching for a parking lot in traffic network, by using Smart Parking System. Smart Parking System is a system that allocates parking lot considering both the driver's preference and the parking lot manager's preference in advance. At that time, driver should know the optimal route and its time from currrent location to each parking lot. In this paper, Smart Parking System consider the road condition in traffic network and present the driver time by the optimal route from the driver's current location to each parking lot. Then, the parking lot allocation is determined by using matching theory considering both the driver's preference including information of optimal route and its time and the parking lot manager's preference. Finally, the effectiveness is confirmed by numerical simulations and results of parking lot allocation using optimal vehicle routing.
AB - The purpose of this paper is to relax traffic congestion caused by the decrease in vehicle speed in case of a driver searching for a parking lot in traffic network, by using Smart Parking System. Smart Parking System is a system that allocates parking lot considering both the driver's preference and the parking lot manager's preference in advance. At that time, driver should know the optimal route and its time from currrent location to each parking lot. In this paper, Smart Parking System consider the road condition in traffic network and present the driver time by the optimal route from the driver's current location to each parking lot. Then, the parking lot allocation is determined by using matching theory considering both the driver's preference including information of optimal route and its time and the parking lot manager's preference. Finally, the effectiveness is confirmed by numerical simulations and results of parking lot allocation using optimal vehicle routing.
KW - ITS
KW - Smart Parking System
KW - matching theory
KW - optimal routing algorithm
KW - parking lot allocation
UR - http://www.scopus.com/inward/record.url?scp=85079102094&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85079102094&partnerID=8YFLogxK
U2 - 10.23919/ICCAS47443.2019.8971616
DO - 10.23919/ICCAS47443.2019.8971616
M3 - Conference contribution
AN - SCOPUS:85079102094
T3 - International Conference on Control, Automation and Systems
SP - 1004
EP - 1009
BT - ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings
PB - IEEE Computer Society
T2 - 19th International Conference on Control, Automation and Systems, ICCAS 2019
Y2 - 15 October 2019 through 18 October 2019
ER -
