A DEVELOPMENT OF INTELLIGENT TRAFFIC DISPATCHING AND PARKING SYSTEM WITH LIMITED PARKING LOTS: A CASE OF LOCAL CITY FESTIVAL APPLICATION

Abstract

We developed an intelligent car dispatching and optimal available parking lot search system for the local festival with parking space constraints. We adopted LoRa (Long Range) network technology and Q-learning method to solve the parking bottleneck problem of the city wide distributed parking lots in the period of local festival. To develop the proposed system, we analyzed system requirements and designed the system architecture and general data processing flow. We assumed that most travelers have mobile phone. They use an App which can communicate with LoRa sensor network management server. We used Poisson distribution in the queueing theory to predict inbound traffics and to measure parking service performance. Q-learning algorithm is also used to find fastest routes and dispatch the vehicles efficiently to the available parking lots. The simulation results were good enough to verify the efficiency of the proposed method. ? 2018 ICIC International.