Real-time vehicles velocity monitoring and crossroads evaluation using rule-based RESTful maps API service

Abstract

The vehicle velocity monitoring system is an important part of the transportation system. This system is used to conduct monitoring and evaluations so that the quality of the land transportation system can be improved. At present, there are many vehicle velocity monitoring systems. Unfortunately, most of these devices still have to be operated manually, some other devices may have been automated, but it still involves many devices that must be installed, so it is causing problems in installation, maintenance, and repair in the event of damage. In this research, we propose a rule-based cloud system, which monitors the average speed of vehicles passing on the roads that can be used to evaluate the traffic controller at crossroads using the Maps API-Service that accessed via RESTful web services. Longitude and latitude coordinates of the road are inputted into the Maps API-Service than results in distance and travel time data. This data is then developed into other information using the formula and rule-based method to measure the vehicle’s velocity and traffic controller performance. The result of this research produces a cloud-based information system that can measure vehicle velocity and performance of crossroads traffic controllers in real-time and automatically.