IMPROVING THE EFFICIENCY AND ACCURACY OF ODOT TEMPORARY TRAFFIC MONITORING SYSTEM (FHWA-OK-19-02 2301)

Abstract

Vehicle detection, counting, and classification are key for not only improving road designs and maintenance, but also driver safety. In pursuit of these objectives, the authors proposed an automated system for collecting temporary vehicle data (e.g., count, speed, vehicle classification based on axles, collection date and time, among other factors). The framework is composed of three main components: 1) an inexpensive portable sensor for counting and classifying vehicles; 2) an Android app to easily calibrate the sensor on-site and fetch collected sensor data; and 3) a server that leverages wireless communication and cloud technology for processing and presenting data. A first-phase system was deployed and tested by Oklahoma Department of Transportation. A project extension further developed and debugged the system and validated functionality. The two-year extension includes server maintenance and support for the Traffic Counting and Monitoring System web service and android application.