Incorporating telemetry and car-following data for real-time monitoring of container trucks

Abstract

This paper presents the development of a real-time system for monitoring the security of container trucks in road networks. Embedded in the security monitoring system is a container truck tracking and incident detection algorithm which relies on a combination of vehicle telemetry data obtained from Global Positioning Systems and on-board sensors to continuously monitor the route choice and car-following behavior of the driver. The performance of this algorithm has been tested in a microscopic simulation model, on a set of hypothetical scenarios, which included deviations from the approved routes, forced to travel at unreasonably low speeds, or even stopped at unexpected places in the network. The initial results indicate that the proposed system has good potential in detecting abnormal driving behaviors, with 100% detection rate, 6.0 seconds of mean detection time, and less than 0.5% false alarm rate.