This paper reports on some large-scale field testing results for real-time freeway network traffic surveillance that were recently attained in southern Italy. The paper first introduces the related network traffic flow model and the employed approaches to traffic state estimation, traffic state prediction, and incident alarm. The field testing for these surveillance tasks in the A3 freeway of 100 km between Naples and Salerno in southern Italy is then reported in some detail. The obtained results are quite satisfactory and promising for further future implementations of a real-time freeway network traffic surveillance tool that was recently developed via integration of the reported traffic surveillance approaches.
Abstract