USE OF VEHICLE POSITIONING DATA FOR ARTERIAL INCIDENT DETECTION

This paper investigates the effectiveness of individual vehicle moveme nt measures in the detection of incidents on urban arterial road segme nts. Several measures of varying measurement complexity, including ave rage speed, running time and speed, and coefficient of variation of sp eed, are calculated from vehicle positioning data recorded at 1-s time intervals. The sensitivity of measures to differences in traffic cond ition is investigated, and the most sensitive measures are used as pre dictor variables in discriminant classification models. The results of these analyses are presented and discussed, including a simulation of the implementation of the classification models. Copyright (C) 1996 E lsevier Science Ltd