Article ID: | iaor1997623 |
Country: | United Kingdom |
Volume: | 4C |
Issue: | 2 |
Start Page Number: | 87 |
End Page Number: | 96 |
Publication Date: | Apr 1996 |
Journal: | Transportation Research. Part C, Emerging Technologies |
Authors: | Koppelman Frank S., William Sermons M. |
This paper investigates the effectiveness of individual vehicle movement measures in the detection of incidents on urban arterial road segments. Several measures of varying measurement complexity, including average speed, running time and speed, and coefficient of variation of speed, are calculated from vehicle positioning data recorded at 1-s time intervals. The sensitivity of measures to dieffrences in traffic condition is investigated, and the most sensitive measures are used as predictor variables in discriminant classification models. The results of these analyses are presented and discussed, including a simulation of the implementation of the classification models.