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Real Time Vehicle Reidentification and Performance Measures on Signalized Arterials

An analytical model was developed and tested to estimate the travel times on signalized arterials in real-time based on data commonly provided by system loop detectors (flow and occupancy) and the signal settings (cycle length, green times and offsets). The model was extended to account for the effects of detector placement and queue spillovers. The results from model applications show that it accurately estimates travel times for a wide range of operating conditions. A vehicle re-identification methodology also was developed based on data from conventional loop detectors. Sample application indicates that it can be used to produce performance measures such as travel time variability and quality of signal progression