Estimating arterial travel time using loop data: Phase 2. Final report, 1997--1998
Successful implementation of advanced traveler information systems over an entire urban network requires real time measurement or estimation of arterial travel times (or equivalently arterial journey speeds). This project developed an arterial journey speed model using data from inductive loop detectors and traffic controllers. This model incorporates the following key findings of traffic data analysis that researchers collected in Phase 1. Spot Speeds are highly correlated with journey speeds when both speeds are low (0--15 mph) and uncorrelated with journey speeds when both speeds are high (greater than 25 mph); Signal offsets or greenband width, traffic demand, green splits and capacity-reduction incidents are major factors that affect arterial travel time/journey speed. The model consists of two parts--the speed estimated from the volume and occupancy measured by detectors and the speed estimated based on critical volume/capacity ratio. Researchers tested and compared the model with a number of existing models, with promising results.
- Research Organization:
- Iowa Univ., Iowa City, IA (United States); Minnesota Dept. of Transportation, St. Paul, MN (United States)
- OSTI ID:
- 293232
- Report Number(s):
- PB--99-112013/XAB; CNN: Contract MDOT-74884
- Country of Publication:
- United States
- Language:
- English
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