Benefit
In Toronto, Canada, simulation models show that traffic-sensitive dynamic route guidance systems can increase throughput.
7-11 January 2001
Toronto,Ontario,Canada
Summary Information
This study compared Dynamic Route Guidance Systems (DRG) with Safety-Enhanced Route Guidance Systems (SRG) using a hypothetical transportation network to measure travel time savings, throughput, and vehicle accidents. The accident characteristics data input into the hypothetical model was derived from multiple Accident Prediction Models (APM) designed from the metropolitan transportation network in Toronto, Canada. The Accident Prediction Models provided the data necessary to estimate the number of accidents based on capacity and vehicle turning movements each hour. This data was input into the hypothetical model and then network activity was measured to determine the effects of DRG and SRG on network activity.
The DRG application enabled familiar/informed drivers to receive real-time traffic information and choose routes with the least travel time. The SRG application provided familiar/informed drivers with turning decision information every five minutes and enabled them to choose routes with minimal accident risk.
FINDINGS
Dynamic Route Guidance
The DRG application enabled familiar/informed drivers to receive real-time traffic information and choose routes with the least travel time. The SRG application provided familiar/informed drivers with turning decision information every five minutes and enabled them to choose routes with minimal accident risk.
FINDINGS
Dynamic Route Guidance
- DRG-equipped vehicles increased network throughput.
- The SRG application increased network throughput.
Goal Areas
Typical Deployment Locations
Metropolitan Areas
Keywords
None defined
Benefit ID: 2007-00441

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