Ramp Metering, Freeway Congestion, and Driver Acceptance |
(Intelligent Transportation Systems Institute, $173,265, 2 years, PI, co-PIs Kathleen Harder and John Bloomfield)
|
| Original Abstract: Minnesota's pre-shutdown ramp metering algorithms tried to maximize throughput, implicitly minimizing total delay. If time at the ramp is not weighted the same as time-in-motion by users, this time-minimizing strategy may not be utility-maximizing for travelers. This research will attempt to quantify the weights individuals associate with qualitatively different experiences of travel time: waiting at a ramp meter or freeway-to-freeway ramp meter and traveling at different freeway speeds requiring varying numbers of acceleration and deceleration shifts, using experiments in the HumanFIRST Driving Simulator. This information will enable us to better time ramp meters in a way that responds to individual perceptions, to maximize utility rather than minimizing travel time. |
Final Report
|
Presentations and Publications
|
Master's Theses
|
