Proposed algorithm minimizing overall travel time found to be most efficient for managing dynamic express-lane fares.

The algorithm, which was evaluated against other proposed schema, was shown to be effective and resilient to a variety of traffic environments.

Fort Lauderdale; Florida; United States

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Lesson Learned

The travel time based (TT-based) algorithm was found to be the most effective of the dynamic tolling schemes.
  • In the calibrated logit model, it performed slightly, though not significantly, better than the density-based algorithm, and significantly better than the travel time savings based (TTS-based) algorithm.
  • In the more sensitive logit model, it performed significantly better than both other algorithms.
  • In both scenarios, it consistently ranked as having the most effective capacity utilization across all scenarios, and was found to have the lowest total network delay the majority of the time. The authors of the presentation noted that the TT-based algorithm was actually the least sensitive to input, increasing tolls less frequently, but attracting more vehicles to the Els than the other two algorithms.
  • The TTS-based algorithm was found to be the most effective at meeting the policy standard, which called for maintaining a speed of at least 45 mph among 95 percent of all vehicles in the EL. While the TTS-based algorithm met this criterion every time, the TT- and density-based algorithms failed to meet it 25 percent of the time.
  • The TTS-based algorithm was also found to perform better at the 15-minute evaluation mark than at the 5-minute evaluation mark, as its response was slightly slower than the other two algorithms.

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Open Source Software in Public Transportation: A Case Study

Author: Barbeau, S. and S. Polzin

Published By: Center for Urban Transportation Research

Source Date: 01/15/2020

URL: http://bit.ly/trb-open-transit-software

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Ned Schweikert


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Lesson ID: 2020-00947