Seven tasks were completed during this two year project for the Texas Department of Transportation.
- Evaluate innovative lane control measures such as both fixed cycle signals and continuous merge signals
- Collect and analyze observational data at workzones
- Use mesoscopic dynamic traffic assignment modeling to estimate the diversion rate
- Input the vehicle flow output from the mesoscopic model into a microscopic model to evaluate driver behavior
- Input the vehicle trajectories from the microscopic model into a safety analysis model for predicting conflict rates
- Develop a decision tree to guide TxDOT towards the appropriate lane control measure in each potential scenario
- Present the results in a pilot training workshop and final report