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Dynamic Toll Lane Microsimulation Calibration and Simulation: Improving Mobility by developing new pricing and control strategies for Dynamic Toll Lanes

This project constitutes a research effort to verify and calibrate a Dynamic Toll Lane (DTL) microsimulation model (Phase I) that will be used to test innovative pricing and control strategies aimed at reducing congestion (Phase II), specifically in a DTL and the main tollway lanes in the Metropolitan Area of San Juan, PR. The DTL was built recently and has already experienced congestion at the entrances and exits. The primary objective of this facility is to reduce, in some way, the time it takes to traverse the congested section of the freeway during peak hours.

Evaluating the Impact of Data-Driven Traffic Signal Optimization on Traffic Operations and Safety

Signal optimization and coordination represent a cost-effective approach to mitigating congestion and improving traffic flow, obviating the need for expensive infrastructure upgrades or construction. By effectively optimizing traffic signals, delays, travel times, and stops experienced by drivers can be significantly reduced, resulting in decreased fuel consumption and improved safety. In addition to the immediate benefits of reduced congestion and improved traffic flow, signal optimization and coordination offer long-term advantages.

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