To extend the CMPP framework to incorporate more complex vehicle behaviors like dynamic rerouting and signal coordination strategies such as offset optimization, several adjustments and enhancements can be made:
Dynamic Rerouting:
Integrate real-time traffic information and predictive analytics to anticipate congestion and dynamically reroute vehicles to less congested paths.
Implement machine learning algorithms to learn from historical traffic patterns and make proactive rerouting decisions.
Develop a communication system between vehicles and the traffic control system to enable dynamic rerouting based on individual vehicle data.
Signal Coordination Strategies:
Incorporate offset optimization techniques to synchronize traffic signals along corridors for smoother traffic flow.
Utilize adaptive signal control algorithms that adjust signal timings based on real-time traffic conditions and demand.
Implement predictive modeling to anticipate traffic patterns and optimize signal coordination preemptively.
By integrating these advanced features, the CMPP framework can evolve into a more sophisticated and adaptive traffic control system that can handle dynamic traffic scenarios and optimize signal coordination for improved efficiency and congestion management.