Traffic signal synchronization in the saturated high-density grid road network

Area of Science:

• Transportation Engineering
• Urban Planning
• Traffic Management Systems

Background:

• Existing traffic signal synchronization strategies are ineffective in saturated high-density grid road networks (HGRNs).
• Congestion and reduced mobility are significant problems in these networks.

Purpose of the Study:

• To propose a novel regional traffic signal synchronization strategy to alleviate congestion and improve traffic efficiency in saturated HGRNs.
• To develop and evaluate the Long Green and Long Red (LGLR) traffic signal synchronization strategy.

Main Methods:

• Implementing a uniform signal control timing plan across all signalized intersections in the HGRN.
• Utilizing a "long green and long red" phase timing to manage queue formation and dissipation.
• Developing the LGLR traffic signal synchronization model with the objective of minimizing vehicle stops.

Main Results:

• The LGLR strategy effectively maintains continuous traffic flow during movement and alleviates congestion during stops.
• Simulations demonstrated the LGLR model's superiority over other models in reducing delay and the number of stops.
• The LGLR model also showed improvements in queue length and overall network performance in saturated HGRNs.

Conclusions:

• The LGLR traffic signal synchronization strategy is a highly effective solution for improving traffic efficiency in congested HGRNs.
• The strategy's focus on queue management and optimized phase timing leads to significant reductions in traffic congestion and delays.