Optimal Evacuation Strategy for Parking Lots Considering the Dynamic Background Traffic Flows.

Area of Science:

• Traffic Engineering
• Operations Research
• Emergency Management

Background:

• Existing parking lot evacuation strategies often neglect dynamic background traffic.
• This oversight can lead to suboptimal evacuation plans and increased risks.

Purpose of the Study:

• To develop an optimal evacuation model for parking lots that minimizes total evacuation time.
• To account for the impact of dynamic background traffic flows on evacuation strategies.

Main Methods:

• The evacuation process is divided into two periods: queuing and route choice.
• Queuing theory estimates waiting times, while traffic flow and intersection delay models simulate route selection.
• A modified ant colony algorithm is used to solve the complex models.

Main Results:

• The proposed model significantly improves evacuation efficiency compared to existing methods.
• Background traffic dynamics influence both vehicle queuing times and optimal evacuation routes.
• Headway time for merging into traffic is a critical factor affecting overall evacuation duration.

Conclusions:

• Dynamic background traffic must be integrated into parking lot evacuation planning for optimal results.
• The developed model provides a more realistic and efficient approach to parking lot evacuations.
• Understanding traffic merging dynamics is crucial for minimizing evacuation times and associated losses.