Study of the bus dynamic coscheduling optimization method under urban rail transit line emergency

Area of Science:

• Transportation Engineering
• Urban Planning
• Disaster Management

Background:

• Urban rail transit (URT) is crucial for urban mobility but faces service disruptions from unexpected events.
• These disruptions pose risks to passenger safety and cause significant traffic delays, necessitating effective emergency evacuation strategies.

Purpose of the Study:

• To propose a bus dynamic coscheduling method for efficient emergency evacuation in urban rail transit systems.
• To develop models for optimizing evacuation to URT stations and surrounding bus parking spots.
• To analyze the impact of key factors on total evacuation time.

Main Methods:

• Development of a bus dynamic coscheduling method with two models for different evacuation destinations.
• Introduction of the 'equivalent parking spot' concept to convert a nonlinear model into an integer linear programming (ILP) problem.
• Conducting a case study and sensitivity analysis on bus capacity and passenger numbers.

Main Results:

• The proposed models provide a dynamic coscheduling scheme for buses during emergencies.
• Sensitivity analysis showed that increased bus capacity reduces evacuation time, while more passengers increase it.
• Feasibility of the models was confirmed through a case study.

Conclusions:

• The bus dynamic coscheduling method offers a viable solution for URT emergency evacuations.
• Optimizing bus capacity and managing passenger flow are critical for minimizing evacuation times.
• The study provides strategies for enhancing the resilience of urban rail transit systems.