An Optimal Schedule for Urban Road Network Repair Based on the Greedy Algorithm.

Area of Science:

• Transportation Engineering
• Network Science
• Operations Research

Background:

• Urban road networks are vital for daily functioning.
• Disruptions from weather and incidents necessitate efficient repair strategies.
• Limited research exists on optimizing road network repair schedules.

Purpose of the Study:

• To propose an optimal schedule for urban road network repair.
• To address the challenge of limited repair resources.
• To fill the research gap in network restoration planning.

Main Methods:

• Development of a greedy algorithm for repair scheduling.
• Prioritization of critical links based on minimizing system-wide travel time ratio.
• Dynamic re-evaluation of link importance after each repair.
• Demonstration using the Sioux Falls network.

Main Results:

• The greedy algorithm provides an optimal repair schedule.
• The approach effectively handles large-scale road networks due to reduced computational complexity.
• Critical link identification and repair order dynamically adapt to network state changes.
• Theoretical proof of optimality for the greedy algorithm.

Conclusions:

• The proposed greedy algorithm offers an efficient and optimal solution for urban road network restoration.
• This method is crucial for managing disruptions and ensuring network resilience.
• The dynamic prioritization strategy enhances the effectiveness of repair efforts.