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Traffic Patrolling Routing Problem with Drones in an Urban Road System
He Luo1,2,3, Peng Zhang1,2,3, Jiajie Wang1,4,5
1School of Management, Hefei University of Technology, Hefei 230009, China.
Sensors (Basel, Switzerland)
|November 29, 2019
Summary
This study introduces a new drone-vehicle system for traffic patrolling, optimizing routes to save 9%-16% of patrol time. The coordinated approach enhances efficiency in complex urban environments.
Area of Science:
- Automation and Robotics
- Operations Research
- Transportation Engineering
Background:
- Drones offer adaptable sensing for various applications, including traffic patrolling.
- Coordinating drones with vehicles addresses drone endurance limitations in patrolling.
- Urban traffic patrolling faces challenges from complex road networks and limited ground perspectives.
Purpose of the Study:
- To address the traffic patrolling routing problem with drones (TPRP-D) in urban settings.
- To develop an efficient routing strategy for drone-vehicle coordinated traffic patrols.
- To optimize patrol efficiency and time savings in urban road systems.
Main Methods:
- Modeled the problem as a double-layer arc routing problem (DL-ARP).
- Developed mixed integer linear programming formulations.
- Implemented two-stage heuristic solution approaches for practical problem sizes.
Main Results:
- The proposed method provides optimal path planning schemes.
- Achieved 9%-16% time savings compared to traditional vehicle patrols.
- Analyzed key parameters influencing coordinated traffic patrol effectiveness.
Conclusions:
- The drone-vehicle coordinated patrol system is practical and efficient.
- The developed algorithm offers significant time savings for traffic patrolling.
- This approach enhances the capabilities of automated traffic surveillance.
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