Bidirectional Traffic Control Using Mobile Device Data
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Solution Overview
Problem
Current urban traffic control systems are costly due to the need for numerous and expensive vehicle detectors, and existing route planning tools lack precision in providing optimal travel routes, often leading to traffic congestion.
Innovation Solution
A bidirectional interactive traffic-control management system that integrates real-time traffic information from road users into a digital urban traffic network to generate optimal signal timing plans and route guidance, using modules for traffic control and route optimization to minimize delays and congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle detectors are installed at road sections or intersections to obtain real-time traffic flow information, then traffic control accuracy is improved, but system cost and operational burden increase significantly
Solution Approach 1:
The system uses road-users' mobile devices to automatically provide traffic flow information through their existing navigation applications. The mobile devices self-report location, speed, and trajectory data without requiring external detection infrastructure, making the road-users themselves serve as the information source.
Solution Approach 2:
Instead of using physical vehicle detectors, the system creates a virtual model of traffic flow by collecting and processing data from mobile devices. This digital copy of traffic information replaces the need for physical detection equipment while maintaining the functionality of real-time traffic monitoring.
2Manufacturing precision
If route planning tools perform simple calculations without signal timing information, then computational speed is maintained, but route optimization accuracy deteriorates
Solution Approach 1:
The system pre-calculates and stores signal timing information for all intersections in the road network before route planning is performed. This preliminary preparation allows the route optimization algorithm to quickly access accurate signal timing data without performing complex real-time calculations, thus maintaining both accuracy and speed.
Solution Approach 2:
The system continuously updates signal timing information based on real-time traffic conditions and feeds this information back to the route planning module. This feedback mechanism ensures that route recommendations are based on current traffic patterns and signal states, improving accuracy without requiring complex real-time computation during the routing process.
Data Source
AI summary
A bidirectional interactive traffic-control management system includes a road and traffic network information subsystem, an urban traffic control subsystem and a road-users' route guidance subsystem. The first subsystem forms real-time traffic information of all road sections in the digital urban traffic-control road network. The second subsystem generates a real-time optimal signal timing plan for each intersection based on the real-time traffic information of its connecting road sections. The third subsystem generates a real-time optimal route plan based on the real-time travel information of all road-users, the real-time traffic information of all road sections, and the real-time optimal signal timing plan of each intersection of the road network. It then transmits the optimal route plan into a navigator in a mobile device of a road-user or in an on-board-unit of a moving vehicle or via a roadside unit for transmission.