Intersection Signal Control Using Probe Vehicle Data
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Solution Overview
Problem
Intersections without vehicle sensors require manual operation for signal control and struggle to adapt to changing traffic conditions, as they are not subject to remote control by a central apparatus.
Innovation Solution
An information processing apparatus and control terminal that acquire probe vehicle information to dynamically control signal parameters like split and offset at intersections, using traffic indicators calculated from probe data to automate control adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual operation is used for signal control at intersections without vehicle sensors, then device complexity is reduced, but adaptability to changing traffic conditions deteriorates
Solution Approach 1:
The intersection control system performs self-service by using probe information from passing vehicles to automatically calculate traffic indicators and adjust signal parameters without requiring manual operation or central apparatus intervention. The control terminal at each intersection independently processes probe data and executes dynamic control adjustments.
Solution Approach 2:
The system implements feedback by continuously acquiring probe information from vehicles, calculating traffic indicators based on this data, and using the calculated indicators to dynamically adjust signal parameters. This closed-loop feedback mechanism enables automatic adaptation to changing traffic conditions while maintaining relatively simple device architecture.
2Adaptability or versatility
If remote control by central apparatus is implemented, then adaptability to traffic conditions is improved, but device complexity increases
Solution Approach 1:
The control system is segmented into independent control terminals at each intersection, with each terminal capable of independently processing probe information and executing dynamic control. This segmentation eliminates the need for complex central apparatus infrastructure while maintaining adaptability through distributed intelligence.
Solution Approach 2:
Probe information serves as an intermediary that bridges the gap between simple local control and complex centralized control. By using probe data from passing vehicles as the information source, the system achieves adaptive control capabilities without requiring complex communication infrastructure or central processing systems.
3Adaptability or versatility
If probe information is acquired for dynamic control, then adaptability to traffic conditions is improved, but loss of information increases due to data acquisition requirements
Solution Approach 1:
The system uses probe information from vehicles that are already passing through the intersection, effectively copying existing traffic data rather than requiring additional sensing infrastructure. This approach minimizes information loss by utilizing data that is naturally generated by vehicle operations.
Data Source
AI summary
An information processing apparatus includes an acquisition circuit configured to acquire probe information of a probe vehicle passing through an inflow pass leading to an intersection, and a control circuit configured to execute dynamic control of determining, for each of predetermined control periods, a signal control parameter to be applied to the intersection. The intersection is an intersection not subjected to remote control by a central apparatus, the signal control parameter includes a split to be applied to the intersection, and the dynamic control includes split dynamic control of updating the split in accordance with a traffic indicator of the inflow pass, the traffic indicator being calculated from the probe information.