Roadside Equipment Lane Assignment via Coordinate Transformation
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Solution Overview
Problem
Existing traffic monitoring and control systems face challenges in accurately identifying vehicle lanes and managing traffic signals due to limitations in GPS accuracy and the need for expensive, high-precision equipment, especially in conditions like fog, which affects the reliability of sensors and video detection systems.
Innovation Solution
A roadside equipment system that wirelessly receives vehicle data, including location and time information, to determine vehicle motion and lane assignment by correlating this data with traffic signal phases, allowing for lane-specific control without requiring highly accurate GPS, and enabling self-learning of lane geometry based on vehicle movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS accuracy is improved to precisely identify vehicle lanes, then measurement precision is improved, but device complexity and cost increase due to requiring high-precision equipment
Solution Approach 1:
The patent introduces an intermediary coordinate transformation system that converts GPS coordinates (latitude/longitude/altitude) into roadway coordinates (east/west/north-south distance from centerline). This intermediary transformation allows standard GPS accuracy to achieve lane-specific identification without requiring high-precision GPS equipment, resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent transforms the parameter space from geographic coordinates to roadway-specific coordinates by calculating distances from the roadway centerline and determining lane positions based on these transformed parameters. This parameter change enables accurate lane identification using standard GPS accuracy levels, avoiding the need for expensive high-precision equipment
2Measurement precision
If sensors and video detection systems are used for vehicle detection, then measurement precision is improved, but reliability deteriorates in adverse conditions such as fog
Solution Approach 1:
The patent replaces optical detection systems (sensors and video cameras) with a wireless communication-based detection system. The onboard equipment in vehicles transmits location data wirelessly to the roadside equipment, which then determines lane positions through coordinate transformation. This substitution eliminates the reliability issues of optical systems in foggy conditions while maintaining measurement precision
Solution Approach 2:
The patent uses wireless communication signals as an intermediary medium to transfer vehicle location information from onboard equipment to roadside equipment. This intermediary communication channel is not affected by foggy conditions, unlike direct optical detection methods, thereby maintaining both measurement precision and system reliability in adverse weather
Data Source
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AI summary
A roadside equipment (RSE) system (320) that can be used for controlling traffic signals and other equipment (330, 340) and corresponding method. A method includes wirelessly receiving (405) vehicle data from an onboard equipment (OBE) system connected to a vehicle (310), the vehicle data including location data, time data, and vehicle identification data related to the vehicle. The method includes determining (410) motion data for the vehicle and determining (415) the current state of at least one traffic device. The method includes determining (420) a roadway lane corresponding to the vehicle, based on the motion data and the current state of the at least one traffic device, and storing (425) the vehicle and associated roadway lane.