Server-Based Traffic Congestion Tail Position Calculation
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Solution Overview
Problem
Existing safety driving assistant systems fail to effectively determine sudden traffic congestion and provide timely lane-change recommendations, especially in areas without roadside measurement apparatuses or where congestion occurs unexpectedly.
Innovation Solution
A safety driving assistant system that utilizes probe information from vehicles to calculate a traffic congestion tail position and recommends a lane-change section to avoid congestion, using a server that acquires and processes data from probe vehicles to provide real-time assistance to target vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If probe information from vehicles is utilized to calculate traffic congestion tail position and provide lane-change recommendations, then the ability to detect sudden traffic congestion is improved, but the system complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary component that collects probe information from multiple vehicles, calculates traffic congestion tail positions, and provides lane-change recommendations. This mediator approach enables accurate sudden congestion detection by aggregating data from multiple sources without requiring complex processing in each individual vehicle, thus resolving the contradiction between detection accuracy and system complexity.
2Loss of time
If real-time probe information is processed to provide timely lane-change recommendations, then the response time for congestion avoidance is improved, but the data processing requirements and system complexity increase
Solution Approach 1:
The system performs preliminary calculations of traffic congestion tail positions and determines lane-change recommendation sections in advance based on probe information, before vehicles actually need to make lane-change decisions. This preliminary action approach reduces the response time required at the moment of decision-making while distributing the processing complexity across time, resolving the contradiction between fast response and processing complexity.
3Reliability
If lane-change recommendation sections are calculated based on traffic congestion tail position, then the effectiveness of congestion avoidance is improved, but the computational requirements increase
Solution Approach 1:
The patent extracts the complex computational tasks of calculating traffic congestion tail positions and determining lane-change recommendation sections from individual vehicles and centralizes them in a server. This extraction approach maintains high congestion avoidance effectiveness through accurate calculations while significantly reducing the computational energy requirements in each moving vehicle, resolving the contradiction between reliability and energy consumption.
Data Source
AI summary
A driving safety support system according to one aspect of the present disclosure includes a server, and a safety driving assistant device. The server performs operations including: acquiring, from probe vehicles, probe information including information of a time within a predetermined time period and a position of the corresponding probe vehicle at the time; calculating, based on the probe information, a traffic congestion tail position located upstream of a branch point at which a road branches into a plurality of lanes; and calculating a lane-change recommendation section in which a lane change is recommended based on the traffic congestion tail position. The safety driving assistant device performs operations including executing a driving safety support process for a target vehicle based on the lane-change recommendation section.