Traffic Coordination Server for Vehicle Group Overlap Control
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Solution Overview
Problem
In communication systems where multiple vehicle groups overlap, transmitting stop travel requests to lead vehicles can excessively impact traffic networks, especially when the wrong group is chosen based on predicted moving object information.
Innovation Solution
A server calculates the degree of impact on a traffic network for each vehicle group, estimates their presence ranges, and transmits speed change requests to the lead vehicle of the group with lower impact to avoid overlap and minimize network disruption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a request to stop traveling is transmitted to a lead vehicle of a vehicle group, then the overlapping presence range of vehicle groups can be avoided, but the traffic network is excessively impacted when the group stops traveling
Solution Approach 1:
The patent applies local quality by differentiating the impact degree of different vehicle groups on the traffic network. Instead of treating all vehicle groups uniformly, the server calculates and compares impact degrees for each group, transmitting stop requests only to groups with lower impact. This localized differentiation resolves the contradiction by allowing selective stopping that avoids overlap while minimizing overall traffic disruption.
Solution Approach 2:
The patent introduces a new parameter 'impact degree' that quantifies the effect of stopping different vehicle groups on the traffic network. By calculating and comparing this parameter across multiple groups, the system dynamically determines which group should receive the stop request. This parameter-based decision-making resolves the contradiction by optimizing the choice of which group to stop based on real-time traffic conditions.
2Reliability
If the server transmits a request to stop traveling to the lead vehicle of a vehicle group based on predicted moving object information, then the presence range overlap can be prevented, but the wrong group may be chosen causing excessive traffic impact
Solution Approach 1:
The patent implements feedback by calculating the impact degree for each vehicle group and using this information to make informed decisions about which group to request to stop. The server continuously monitors the predicted presence ranges and impact degrees, adjusting its decisions based on this feedback. This resolves the contradiction by ensuring that stop requests are transmitted to the appropriate group (lower impact) rather than the wrong group, preventing both overlap and excessive traffic disruption.
3Productivity
If the server calculates impact degree and estimates presence range for each vehicle group, then the appropriate group can be selected to minimize traffic impact, but the system complexity increases
Solution Approach 1:
The patent applies preliminary action by having the server calculate predicted moving object information, including presence ranges and impact degrees, in advance before transmitting stop requests. This preliminary calculation allows the server to make informed decisions about which vehicle group to request to stop, resolving the contradiction by enabling efficient traffic network management through pre-computed impact assessments rather than reactive decisions.
Data Source
AI summary
When the degree of impact of the first group is equal to or greater than the degree of impact of the second group, CPU transmits a deceleration request to the lead vehicles of the second group having a lower degree of impact. When the first group of impacts is less than the second group of impacts, CPU transmits a deceleration request to the first group of low degree of impact lead vehicles.