Traffic Signal Control for Heavy Vehicle Flow Optimization
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Solution Overview
Problem
Heavy vehicles cause significant damage to roads due to their weight and duration of use, with existing solutions focusing on road surface strengthening and vehicle modifications, but missing opportunities to optimize traffic flow to minimize impact.
Innovation Solution
A method and system that determine the location and destination information of heavy vehicles with weights above a threshold, modifying traffic signal sequences to optimize their flow, thereby reducing road damage by prioritizing vehicle velocity and minimizing changes in velocity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If traffic signal sequences are modified to prioritize heavy vehicle flow, then road damage is reduced, but general traffic efficiency may deteriorate
Solution Approach 1:
The system performs preliminary identification of heavy vehicles using weight sensors before they reach critical road sections. Traffic signal sequences are pre-modified in advance to create green corridors for identified heavy vehicles, allowing them to pass through multiple intersections without stopping. This preliminary action reduces road damage by minimizing heavy vehicle stops and starts while the system manages general traffic during off-peak periods to minimize efficiency loss.
Solution Approach 2:
The traffic signal system dynamically adjusts signal sequences based on real-time heavy vehicle location data and road condition information. The system creates adaptive green corridors that move with heavy vehicle positions, optimizing the balance between reducing road damage and maintaining general traffic flow. Signal modifications are applied selectively to specific intersections and time windows rather than globally, preserving general traffic efficiency in unaffected areas.
2Object-affected harmful factors
If heavy vehicles are allowed to maintain higher velocities, then road impact is reduced, but safety risks increase
Solution Approach 1:
The system continuously monitors heavy vehicle velocity, location, and surrounding traffic conditions using sensors and communication systems. Real-time feedback is provided to both the traffic signal control system and the heavy vehicle drivers through display devices. The system adjusts green corridor timing and velocity recommendations based on feedback about road conditions, weather, and nearby pedestrians or other vehicles, dynamically optimizing the safety- road impact trade-off.
Solution Approach 2:
An intermediary control system acts as a mediator between heavy vehicle operators and the traffic infrastructure. This intermediary monitors vehicle velocity, ensures compliance with safety thresholds, and coordinates with traffic signals to maintain safe operating conditions. The intermediary can communicate velocity recommendations to drivers and enforce maximum speed limits within green corridors, balancing the need for reduced road impact with safety requirements.
3Productivity
If traffic signal sequences are modified in real-time, then heavy vehicle flow is optimized, but system complexity increases
Solution Approach 1:
The traffic signal control system is designed with multi-functionality to handle both standard traffic control and heavy vehicle optimization tasks. Existing traffic signal infrastructure is enhanced with additional capabilities for heavy vehicle identification, tracking, and signal modification without requiring completely separate systems. This universal approach reduces overall system complexity by consolidating functions rather than adding independent parallel systems.
Solution Approach 2:
The system employs automated heavy vehicle identification using weight sensors and onboard transponders that self-report location and destination. Once identified, heavy vehicles receive automatic green corridor assignments without manual intervention. The traffic signal system autonomously adjusts signal sequences based on received data, eliminating the need for complex manual coordination or centralized dispatch operations, thereby reducing operational complexity while maintaining optimization benefits.
Data Source
AI summary
There is provided a method for heavy vehicle traffic flow optimization. The method includes determining location information and destination information of qualifying heavy vehicles. The method further includes modifying one or more traffic signal sequences to optimize a traffic flow of the qualifying heavy vehicles responsive to the location information and the destination information. Each of the qualifying heavy vehicles has a respective associated weight greater than a predetermined weight threshold.