Traffic Queue Diversion for Highway Congestion Control
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Solution Overview
Problem
Traffic builds up near locations of interest during peak hours, causing inconvenience and traffic jams, particularly at popular restaurants and sports arenas, due to long vehicle queues that extend onto adjacent highways.
Innovation Solution
A traffic management system that uses sensors and cameras to monitor vehicle queues, instructing vehicles to move to nearby parking spaces when the queue exceeds a threshold, optimizing re-entry times based on order preparation and travel duration, and aligning vehicles for efficient delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If vehicles are allowed to queue at locations of interest during peak hours, then service demand is met, but traffic congestion builds up on adjacent highways
Solution Approach 1:
The system extracts vehicles from the queue at the location of interest and relocates them to alternative parking spaces in surrounding areas. This removes the harmful effect of queue buildup on adjacent highways while maintaining the ability to serve customers during peak hours.
Solution Approach 2:
The traffic management system acts as an intermediary between vehicles and the location of interest. It coordinates queue management by directing vehicles to alternative spaces and managing their return to the service location, thereby preventing congestion on highways while maintaining service capacity.
2Object-affected harmful factors
If vehicles are diverted to alternative parking spaces, then traffic congestion is reduced, but vehicle travel time and operational complexity increase
Solution Approach 1:
The system performs preliminary actions by proactively diverting vehicles to alternative parking spaces before the queue becomes excessively long. It calculates optimal times for vehicles to return to the location of interest, ensuring minimal disruption to service while preventing congestion.
Solution Approach 2:
The queue management approach is dynamic rather than static. The system continuously monitors queue length and adjusts diversion decisions in real-time, optimizing the balance between reducing congestion and minimizing vehicle travel time based on current traffic conditions.
3Measurement precision
If real-time queue monitoring is implemented, then traffic management precision improves, but system complexity and measurement requirements increase
Solution Approach 1:
The traffic management system performs multiple functions: it monitors queue length, determines when diversion is needed, directs vehicles to alternative spaces, and coordinates their return. This multi-functionality consolidates what would otherwise require multiple separate systems into a single integrated solution.
Solution Approach 2:
The system uses available infrastructure (cameras, sensors, communication systems) to monitor and manage queues without requiring specialized expensive equipment. It leverages existing resources to achieve precise measurement and control, reducing overall system complexity.
Data Source
AI summary
A traffic management system is disclosed. The system may include a transceiver configured to receive inputs from a sensor suite located in proximity to a first location, and a processor configured to obtain the inputs from the transceiver. The processor may be further configured to determine a count of vehicles in a vehicle queue in proximity to the first location and/or a vehicle queue length based on the inputs. The processor may further determine that a predefined condition may be met based on the count of vehicles and/or the vehicle queue length. The processor may determine a presence of a vehicle behind a point of interest in the vehicle queue based on the inputs responsive to determining that the predefined condition is met, and transmit an instruction to the vehicle to move to a second location responsive to determining the vehicle presence.