Roadway Resource Control for Dynamic Traffic Routing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traffic congestion leads to significant time, financial, and environmental losses due to inefficient traffic management, with existing solutions failing to effectively address the need for timely and cost-efficient travel.
Innovation Solution
A method and system that utilize a network of roadway resources, including adaptive traffic lights and lane management, controlled via a DSRC network and cellular access, to calculate and adjust routes based on user requests for timely arrival, determining the necessary resources to control and charging users accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional traffic management systems are used, then infrastructure complexity is minimized, but travel time and traffic congestion increase significantly
Solution Approach 1:
The traffic management system integrates multiple functions including adaptive traffic light control, dynamic route calculation, lane management, and communication with vehicles through DSRC and cellular networks. This multi-functional approach allows a single system to address various aspects of traffic congestion simultaneously, reducing overall travel time while managing system complexity through consolidation.
Solution Approach 2:
The system dynamically adjusts traffic light timing, route recommendations, and lane assignments based on real-time traffic conditions, vehicle locations, and user preferences. This dynamic adaptation enables the system to optimize travel time continuously rather than relying on static configurations, directly addressing the time loss problem.
2Productivity
If adaptive traffic light control and lane management are implemented, then traffic flow efficiency improves, but infrastructure cost and complexity increase
Solution Approach 1:
The system continuously receives feedback from vehicles through DSRC and cellular communications regarding location, speed, and destination. This feedback loop enables real-time adjustments to traffic light timing and lane management decisions, optimizing traffic flow efficiency while managing infrastructure complexity through intelligent control algorithms.
Solution Approach 2:
The system calculates optimal routes and prepares traffic resource allocations in advance based on predicted traffic patterns and user requests. By performing preliminary actions such as pre-coordinating traffic light sequences and lane assignments before vehicles arrive, the system improves traffic flow efficiency without requiring overly complex real-time control infrastructure.
3Reliability
If roadway resources are controlled to enable timely arrival, then user satisfaction and punctuality improve, but system operational cost increases
Solution Approach 1:
The system applies differentiated service levels to different users and road segments based on local conditions and user willingness to pay. Rather than uniformly controlling all roadway resources for all users, the system selectively manages traffic lights and lanes for specific vehicles requesting timely arrival, improving reliability for paying users while minimizing overall system operational costs.
Solution Approach 2:
The system changes operational parameters such as traffic light timing, speed limits, and lane assignments dynamically based on user requests and payment amounts. By adjusting these parameters selectively for users who prioritize timely arrival, the system achieves reliable arrival time guarantees for specific vehicles while avoiding the high costs of universal resource control.
Data Source
AI summary
A method and computer-readable storage device and apparatus for controlling a roadway resource are disclosed. For example, the method receives from a device associated with a vehicle a request to reach a target destination by a target arrival time and a maximum payment amount to reach the target destination by the target arrival time. The method next determining a route to the target destination and determines a roadway resource along the route that is controllable. The method then sends an instruction to the device associated with the vehicle, where the instruction indicates to navigate the vehicle along the route and controls the roadway resource to enable the vehicle to reach the target destination by the target arrival time.