Distributed Routing for Urban Traffic Congestion
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Solution Overview
Problem
Current transportation systems fail to integrate multiple benefits of green technologies and public transportation, leading to increased traffic congestion in urban areas due to lack of incentives for individuals to use public transportation.
Innovation Solution
A distributed transportation computing system that synchronizes vehicle movements on metropolitan freeway systems, allowing for clean-power, energy-efficient vehicles to operate independently while using system roadways, with a method to prioritize and manage route plans to reduce congestion, including the ability for real-time re-routing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If public transportation systems are improved, then environmental impact is reduced, but incentive for individuals to use public transportation is insufficient
Solution Approach 1:
The system dynamically adjusts routing and scheduling based on real-time conditions, allowing public transportation to adapt to individual passenger needs and preferences, thereby increasing attractiveness and usage incentive
Solution Approach 2:
The system incorporates feedback mechanisms where routing decisions are continuously optimized based on passenger flow patterns, travel times, and system utilization, creating a responsive system that improves service quality and individual incentive
2Productivity
If traffic congestion is reduced through routing optimization, then traffic flow is improved, but system complexity increases
Solution Approach 1:
The system segments the transportation network into manageable routing zones and time slots, optimizing traffic flow through decentralized decision-making at each segment while maintaining overall system coordination
Solution Approach 2:
The system changes routing parameters dynamically based on traffic conditions, using adjustable variables such as route selection, departure times, and vehicle allocation to optimize flow without permanent structural complexity
3Adaptability or versatility
If existing freeway infrastructure is utilized for semi-public transportation, then scalability is improved, but retrofitting requirements increase
Solution Approach 1:
The system enables existing freeway infrastructure to serve multiple functions - both traditional public transportation and the new semi-public routed system - thereby achieving scalability without additional dedicated infrastructure
Solution Approach 2:
The system uses virtual routing overlays and digital twin technology to implement the semi-public transportation system on existing freeways, avoiding physical retrofitting while maintaining scalability
Data Source
AI summary
This disclosure describes embodiments that include systems and methods for integrating various efficient and beneficial transportation and network technologies into an energy-efficient, time-efficient, highly-scalable, semi-public transportation system. Specifically, the disclosed embodiments include methods and systems provide a distributed transportation computing system for routing clean-powered, semi-independent system vehicles within adapted existing metropolitan freeway systems. The embodiments reduce traffic congestion by synchronizing the movements of system vehicles within system roadways. System vehicles may be designed to incorporate clean-power, energy-efficiency, and both on- and off-system operational control. As system vehicles allow for both system and independent use, individuals desiring independence may be incentivized to participate in this semi-public, mass-transportation system. High scalability is possible because modifications to existing freeway infrastructures require minimal retrofitting and simplified expansion in comparison with the construction of presently available mass-transportation systems, such as light rail and subway systems.