Traffic Strategy System for Real-Time Incident Management
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Solution Overview
Problem
Current transport network management systems struggle to efficiently handle high travel demand, incidents, and events in real-time, often requiring manual planning and are limited in scalability and adaptability, especially when network capacity is approached or exceeded.
Innovation Solution
An automated software system that generates and implements traffic management strategies using real-time and modeled data to optimize route options, reduce congestion, and manage events, incidents, and air quality by orchestrating control instructions across infrastructure means.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual planning and customized traffic management plans are used, then the system can handle specific incidents and events, but the system requires significant time to create plans and lacks real-time adaptability
Solution Approach 1:
The system pre-generates multiple strategy options offline using simulated incident data before actual incidents occur. When an incident happens, the system selects and implements pre-prepared strategies immediately without requiring manual plan creation, thus eliminating plan creation time while maintaining adaptability to various incident types.
Solution Approach 2:
The system dynamically adapts to changing conditions by continuously monitoring real-time traffic data and automatically selecting or adjusting strategies based on current network status. This allows the system to handle diverse incidents in real-time without manual intervention, resolving the contradiction between adaptability and response time.
2Area of stationary object
If traditional traffic control systems are used, then the system can manage flows in optimum way on individual corridors, but the system is limited to small geographical regions and cannot handle network-wide coordination
Solution Approach 1:
The system merges multiple corridor-level control systems into a unified network-wide management platform. By integrating data and control functions across geographical boundaries, the system achieves network-wide coordination while managing complexity through automated strategy generation and centralized orchestration of control instructions.
Solution Approach 2:
The system creates a universal platform that can manage traffic across diverse geographical regions and incident types using a common set of strategies and control mechanisms. This multi-functional approach allows the system to handle various incidents (accidents, roadworks, events) across large areas without requiring separate specialized systems for each scenario.
3Object-generated harmful factors
If capacity reduction measures are implemented to manage bottlenecks, then congestion and emissions can be reduced, but travel demand cannot be met and network efficiency decreases
Solution Approach 1:
The system dynamically adjusts traffic flow management based on real-time conditions, implementing capacity reduction measures only when and where necessary to reduce emissions, while maintaining or improving overall network efficiency through alternative route optimization and adaptive signal control. This resolves the contradiction by making capacity management flexible rather than static.
Solution Approach 2:
The system changes operational parameters such as signal timings, route recommendations, and flow distribution dynamically to reduce emissions in polluted areas while maintaining network productivity. By adjusting parameters rather than simply reducing capacity, the system achieves emission reduction without sacrificing overall network efficiency.
Data Source
AI summary
A traffic strategy and/or management system suitable for generating and/or implementing strategy options which achieve a goal set by the user, said system including orchestration means connected to; data source means, infrastructure means and management or control means. The orchestration means is also connected to a strategy generation means configured to create at least one traffic management strategy and/or a set of control instructions for all infrastructure means relevant to the strategy to achieve a goal set by the user, wherein said data source means includes modelled data and real time data which are supplied and utilised by the strategy generation means and received via the orchestration means to create a traffic management strategy and/or a set of control instructions in real time and/or near real time.