SimplifAI: Artificially Intelligent Traffic Management System

University of Huddersfield Background
SIMPLIFAI (pronounced simplify) addresses the challenges surrounding the complex interaction between environmental, social and economic aspects of urban transport movements. It does this by using advanced AI computing techniques to simplify the interaction between transport managers and users of transport networks.
The technical innovation is a new form of AI planner that can be deployed in a Hypercat-enabled Internet of things environment. The technology combines environmental data sets with the data collected by the local authority to increase the resilience, quality of life and economic performance of the urban area using new ways of reasoning with and combining data and, in turn, developing a new way to increase capacity and improve operational efficiency from existing infrastructure systems in real-time.
The system is based on an Internet of things system architecture, which allows it to combine existing and new sensor technologies. 
Technology Overview
The project combines environmental data sets with the data collected by local authorities to increase the resilience, quality of life and economic performance of the urban area using new ways of reasoning with and combining data. A high level of strategic control is obtained using local management systems which program and re-program autonomically, providing real-time data to advance decision-making.
The ability to combine the existing data collection systems that are used to manage transport infrastructure (inductive loop speed and flow sensors, Bluetooth journey time sensors, freight, tram and bus detectors) with newer forms of detection (connected vehicles, mobile phone data, crowd-sourced data) creates a more flexible and resilient system which, unlike the current traffic management systems, does not rely on a single form of monitoring to operate successfully.
Especially effective in hot-spot areas where unforeseen problems occur (fires, crashes, sink-holes).
This technology is pre-empting impact of autonomous vehicles and will be able to provide traffic data directly to the vehicle.
Further Details
Current status is that the AI architecture has been proven in a simulated real-world environment in collaboration with Greater Manchester Transport.
Benefits
40% of time spent on surface streets in urban areas is spent idling. SimplifAI provides:

Air quality improvement
Reduction in economic transport and societal costs (such as healthcare)
More efficient and responsive emergency services

Applications

Traffic management
Smart cities
Autonomous vehicles
Emergency services

Opportunity
Seeking collaborators/licensees from local transport authorities, companies involved in AI and/or traffic management software solutions.

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