Imperial and Germany s TUM driving exciting collaborative research and education
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Imperial and Germany s TUM driving exciting collaborative research and education | Imperial News
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15 March 2021
Imperial researchers have simulated self-driving fleet impacts using real-world data, providing suggestions for their optimal deployment in cities.
The simulations show the potential impact of fleets of autonomous vehicles (AV) on congestion, emissions, public transport and ride-sharing services.
The deployment of autonomous vehicle technologies has the potential to revolutionise mobility in cities around the world. Dr Panagiotis Angeloudis
The team analysed tens of thousands of possible deployment scenarios using real-world data and a range of service parameters and fleet management algorithms. The aim is to ensure that such services will run efficiently and profitably while reducing knock-on effects to other modes of transport, such as active and sustainable travel, whilst bringing their deployment on city streets worldwide a step closer.
Click the thumbs up >Key challenges fleet operators will face rolling out autonomous vehicles (AVs) in UK towns and cities have been identified in a new report.
Published today (Monday, March 15) by Oxbotica, Imperial College London and Transport for London (TfL),
The Shift Autonomous Vehicle Deployment Report, includes the creation of advanced traffic modelling to predict the demand and impact of autonomy on congestion, emissions, public transport and ride-sharing services.
Key challenges identified included, coping with vehicle downtime, charging infrastructure, interaction with existing public transport, the optimal fleet size and reducing vehicle mileage by anticipating future demand.
Three urban use cases have been modelled in the report, including a central city example, an inner-city deployment and an outer city scenario.