RBM Traffic Solutions Ltd
RBM Traffic Solutions Ltd* is a transport modelling and research consultancy, which has supplied educational services to the University of Aberdeen and the Transport Catapult (now the Connected Places Catapult). RBM Traffic Solutions has also developed a computer simulation model for modelling road transport networks, which is now being used on the Innovate UK funded PointsAI project which is exploring the feasibility of utilising evolutionary artificial intelligence to optimise signals and prices in road transport networks. RBM Traffic Solutions has also contributed to the ACQUIRE project (funded as part of the Ofwat Discovery Challenge), utilising case based reasoning to build a decision support tool for water quality incident management. The director of RBMTS is Dr Richard Mounce. Richard has significant experience in the field of transport network modelling; as well as knowledge of AI, such as in the application of pattern matching in both the transport and the water sector; and is also an Honorary Research Fellow at the University of Aberdeen.
Links:
Academic Website: https://www.abdn.ac.uk/geosciences/people/profiles/r.mounce/
*Registered in England and Wales under number 09915181
News
2024
RBM Traffic Solutions Ltd is a partner on the ACQUIRE project, which has been named as one of the Ofwat Discovery Challenge Winners! From a field of over 240 bids, 10 innovators are sharing in up to £4.5 million, to demonstrate how their bold solutions can help solve the biggest challenges facing the water sector, today and into the future. RBM Traffic Solutions Ltd will support project lead Mounce Hydrosmart Ltd and partner with the University of Sheffield on the ACQUIRE project, which will analyse drinking water quality incident reports from water companies and other sources using the latest AI techniques (including Generative AI, Large Language Models and Case Based Reasoning) to develop an interactive management tool and online portal benefiting the industry and helping keep customers safe.
2023
RBM Traffic Solutions Ltd awarded a BridgeAI award as the lead partner from Innovate UK for a 6 month PointsAI project to utilise evolutionary artificial intelligence (MHS Ltd) to address the problem of optimising prices and signals in road transport networks. A road traffic network model developed by RBM TS will be utilised for this purpose. This model can quickly find the user equilibrium flows, which makes it ideal for the large succession of model runs which will be needed when implementing a genetic algorithm optimisation approach.
2023
RBM Traffic Solutions Ltd named as one of the top 100 businesses in York in 2023 by York business school in association with York St John University.
2023
RBM Traffic Solutions Ltd (as sub-contractor to Mounce Hydrosmart Ltd) named as one of the finalists of the Ofwat Discovery competition in July 2023 on the ACQUIRE project sharing in £1million to demonstrate bold solutions to some of the water sector’s biggest challenges. The ACQUIRE Project will analyse drinking water quality incident report data from water companies using the latest AI techniques (including Generative AI and Large Language Models) to develop an interactive management tool and open source portal benefitting the industry and its customers.
Providing bespoke data driven analytics and machine learning applications for the water sector
