Items where Greenwich Author is "Singh, Dr Mohit Kumar"
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(CAVIAR) commissioned by National Highways (UK)
Formosa, Nicolette, Quddus, Mohammed, Man, Cheuk Ki, Singh, Mohit Kumar ORCID: 0000-0001-7736-5583 , Morton, Craig and Masera, Cansu Bahar (2023) Evaluating the impact of lane marking quality on the operation of Autonomous Vehicles. Journal of Transportation Engineering, Part A: Systems, 150 (1). ISSN 2473-2907 (Print), 2473-2893 (Online) (doi:https://doi.org/10.1061/JTEPBS.TEENG-7688)
(CAVIAR) was funded by National Highways via Innovate UK (Grant ref. # 112278-649226)
Singh, Mohit Kumar ORCID: 0000-0001-7736-5583 , Formosa, Nicolette, Man, Cheuk Ki, Morton, Craig, Masera, Cansu Bahar and Quddus, Mohammed (2024) Assessing temporary traffic management measures on a motorway: lane closures vs narrow lanes for connected and Autonomous Vehicles in roadworks. IET Intelligent Transport Systems. pp. 1-17. ISSN 1751-956X (Print), 1751-9578 (Online) (doi:https://doi.org/10.1049/itr2.12503)
Connected and Autonomous Vehicles: Infrastructure Appraisal Readiness (CAVIAR) commissioned National Highways (NH), U.K
Formosa, Nicolette, Quddus, Mohammed, Singh, Mohit Kumar ORCID: 0000-0001-7736-5583 , Man, Cheuk Ki, Morton, Craig and Masera, Cansu Bahar (2023) An experiment and simulation study on developing algorithms for CAVs to navigate through roadworks. IEEE Transactions on Intelligent Transportation Systems, 25 (1). pp. 120-132. ISSN 1524-9050 (Print), 1558-0016 (Online) (doi:https://doi.org/10.1109/TITS.2023.3318370)
LEVITATE - Societal Level Impacts of Connected and Automated Vehicles, which received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 82436
Singh, Mohit Kumar ORCID: 0000-0001-7736-5583 , Haouari, Rajae, Papazikou, Evita, Sha, Hua, Quddus, Mohammed, Chaudhry, Amna, Thomas, Pete and Morris, Andrew (2023) Examining parking choices of connected and Autonomous Vehicles. Transportation Research Record: Journal of the Transportation Research Board, 2677 (11). pp. 589-601. ISSN 0361-1981 (Print), 2169-4052 (Online) (doi:https://doi.org/10.1177/03611981231166383)
LEVITATE - Societal Level Impacts of Connected and Automated Vehicles,” which received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 824361
Sha, Hua, Singh, Mohit Kumar ORCID: 0000-0001-7736-5583 , Haouari, Rajae, Papazikou, Evita, Quddus, Mohammed, Quigley, Claire, Chaudhry, Amna, Thomas, Pete, Weijermars, Wendy and Morris, Andrew (2023) Network-wide safety impacts of dedicated lanes for connected and Autonomous Vehicles. Accident Analysis and Prevention, 195:107424. pp. 1-16. ISSN 0001-4575 (doi:https://doi.org/10.1016/j.aap.2023.107424)
LEVITATE— Societal Level Impacts of Connected and Automated Vehicles which received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 824361
Sha, Hua, Haouari, Rajae, Singh, Mohit Kumar ORCID: 0000-0001-7736-5583 , Papazikou, Evita, Quddus, Mohammed, Chaudhry, Amna, Thomas, Pete and Morris, Andrew (2024) How can on-street parking regulations affect traffic, safety, and the environment in a cooperative, connected, and automated era? European Transport Research Review, 16 (1). pp. 1-16. ISSN 1867-0717 (Print), 1866-8887 (Online) (doi:https://doi.org/10.1186/s12544-023-00628-8)
NHSX and The Health Foundation and it is managed by the National Institute for Health Research (AI_HI200006)
Cosma, Georgina, Singh, Mohit Kumar ORCID: 0000-0001-7736-5583 , Waterson, Patrick, Jun, Gyuchan Thomas and Back, Jonathan (2024) Intelligent multi-document summarisation for extracting insights on racial inequalities from maternity incident investigation reports. In: Artificial Intelligence in Healthcare First International Conference, AIiH 2024, Swansea, UK, September 4th – 6th, 2024, Proceedings, Part II. Lecture Notes in Computer Science ((LNCS), 14976 . Springer, Cham, Switzerland, pp. 316-329. ISBN 978-3031672842; 978-3031672859 ISSN 0302-9743 (Print), 1611-3349 (Online) (doi:https://doi.org/10.1007/978-3-031-67285-9_23)
Cosma, Georgina, Singh, Mohit Kumar ORCID: 0000-0001-7736-5583 , Waterson, Patrick, Jun, Gyuchan Thomas and Back, Jonathan (2024) Unveiling disparities in maternity care: a topic modelling approach to analysing maternity incident investigation reports. In: Artificial Intelligence in Healthcare: First International Conference, AIiH 2024, Swansea, UK, September 4–6, 2024, Proceedings, Part I. Lecture Notes in Computer Science (LNCS), 14975 . Springer, Cham, Switzerland, pp. 295-308. ISBN 978-3031672774; 978-3031672781 ISSN 0302-9743 (Print), 1611-3349 (Online) (doi:https://doi.org/10.1007/978-3-031-67278-1_23)