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“Using AI for spatial predictions of driver behavior” at the ITF Roundtable on Artificial Intelligence in Road Traffic Crash Prevention (February 2021).


ID cp450
Presentation
Tags artificial intelligence, big data, driver behaviour, machine learning, naturalistic driving, road infrastructure

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accident analysis (241) information systems (328) international comparisons (243) road safety measures (261) road safety strategy (180) speed (40) driver behaviour (490) culture (77) driver distraction (87) pedestrians (59) cyclists (40) motorcyclists (74) enforcement (29) young drivers (39) older drivers (66) cognitive impairment (97) alcohol (23) road infrastructure (220) road safety audit (18) junctions (8) motorways (15) road design (20) road equipment (15) weather conditions (24) intelligent systems (92) telematics (94) traffic automation (59) driving simulator (136) naturalistic driving (84) field surveys (94) statistical modelling (381) big data (94) machine learning (61) artificial intelligence (11) impact assessment (69) eco-driving (11) urban mobility (194) electro mobility (19) public transport (15) traffic management (158) traffic simulation (16) parking (20) smart cities (32) metro systems (22) large events (12) intermodal transport (33) transport networks (164) transport terminals (43) logistics (45) COVID-19 (13) vehicle (15) survey (19) automation (5) electro mobolity (1) multi-modal transport (1) micromobility (14)

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George D. Yannis, Professor, Department of Transportation Planning and Engineering, National Technical University of Athens
Iroon Polytechniou 9, Zografou 157 73, Athens, Tel.: (+30) 210.772.1326, Fax: (+30) 210.772.1454, e-mail: geyannis@central.ntua.gr

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