George Yannis
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“Conducting spatial predictions of driver behavior using multi-parametric data” at the PIONEERing Solutions for the Smart City Challenge, April 2021.


ID cp458
Presentation
Tags big data, driver behaviour, machine learning, naturalistic driving, road infrastructure, statistical modelling, telematics

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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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