| ID | cp484 |
| Presentation | |
| Tags | COVID-19, big data, driver behaviour, machine learning, naturalistic driving, telematics, urban mobility |
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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)
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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)
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multi-modal transport (1)
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Archive
Recent Items
- Strategic Plan for Attica Transport, for the Athens Urban Transport Organization (OASA S.A.) (2024-2026).
- Information Signage Study of the Zografou Technical University Road Network for NTUA for NTUA (2024).
- Restoration of Horizontal and Vertical of the Zografou Technical University Road Network for NTUA for NTUA (2024).
- Road Safety and Functionality Assessment of the Zografou Technical University Road Network for NTUA (2024).
- Sub Group of the International Traffic Data and Analysis Group (IRTAD) on serious injuries of the International Transport Forum (2024-).