| 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)
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automation (5)
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multi-modal transport (1)
micromobility (14)
Archive
Recent Items
- “Safe Mobility: Innovative Approaches to Road Safety”, at the Trends and Developments in Mobility Webinar organized by Ayvens (Online, 13 November 2025)
- “Road Safety Contemporary Challenges”, at the In Motion for Safety: Safe Driving Behavior organized by Saracakis (Athens, 12 November 2025)
- Petraki V., Kanakis A., Koliou P., Yannis G., “Investigating Urban Cycling Demand Utilising Crowd sourced Data”, Proceedings of the 13th International Cycling Safety Conference, Oslo, 4-6 November 2025.
- Koliou P., Theodoraki E. M., Kontaxi A., Yannis G., “A Decade of Micromobility Injuries in Europe: Demographic and Temporal Trends”, Proceedings of the 13th International Cycling Safety Conference, Oslo, 4-6 November 2025.
- Theodoraki E. M., Koliou P., Kontaxi A., Yannis G., “Uncovering Injury Risks in Micromobility: A Comparative Machine Learning Study”, Proceedings of the 13th International Cycling Safety Conference, Oslo, 4-6 November 2025.