| ID | sg39 |
| Tags | information systems, transport networks |
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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)
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automation (5)
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multi-modal transport (1)
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Archive
Recent Items
- Giorgos Papadakis, “The impact of alcohol consumption on driving in rural roads using a driving simulator”, Diploma Thesis, NTUA, School of Civil Engineering, Athens, March 2025.
- Giannis Roukos, “Predicting driver behaviour in a cross-country naturalistic driving study using machine learning techniques”, Diploma Thesis, NTUA, School of Civil Engineering, Athens, March 2025.
- Michalis Nikolaou, “Cost-benefit analysis of reducing speed limits on Greek highways”, Diploma Thesis, NTUA, School of Civil Engineering, Athens, March 2025.
- “Review of 30 km/h speed limit benefits in Europe” in the Impacts and Evidence Webinar: How to move from regulation to effectiveness of speed reduction strategies organized by Euro Cities (Online, 14 March 2025)
- Ventura R., Roussou S., Ziakopoulos A., Barabinno B., Yannis G., “Using computer vision and street-level videos for pedestrian-vehicle tracking and behaviour analysis”, 30, 101366.