479.575 PEOPLE
| People | Locations | Statistics |
|---|---|---|
| Ziakopoulos, Apostolos | Athens |
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| Vigliani, Alessandro | Turin |
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| Catani, Jacopo | Rome |
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| Statheros, Thomas | Stevenage |
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| Utriainen, Roni | Tampere |
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| Guglieri, Giorgio | Turin |
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| Martínez Sánchez, Joaquín |
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| Tobolar, Jakub |
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| Volodarets, M. |
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| Piwowar, Piotr |
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| Tennoy, Aud | Oslo |
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| Matos, Ana Rita |
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| Cicevic, Svetlana |
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| Sommer, Carsten | Kassel |
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| Liu, Meiqi |
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| Pirdavani, Ali | Hasselt |
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| Niklaß, Malte |
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| Lima, Pedro | Braga |
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| Turunen, Anu W. |
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| Antunes, Carlos Henggeler |
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| Krasnov, Oleg A. |
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| Lopes, Joao P. |
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| Turan, Osman |
| |
| Lučanin, Vojkan | Belgrade |
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| Tanaskovic, Jovan |
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Ziakopoulos, Apostolos
National Technical University of Athens
in Cooperation with on an Cooperation-Score of 37%
Topics
- safety
- crash investigation
- braking
- data
- variable
- indicating instrument
- acceleration
- forest
- highway safety
- regression analysis
- database
- geometry
- freeway
- injury
- property
- annual average daily traffic
- highway design
- driving
- forecasting
- machinery
- learning
- machine learning
- street
- pedestrian
- meta-analysis
- gap acceptance
- driving behavior
- smartphone
- spatial analysis
- perception
- driver
- automobile
- logit
- alcohol
- ethanol
- neural network
- traffic safety
- road network
- contrast
- medication
- telephone
- drunk driving
- logistic regression analysis
- rural area
- cellular telephone
- questionnaire
- measuring instrument
- deep learning
- drug
- text messaging
- speeding
- motorcyclist
- behavior
- time series
- COVID-19
- pandemic
- crash
- modeling
- road
- tourism
- infrastructure
- assessment
- estimate
- survey
- physics
- cost benefit analysis
- vision
- engineering
- lighting
- sensitivity
- purchasing
- traffic calming
- present value
- inflation
- abstract
- vehicle
- computer science
- transportation engineering
- software
- human being
- poison
- distraction
- information system
- automation
- driver information system
- professional driver
- ergonomics
- human factor
- motorcycle
- vehicle occupant
- resident
- weather
- injury severity
- moped
- intelligent speed adaptation
- alcohol ignition interlock device
- traveller
- decision support system
- stakeholder
- committee
- countermeasure
- taxonomy
- color code
- show 73 more
Publications
- 2023A Review of Surrogate Safety Measures Uses in Historical Crash Investigations
- 2023Exploiting Surrogate Safety Measures and Road Design Characteristics towards Crash Investigations in Motorway Segments
- 2022Spatial predictions of harsh driving events using statistical and machine learning methodscitations
- 2021To cross or not to cross? Review and meta-analysis of pedestrian gap acceptance decisions at midblock street crossingscitations
- 2021Spatial analysis of harsh driving behavior events in urban networks using high-resolution smartphone and geometric datacitations
- 2021Predicting fatigued driving via deep learning based on driver perspectives
- 2021Investigation of the speeding behavior of motorcyclists through an innovative smartphone applicationcitations
- 2021Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecastingcitations
- 2021Examining the relationship between impaired driving and past crash involvement in Europe: Insights from the ESRA studycitations
- 2021Modelling self-reported driver perspectives and fatigued driving via deep learning
- 2020Investigation of the effect of tourism on road crashescitations
- 2019Review and ranking of crash risk factors related to the road infrastructurecitations
- 2019A systematic cost-benefit analysis of 29 road safety measurescitations
- 2019A meta-analysis of the impacts of operating in-vehicle information systems on road safetycitations
- 2018Examining injury severity of moped and motorcycle occupants with real-time traffic and weather datacitations
- 2017Effectiveness of intelligent speed adaptation, collision warning and alcolock systems on driving behaviour and safety
- 2016Identification of Road User related Risk Factors. SAfetyCube Deliverable 4.1
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