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Accident; Analysis and Prevention|December 9, 2019
Applying the colocation quotient index to crash severity analysesPei-Fen Kuo, Dominique LordAccident; Analysis and Prevention|December 9, 2019
Exploring injury severity in head-on crashes using latent class clustering analysis and mixed logit model: A case study of North CarolinaPengfei Liu, Wei FanAccident; Analysis and Prevention|February 17, 2020
Finding manoeuvre motifs in vehicle telematicsMaria Ines Silva, Roberto HenriquesAccident; Analysis and Prevention|February 18, 2020
A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly driversAmir Mohammadian Amiri, Amirhossein Sadri, Navid Nadimi, et al.Accident; Analysis and Prevention|February 8, 2020
Risk Assessment of Commercial dangerous -goods truck drivers using geo-location data: A case study in ChinaShifeng Niu, Satish V UkkusuriAccident; Analysis and Prevention|February 10, 2020
Understanding the discretionary lane-changing behaviour in the connected environmentYasir Ali, Zuduo Zheng, Md Mazharul Haque, et al.Accident; Analysis and Prevention|February 23, 2020
Evaluating the effects of a simulator-based training on knowledge, attitudes and driving profiles of German ambulance driversMaria J Prohn, Britta HerbigAccident; Analysis and Prevention|February 15, 2020
Occupant injuries in light passenger vehicles-A NASS study to enable priorities for development of injury prediction capabilities of human body modelsBengt Pipkorn, Johan Iraeus, Mats Lindkvist, et al.Accident; Analysis and Prevention|February 5, 2020
The importance of flow composition in real-time crash predictionFranco Basso, Leonardo J Basso, Raul PezoaAccident; Analysis and Prevention|January 22, 2020
Increased traffic injuries among older unprotected road users following the introduction of an age-based cognitive test to the driver's license renewal procedure in JapanMasao Ichikawa, Haruhiko Inada, Shinji NakaharaPageof 812