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Accident; Analysis and Prevention
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January 23, 2014
Network-level accident-mapping: Distance based pattern matching using artificial neural network
Lipika Deka, Mohammed Quddus
Accident; Analysis and Prevention
|
March 7, 2017
Crash data quality for road safety research: Current state and future directions
Marianna Imprialou, Mohammed Quddus
Accident; Analysis and Prevention
|
January 6, 2019
Evaluating the safety impact of connected and autonomous vehicles on motorways
Alkis Papadoulis, Mohammed Quddus, Marianna Imprialou
Accident; Analysis and Prevention
|
August 15, 2021
Developing personalised braking and steering thresholds for driver support systems from SHRP2 NDS data
Evita Papazikou, Pete Thomas, Mohammed Quddus
Accident; Analysis and Prevention
|
September 29, 2022
Developing a new real-time traffic safety management framework for urban expressways utilizing reinforcement learning tree
Kui Yang, Mohammed Quddus, Constantinos Antoniou
Accident; Analysis and Prevention
|
July 4, 2024
A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability
Matin Sadeghi, Kayvan Aghabayk, Mohammed Quddus
Accident; Analysis and Prevention
|
December 11, 2021
Transfer learning for spatio-temporal transferability of real-time crash prediction models
Cheuk Ki Man, Mohammed Quddus, Athanasios Theofilatos
Accident; Analysis and Prevention
|
July 16, 2023
Modelling the effects of fuel price changes on road traffic collisions in the European Union using panel data
Nadia K Naqvi, Mohammed Quddus, Marcus Enoch
Accident; Analysis and Prevention
|
March 6, 2019
A new integrated collision risk assessment methodology for autonomous vehicles
Christos Katrakazas, Mohammed Quddus, Wen-Hua Chen
Transportation
|
June 26, 2023
Investigating the role of preference variation in the perceptions of railway passengers in Great Britain
Fredrik Monsuur, Marcus Enoch, Mohammed Quddus, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 29) with videos related to
Sort By:
Page
of 3
Accident; Analysis and Prevention
|
January 23, 2014
Network-level accident-mapping: Distance based pattern matching using artificial neural network
Lipika Deka, Mohammed Quddus
Accident; Analysis and Prevention
|
March 7, 2017
Crash data quality for road safety research: Current state and future directions
Marianna Imprialou, Mohammed Quddus
Accident; Analysis and Prevention
|
January 6, 2019
Evaluating the safety impact of connected and autonomous vehicles on motorways
Alkis Papadoulis, Mohammed Quddus, Marianna Imprialou
Accident; Analysis and Prevention
|
August 15, 2021
Developing personalised braking and steering thresholds for driver support systems from SHRP2 NDS data
Evita Papazikou, Pete Thomas, Mohammed Quddus
Accident; Analysis and Prevention
|
September 29, 2022
Developing a new real-time traffic safety management framework for urban expressways utilizing reinforcement learning tree
Kui Yang, Mohammed Quddus, Constantinos Antoniou
Accident; Analysis and Prevention
|
July 4, 2024
A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability
Matin Sadeghi, Kayvan Aghabayk, Mohammed Quddus
Accident; Analysis and Prevention
|
December 11, 2021
Transfer learning for spatio-temporal transferability of real-time crash prediction models
Cheuk Ki Man, Mohammed Quddus, Athanasios Theofilatos
Accident; Analysis and Prevention
|
July 16, 2023
Modelling the effects of fuel price changes on road traffic collisions in the European Union using panel data
Nadia K Naqvi, Mohammed Quddus, Marcus Enoch
Accident; Analysis and Prevention
|
March 6, 2019
A new integrated collision risk assessment methodology for autonomous vehicles
Christos Katrakazas, Mohammed Quddus, Wen-Hua Chen
Transportation
|
June 26, 2023
Investigating the role of preference variation in the perceptions of railway passengers in Great Britain
Fredrik Monsuur, Marcus Enoch, Mohammed Quddus, et al.
Page
of 3