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Majid Sarvi

Showing results (1-10 of 16) with videos related to

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Plos One|August 31, 2017
Collective movements of pedestrians: How we can learn from simple experiments with non-human (ant) crowdsZahra Shahhoseini, Majid Sarvi
Plos One|March 29, 2018
An outer approximation method for the road network design problemSaeed Asadi Bagloee, Majid Sarvi
Journal of Safety Research|February 22, 2025
Safety assurance for automated systems in transport: A collective case study of real-world fatal crashesStuart Ballingall, Majid Sarvi, Peter Sweatman
Journal of Safety Research|March 3, 2023
Safety assurance for automated driving systems that can adapt using machine learning: A qualitative interview studyStuart Ballingall, Majid Sarvi, Peter Sweatman
Accident; Analysis and Prevention|May 23, 2016
Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methodsRichard Amoh-Gyimah, Meead Saberi, Majid Sarvi
Scientific Data|February 28, 2025
MELAUDIS: A Large-Scale Benchmark Acoustic Dataset For Intelligent Transportation Systems ResearchHossein Parineh, Majid Sarvi, Saeed Asadi Bagloee
Traffic Injury Prevention|April 4, 2015
An empirical Bayes safety evaluation of tram/streetcar signal and lane priority measures in MelbourneFarhana Naznin, Graham Currie, Majid Sarvi, et al.
Sensors (Basel, Switzerland)|March 4, 2017
A Doppler Radar System for Sensing Physiological Parameters in Walking and Standing PositionsMalikeh Pour Ebrahim, Majid Sarvi, Mehmet Rasit Yuce
Accident; Analysis and Prevention|April 2, 2016
Application of a random effects negative binomial model to examine tram-involved crash frequency on route sections in Melbourne, AustraliaFarhana Naznin, Graham Currie, David Logan, et al.
Plos One|November 22, 2016
How Simple Hypothetical-Choice Experiments Can Be Utilized to Learn Humans' Navigational Escape Decisions in EmergenciesMilad Haghani, Majid Sarvi, Zahra Shahhoseini, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Plos One|August 31, 2017
Collective movements of pedestrians: How we can learn from simple experiments with non-human (ant) crowdsZahra Shahhoseini, Majid Sarvi
Plos One|March 29, 2018
An outer approximation method for the road network design problemSaeed Asadi Bagloee, Majid Sarvi
Journal of Safety Research|February 22, 2025
Safety assurance for automated systems in transport: A collective case study of real-world fatal crashesStuart Ballingall, Majid Sarvi, Peter Sweatman
Journal of Safety Research|March 3, 2023
Safety assurance for automated driving systems that can adapt using machine learning: A qualitative interview studyStuart Ballingall, Majid Sarvi, Peter Sweatman
Accident; Analysis and Prevention|May 23, 2016
Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methodsRichard Amoh-Gyimah, Meead Saberi, Majid Sarvi
Scientific Data|February 28, 2025
MELAUDIS: A Large-Scale Benchmark Acoustic Dataset For Intelligent Transportation Systems ResearchHossein Parineh, Majid Sarvi, Saeed Asadi Bagloee
Traffic Injury Prevention|April 4, 2015
An empirical Bayes safety evaluation of tram/streetcar signal and lane priority measures in MelbourneFarhana Naznin, Graham Currie, Majid Sarvi, et al.
Sensors (Basel, Switzerland)|March 4, 2017
A Doppler Radar System for Sensing Physiological Parameters in Walking and Standing PositionsMalikeh Pour Ebrahim, Majid Sarvi, Mehmet Rasit Yuce
Accident; Analysis and Prevention|April 2, 2016
Application of a random effects negative binomial model to examine tram-involved crash frequency on route sections in Melbourne, AustraliaFarhana Naznin, Graham Currie, David Logan, et al.
Plos One|November 22, 2016
How Simple Hypothetical-Choice Experiments Can Be Utilized to Learn Humans' Navigational Escape Decisions in EmergenciesMilad Haghani, Majid Sarvi, Zahra Shahhoseini, et al.
Pageof 2