Majid Sarvi

Multi-view crowd congestion monitoring system based on an ensemble of convolutional neural network classifiers

Yan Li, Majid Sarvi, Kourosh Khoshelham, Milad Haghani

Journal article  |  2020  |  Journal of Intelligent Transportation Systems

Multi-view video surveillance is a highly valuable tool to ensure the safety of the crowd in large public space. By utilizing comp..

Short-term traffic flow prediction based on faded memory Kalman Filter fusing data from connected vehicles and Bluetooth sensors

A Emami, M Sarvi, SA Bagloee

Journal article  |  2020  |  Simulation Modelling Practice and Theory

This paper proposes a Kalman Filter (KF) technique to predict the short-term flow at urban arterials based on the information of c..

Evacuation behaviour of crowds under high and low levels of urgency: Experiments of reaction time, exit choice and exit-choice adaptation

M Haghani, M Sarvi, Z Shahhoseini

Journal article  |  2020  |  Safety Science

How does evacuation behaviour of crowds vary based on the level of perceived urgency? This question was investigated using two sim..

Safety Assurance Concepts for Automated Driving Systems

S Ballingall, M Sarvi, P Sweatman

Conference Proceedings  |  2020  |  SAE Technical Paper Series

Automated driving systems (ADSs) for road vehicles are being developed that can perform the entire dynamic driving task without a ..

A model for multi-class road network recovery scheduling of regional road networks

Arash Kaviani, Russell G Thompson, Abbas Rajabifard, Majid Sarvi

Journal article  |  2020  |  Transportation

A review of the critical elements and development of real-world connected vehicle testbeds around the world

Azadeh Emami, Majid Sarvi, Saeed Asadi Bagloee

Journal article  |  2020  |  Transportation Letters

Concerning the critical role of Intelligent Transportation System (ITS) in tackling the problem of traffic congestion, and enhanci..

Laboratory experimentation and simulation of discrete direction choices: Investigating hypothetical bias, decision-rule effect and external validity based on aggregate prediction measures

M Haghani, M Sarvi

Journal article  |  2019  |  Transportation Research Part A: Policy and Practice

Laboratory experiments have recently become popular methods for understanding decision-making behaviour of humans in evacuations. ..

A neural network algorithm for queue length estimation based on the concept of k-leader connected vehicles

A Emami, M Sarvi, S Asadi Bagloee

Journal article  |  2019  |  Journal of Modern Transportation

This paper presents a novel method to estimate queue length at signalised intersections using connected vehicle (CV) data. The pro..

Modeling and simulation of pedestrian movement planning around corners

C Dias, M Abdullah, M Sarvi, R Lovreglio, W Alhajyaseen

Journal article  |  2019  |  Sustainability (Switzerland)

Owing to the complexity of behavioral dynamics and mechanisms associated with turning maneuvers, capturing pedestrian movements ar..

Pedestrian Origin-Destination Estimation in Emergency Scenarios

Y Li, M Sarvi, K Khoshelham

Conference Proceedings  |  2019  |  2019 9th International Conference on Fire Science and Fire Protection Engineering (ICFSFPE)