‘Herding’in direction choice-making during collective escape of crowds: How likely is it and what moderates it? M Haghani, M Sarvi Safety science 115, 362-375, 2019 | 43 | 2019 |
‘Rationality’in collective escape behaviour: Identifying reference points of measurement at micro and macro levels M Haghani, M Sarvi Journal of advanced transportation 2019 (1), 2380348, 2019 | 25 | 2019 |
-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments M Goudarzi, MA Rodriguez, M Sarvi, R Buyya IEEE Transactions on Services Computing, 2023 | 1 | 2023 |
A big data approach for clustering and calibration of link fundamental diagrams for large-scale network simulation applications Z Gu, M Saberi, M Sarvi, Z Liu Transportation Research Part C: Emerging Technologies 94, 151-171, 2018 | 25 | 2018 |
A big data approach for clustering and calibration of link fundamental diagrams for large-scale network simulation applications Z Gu, M Saberi, M Sarvi, Z Liu Transportation research procedia 23, 901-921, 2017 | 19 | 2017 |
A Comparison Study of Different Data Resolutions 2 for Deep Reinforcement Learning Based Adaptive 3 Traffic Signal Control System 4 M Yazdani, M Sarvi, SA Bagloee | 1 | 2021 |
A comprehensive approach to balanced road space allocation in relation to transit priority G Currie, M Sarvi, W Young Transportation Research Board (USA) Annual Meeting 2004, 1-14, 2004 | 15 | 2004 |
A comprehensive approach to balanced road space allocation in relation to transit priority: report on a project to develop a framework and guidelines for road space allocation … G Currie, M Sarvi, W Young Transportation Research Board Annual Meeting, 83rd, 2004, Washington, DC, USA, 2004 | 5 | 2004 |
A Consolidated Knowledge-and Data-Driven Model for Public Transport Service Load Estimation Using Multiple Data Sources T Yin, J Leong, N Nassir, E Tanin, M Sarvi Available at SSRN 3979404, 2022 | | 2022 |
A Deep Wavelet-Fourier Method for Monaural Vehicle Speed Estimation in Real-Life Settings H Parineh, M Sarvi, SA Bagloee IEEE Sensors Journal, 2024 | | 2024 |
A doppler radar system for sensing physiological parameters in walking and standing positions M Pour Ebrahim, M Sarvi, MR Yuce Sensors 17 (3), 485, 2017 | 23 | 2017 |
A Double-Class Structured-Parameter Paired Combinatorial Logit Stochastic Traffic Assignment Approach for Forecasting Benefits of Traveler Information Systems Prior to Installation M Haghani, Z Shahhoseini, M Sarvi Transportation Research Board 94th Annual MeetingTransportation Research Board, 2015 | | 2015 |
A Dynamic Discrete Choice Modelling Approach for Forward-Looking Travel Mode Choices J Leong, N Nassir, SS Mohri, M Sarvi Available at SSRN 4760806, 2023 | | 2023 |
A graph and attentive multi-path convolutional network for traffic prediction J Qi, Z Zhao, E Tanin, T Cui, N Nassir, M Sarvi IEEE Transactions on Knowledge and Data Engineering, 2022 | 25 | 2022 |
A heuristic approach to optimise public transport priority in an urban network M Mesbah, M Sarvi Australasian Transport Research Forum (ATRF), 32nd, 2009, Auckland, New …, 2009 | 2 | 2009 |
A hybrid branch‐and‐bound and benders decomposition algorithm for the network design problem SA Bagloee, M Sarvi, M Patriksson Computer‐Aided Civil and Infrastructure Engineering 32 (4), 319-343, 2017 | 47 | 2017 |
A hybrid machine-learning and optimization method to solve bi-level problems SA Bagloee, M Asadi, M Sarvi, M Patriksson Expert Systems with Applications 95, 142-152, 2018 | 54 | 2018 |
A hybrid model for collective motion of pedestrians N Shiwakoti, M Sarvi, G Rose, M Burd 32nd Australasian Transport Research Forum, 2009 | 2 | 2009 |
A local linear model tree approach to develop car-following model considering lead vehicle types SKA Eagely, M Sarvi, N Forouzideh, W Young Transportation Research Board (USA) Annual Meeting 2013, 1-12, 2013 | | 2013 |
A macroscopic study of heavy vehicle traffic flow characteristics SKA Eagely, M Sarvi, W Young Australian Road Research Board Annual Conference 2012, 1-11, 2012 | | 2012 |