| Crowd behaviour and motion: Empirical methods M Haghani, M Sarvi Transportation research part B: methodological 107, 253-294, 2018 | 180 | 2018 |
| Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions N Shiwakoti, M Sarvi, G Rose, M Burd Procedia-social and behavioral sciences 17, 438-461, 2011 | 179 | 2011 |
| Simulation of safety: A review of the state of the art in road safety simulation modelling W Young, A Sobhani, MG Lenné, M Sarvi Accident Analysis & Prevention 66, 89-103, 2014 | 165 | 2014 |
| Lane changing models: a critical review S Moridpour, M Sarvi, G Rose Transportation letters 2 (3), 157-173, 2010 | 142 | 2010 |
| Evaluation of speed-based travel time estimation models R Li, G Rose, M Sarvi Journal of transportation engineering 132 (7), 540-547, 2006 | 123 | 2006 |
| Human exit choice in crowded built environments: Investigating underlying behavioural differences between normal egress and emergency evacuations M Haghani, M Sarvi Fire Safety Journal 85, 1-9, 2016 | 116 | 2016 |
| Enhancing the panic escape of crowd through architectural design N Shiwakoti, M Sarvi Transportation research part C: emerging technologies 37, 260-267, 2013 | 109 | 2013 |
| Optimization of transit priority in the transportation network using a genetic algorithm M Mesbah, M Sarvi, G Currie IEEE Transactions on Intelligent Transportation Systems 12 (3), 908-919, 2011 | 107 | 2011 |
| A new approach to evaluating on-road public transport priority projects: balancing the demand for limited road-space G Currie, M Sarvi, B Young Transportation 34 (4), 413-428, 2007 | 103 | 2007 |
| Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methods R Amoh-Gyimah, M Saberi, M Sarvi Accident Analysis & Prevention 93, 147-159, 2016 | 98 | 2016 |
| Stated and revealed exit choices of pedestrian crowd evacuees M Haghani, M Sarvi Transportation Research Part B: Methodological 95, 238-259, 2017 | 92 | 2017 |
| Effect of surrounding traffic characteristics on lane changing behavior S Moridpour, G Rose, M Sarvi Journal of Transportation Engineering 136 (11), 973-985, 2010 | 91 | 2010 |
| Modeling the lane-changing execution of multiclass vehicles under heavy traffic conditions S Moridpour, M Sarvi, G Rose Transportation research record 2161 (1), 11-19, 2010 | 88 | 2010 |
| Optimization of transit priority in the transportation network using a decomposition methodology M Mesbah, M Sarvi, I Ouveysi, G Currie Transportation research part C: emerging technologies 19 (2), 363-373, 2011 | 84 | 2011 |
| Continuum theory for pedestrian traffic flow: Local route choice modelling and its implications SP Hoogendoorn, F van Wageningen-Kessels, W Daamen, DC Duives, ... Transportation Research Procedia 7, 381-397, 2015 | 82 | 2015 |
| Using automatic vehicle identification data to gain insight into travel time variability and its causes R Li, G Rose, M Sarvi Transportation Research Record 1945 (1), 24-32, 2006 | 82 | 2006 |
| Microsimulation of freeway ramp merging processes under congested traffic conditions M Sarvi, M Kuwahara IEEE Transactions on Intelligent Transportation Systems 8 (3), 470-479, 2007 | 80 | 2007 |
| Following the crowd or avoiding it? Empirical investigation of imitative behaviour in emergency escape of human crowds M Haghani, M Sarvi Animal behaviour 124, 47-56, 2017 | 79 | 2017 |
| A novel methodology for evolutionary calibration of Vissim by multi-threading K Aghabayk, M Sarvi, W Young, L Kautzsch Australasian Transport Research Forum 36 (1), 1-15, 2013 | 78 | 2013 |
| An integrated framework to predict bus travel time and its variability using traffic flow data E Mazloumi, G Rose, G Currie, M Sarvi Journal of Intelligent Transportation Systems 15 (2), 75-90, 2011 | 78 | 2011 |
