Majid Sarvi
Cited by
Cited by
Crowd behaviour and motion: Empirical methods
M Haghani, M Sarvi
Transportation research part B: methodological 107, 253-294, 2018
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
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
Lane changing models: a critical review
S Moridpour, M Sarvi, G Rose
Transportation letters 2 (3), 157-173, 2010
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
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
Evaluation of speed-based travel time estimation models
R Li, G Rose, M Sarvi
Journal of transportation engineering 132 (7), 540-547, 2006
Stated and revealed exit choices of pedestrian crowd evacuees
M Haghani, M Sarvi
Transportation Research Part B: Methodological 95, 238-259, 2017
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
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
Enhancing the panic escape of crowd through architectural design
N Shiwakoti, M Sarvi
Transportation research part C: emerging technologies 37, 260-267, 2013
Effect of surrounding traffic characteristics on lane changing behavior
S Moridpour, G Rose, M Sarvi
Journal of Transportation Engineering 136 (11), 973-985, 2010
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, 413-428, 2007
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
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
A state-of-the-art review of car-following models with particular considerations of heavy vehicles
K Aghabayk, M Sarvi, W Young
Transport reviews 35 (1), 82-105, 2015
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
Lane-changing decision model for heavy vehicle drivers
S Moridpour, M Sarvi, G Rose, E Mazloumi
Journal of Intelligent Transportation Systems 16 (1), 24-35, 2012
A mixed user‐equilibrium and system‐optimal traffic flow for connected vehicles stated as a complementarity problem
SA Bagloee, M Sarvi, M Patriksson, A Rajabifard
Computer‐Aided Civil and Infrastructure Engineering 32 (7), 562-580, 2017
Electric vehicles: A review of network modelling and future research needs
W Jing, Y Yan, I Kim, M Sarvi
Advances in Mechanical Engineering 8 (1), 1687814015627981, 2016
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Articles 1–20