Seyedehsan Seyedabrishami
Seyedehsan Seyedabrishami
Associate Professor of Transportation Engineering, Tarbiat Modares University
Verified email at - Homepage
Cited by
Cited by
Identifying psychological and socio-economic factors affecting motorcycle helmet use
MQ Haqverdi, S Seyedabrishami, JA Groeger
Accident Analysis & Prevention 85, 102-110, 2015
Impact of carpooling on fuel saving in urban transportation: case study of Tehran
S Seyedabrishami, A Mamdoohi, A Barzegar, S Hasanpour
Procedia-Social and Behavioral Sciences 54, 323-331, 2012
A fuzzy traffic assignment algorithm based on driver perceived travel time of network links
H Ramazani, Y Shafahi, SE Seyedabrishami
Scientia Iranica 18 (2), 190-197, 2011
A shortest path problem in an urban transportation network based on driver perceived travel time
Y Shafahi, H Ramazani, SE Seyedabrishami
Scientia Iranica 17 (4), 2010
Estimating time-dependent origin–destination demand from traffic counts: extended gradient method
M Shafiei, M Nazemi, S Seyedabrishami
Transportation Letters 7 (4), 210-218, 2015
Expert knowledge-guided travel demand estimation: Neuro-fuzzy approach
S Seyedabrishami, Y Shafahi
Journal of Intelligent Transportation Systems 15 (1), 13-27, 2011
Car ownership: A joint model for number of cars and fuel types
S Seyedabrishami, AR Izadi, HS Rayaprolu, R Moeckel
Transportation Research Procedia 41, 2019
Fuzzy trip distribution models for discretionary trips
Y Shafahi, SM Nourbakhsh, S Seyedabrishami
2008 11th International IEEE Conference on Intelligent Transportation …, 2008
A joint model of destination and mode choice for urban trips: a disaggregate approach
S Seyedabrishami, Y Shafahi
Transportation Planning and Technology 36 (8), 703-721, 2013
A novel train rescheduling approach in double-track railways: optimization model and solution method based on simulated annealing algorithm
M Tamannaei, M Saffarzadeh, A Jamili, S Seyedabrishami
International Journal of Civil Engineering 14 (3), 139-150, 2016
A double-track train rescheduling for incident conditions: optimisation model and decomposition method
M Tamannaei, M Saffarzadeh, A Jamili, S Seyedabrishami
International Journal of Operational Research 26 (1), 62-87, 2016
A copula-based joint model to capture the interaction between mode and departure time choices in urban trips
S Seyedabrishami, AR Izadi
Transportation Research Procedia 41, 722-730, 2019
A path-based greedy algorithm for multi-objective transit routes design with elastic demand
A Zarrinmehr, M Saffarzadeh, S Seyedabrishami, YM Nie
Public Transport 8 (2), 261-293, 2016
A direct demand model of departure time and mode for intercity passenger trips
F Nazari, S Seyedabrishami, AR Mamdoohi
International Journal of Transportation Engineering 3 (2), 125, 2015
Evaluating the Willingness to pay for urban congestion priced zones (case study of Tehran)
B Mirbaha, M Saffarzadeh, SE Seyed Abrishami, A Pirdavani
International Journal of Transportation Engineering 1 (3), 199-210, 2014
A local search algorithm for finding optimal transit routes configuration with elastic demand
A Zarrinmehr, M Saffarzadeh, S Seyedabrishami
International Transactions in Operational Research 25 (5), 1491-1514, 2018
Identification of hazardous situations using Kernel density estimation method based on time to collision, case study: Left-turn on unsignalized intersection
AM Boroujerdian, A Karimi, S Seyedabrishami
International Journal of Transportation Engineering 1 (4), 223-240, 2014
The interaction between activity choice and duration: Application of copula-based and nested-logit models
F Jafari Shahdani, A Rasaizadi, S Seyedabrishami
Scientia Iranica 28 (4), 2037-2052, 2021
Traffic management via traffic parameters prediction by using machine learning algorithms
A Rasaizadi, A Ardestani, SE Seyedabrishami
International Journal of Human Capital in Urban Management 6 (1), 57-68, 2021
Surveillance camera location problem for route-flow observation in urban transportation networks: bi-level formulation and solution algorithm
A Zarrinmehr, M Meshkani, S Seyedabrishami
International Journal of Systems Science: Operations & Logistics 5 (4), 327-338, 2018
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