Neema Nassir
Cited by
Cited by
Transit stop-level origin-destination estimation using transit schedule and automated data collection systems
N Nassir, A Khani, SG Lee, H Noh, M Hickman
Transportation Research Record 2263 (1), 140-150, 2011
Transit-oriented autonomous vehicle operation with integrated demand-supply interaction
J Wen, YX Chen, N Nassir, J Zhao
Transportation Research Part C: Emerging Technologies 97, 216-234, 2018
Activity detection and transfer identification for public transit fare card data
N Nassir, M Hickman, ZL Ma
Transportation 42, 683-705, 2015
A utility-based travel impedance measure for public transit network accessibility
N Nassir, M Hickman, A Malekzadeh, E Irannezhad
Transportation Research Part A: Policy and Practice 88, 26-39, 2016
A strategy-based recursive path choice model for public transit smart card data
N Nassir, M Hickman, ZL Ma
Transportation Research Part B: Methodological 126, 528-548, 2019
Park-and-ride lot choice model using random utility maximization and random regret minimization
B Sharma, M Hickman, N Nassir
Transportation, 1-16, 2017
Intermodal path algorithm for time-dependent auto network and scheduled transit service
A Khani, S Lee, M Hickman, H Noh, N Nassir
Transportation Research Record, 40-46, 2012
Choice set generation algorithm suitable for measuring route choice accessibility
N Nassir, J Ziebarth, E Sall, L Zorn
Transportation Research Record, 2014
Value of demand information in autonomous mobility-on-demand systems
J Wen, N Nassir, J Zhao
Transportation Research Part A: Policy and Practice 121, 346-359, 2019
Validating and calibrating a destination estimation algorithm for public transport smart card fare collection systems
L He, N Nassir, M Trépanier, M Hickman
CIRRELT 52, 1-11, 2015
Algorithm for intermodal optimal multidestination tour with dynamic travel times
N Nassir, A Khani, M Hickman, H Noh
Transportation research record 2283 (1), 57-66, 2012
A clustering method for measuring accessibility and equity in public transportation service: Case study of Melbourne
SS Mohri, S Mortazavi, N Nassir
Sustainable Cities and Society 74, 103241, 2021
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
Intelligent vehicle pedestrian light (IVPL): A deep reinforcement learning approach for traffic signal control
M Yazdani, M Sarvi, SA Bagloee, N Nassir, J Price, H Parineh
Transportation research part C: emerging technologies 149, 103991, 2023
A path marginal cost approximation algorithm for system optimal quasi-dynamic traffic assignment
H Tajtehranifard, A Bhaskar, N Nassir, MM Haque, E Chung
Transportation Research Part C: Emerging Technologies 88, 91-106, 2018
Statistical inference of transit passenger boarding strategies from Farecard Data
N Nassir, M Hickman, Z Ma
Transportation Research Record, 8-18, 2017
Modeling transit passenger choices of access stop
N Nassir, M Hickman, A Malekzadeh, E Irannezhad
Transportation Research Record 2493 (1), 70-77, 2015
Estimation of passengers left behind by trains in high-frequency transit service operating near capacity
E Miller, GE Sánchez-Martínez, N Nassir
Transportation Research Record 2672 (8), 497-504, 2018
Consideration of different travel strategies and choice set sizes in transit path choice modelling
MN Hassan, TH Rashidi, N Nassir
Transportation 48 (2), 723-746, 2021
Shared freight networks in metropolitan areas
RG Thompson, N Nassir, P Frauenfelder
Transportation Research Procedia 46, 204-211, 2020
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