| 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 | 179 | 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 | 169 | 2018 |
| 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 | 139 | 2016 |
| Activity detection and transfer identification for public transit fare card data N Nassir, M Hickman, ZL Ma Transportation 42, 683-705, 2015 | 137 | 2015 |
| 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 | 65 | 2019 |
| 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 | 52 | 2023 |
| Park-and-ride lot choice model using random utility maximization and random regret minimization B Sharma, M Hickman, N Nassir Transportation, 1-16, 2017 | 47 | 2017 |
| Crowdshipping for sustainable urban logistics: A systematic review of the literature SS Mohri, H Ghaderi, N Nassir, RG Thompson Transportation Research Part E: Logistics and Transportation Review 178, 103289, 2023 | 41 | 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 35 (7), 6548-6560, 2022 | 40 | 2022 |
| 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 | 40 | 2012 |
| 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 | 37 | 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 | 36 | 2015 |
| 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 | 35 | 2021 |
| Choice set generation algorithm suitable for measuring route choice accessibility N Nassir, J Ziebarth, E Sall, L Zorn Transportation Research Record, 2014 | 35 | 2014 |
| 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 | 28 | 2012 |
| 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 | 22 | 2018 |
| Statistical inference of transit passenger boarding strategies from Farecard Data N Nassir, M Hickman, Z Ma Transportation Research Record, 8-18, 2017 | 21 | 2017 |
| Modeling transit passenger choices of access stop N Nassir, M Hickman, A Malekzadeh, E Irannezhad Transportation Research Record 2493 (1), 70-77, 2015 | 20 | 2015 |
| Shared freight networks in metropolitan areas RG Thompson, N Nassir, P Frauenfelder Transportation Research Procedia 46, 204-211, 2020 | 19 | 2020 |
| 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 | 17 | 2021 |
Mark HickmanThe University of Queensland確認したメール アドレス: uq.edu.au