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Peyman Noursalehi
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Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-Resolution Spatio-Temporal Deep Learning Approach
P Noursalehi, HN Koutsopoulos, J Zhao
IEEE Transactions on Intelligent Transportation Systems, 2021
662021
Real time transit demand prediction capturing station interactions and impact of special events
P Noursalehi, HN Koutsopoulos, J Zhao
Transportation Research Part C: Emerging Technologies 97, 277-300, 2018
632018
Transit data analytics for planning, monitoring, control, and information
HN Koutsopoulos, Z Ma, P Noursalehi, Y Zhu
Mobility patterns, big data and transport analytics, 229-261, 2019
502019
Predictive decision support platform and its application in crowding prediction and passenger information generation
P Noursalehi, HN Koutsopoulos, J Zhao
Transportation Research Part C: Emerging Technologies 129, 103139, 2021
27*2021
Automated data in transit: Recent developments and applications
HN Koutsopoulos, P Noursalehi, Y Zhu, NHM Wilson
2017 5th IEEE international conference on models and technologies for …, 2017
232017
Decision support platform for urban rail systems: real-time crowding prediction and information generation
P Noursalehi
Northeastern University, 2017
92017
Dissolving the segmentation of a shared mobility market: A framework and four market structure designs
X Guo, A Qu, H Zhang, P Noursalehi, J Zhao
Transportation Research Part C: Emerging Technologies 157, 104397, 2023
6*2023
Evaluating the Connectivity of a Bicycling Network
PG Furth, P Noursalehi
Transportation Research Board 94th Annual Meeting, 2015
42015
A Greenway Network Vision for Metro Boston
PG Furth, D Loutzenheiser, S Miller, P Noursalehi
Proceedings of the Fábos Conference on Landscape and Greenway Planning 4 (1), 43, 2013
42013
Machine-learning-augmented analysis of textual data: application in transit disruption management
P Noursalehi, HN Koutsopoulos, J Zhao
IEEE Open Journal of Intelligent Transportation Systems, 2020
22020
Modeling virus transmission risks in commuting with emerging mobility services: A case study of COVID-19
B Mo, P Noursalehi, HN Koutsopoulos, J Zhao
Travel Behaviour and Society 34, 100689, 2024
12024
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