Found 30 results
Filters: Author is Haris N. Koutsopoulos [Clear All Filters]
Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty. Transportation Research Part B: Methodological. 2023.
Ex-Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach. Transporation Science. 2022.
Identifying Hidden Visits from Sparse Call Detail Record Data. Transactions in Urban Data, Science, and Technology. 2022.
Impact of Unplanned Long-Term Service Disruptions on Urban Public Transit Systems. IEEE Open Journal of Intelligent Transportation Systems. 2022.
Inferring Passenger Responses to Urban Rail Disruptions Using Smart Card Data: A Probabilistic Framework. Transportation Research Part E. 2022.
Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card and Train Movement Data. Journal of Advanced Transportation. 2021.
Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach. IEEE Transactions on Intelligent Transportation Systems. 2021.
Predictive decision support platform and its application in crowding prediction and passenger information generation. Transportation Research Part C. 2021.
Automated Information Extraction From Textual Data: Application In Transit Disruption Management. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
Capacity-Constrained Network Performance Model for Urban Rail Systems. Transportation Research Record. 2020.
Discovering Latent Activity Patterns from Transit Smart Card Data: A Spatiotemporal Topic Model. Transportation Research Part C. 2020.
Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-resolution Spatio-Temporal Deep Learning Approach. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. 2020.
Unexpected Bus Operator Absence and Extraboard Scheduling – MBTA Case Study. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
Demand Management of Congested Public Transport Systems: A Conceptual Framework and Application Using Smart Card Data. Transportation. 2019.
Predictive decision support for real-time crowding prediction and information generation. In: Transportation Research Board 98th Annual Meeting. Washington, D.C.; 2019.
Detecting Changes in Individual Travel Behavior Patterns. In: Transportation Research Board 97th Annual Meeting. Washington, D.C.; 2018.
Detecting Pattern Changes in Individual Travel Behavior: A Bayesian Approach. Transportation Research Part B. 2018.
Discovering Latent Activity Patterns from Human Mobility. In: The 7th ACM SIGKDD International Workshop on Urban Computing (UrbComp’18).; 2018.
Individual mobility prediction using transit smart card data. Transportation Research Part C. 2018;89:19-34.
Real time transit demand prediction capturing station interactions and impact of special events. Transportation Research Part C. 2018.
Measuring Regularity of Individual Travel Patterns. IEEE Transactions on Intelligent Transportation Systems. 2017.
Mobility as A Language: Predicting Individual Mobility In Public Transportation Using N-Gram Models. In: Transportation Research Board 96th Annual Meeting.; 2017.