Panchamy Krishnakumari

17 papers Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dynamic Spatial-Temporal Graph Convolutional Neural Networks Approach for Active Mode Traffic Prediction.
IEEE Trans. Intell. Transp. Syst.
Xiamei Wen, Panchamy Krishnakumari, Serge P. Hoogendoorn
2025 J jnl
Evaluating Crowd Flow Forecasting Algorithms for Indoor Pedestrian Spaces: A Benchmark Using a Synthetic Dataset.
IEEE Trans. Intell. Transp. Syst.
Weiming Mai, Dorine Duives, Panchamy Krishnakumari, Serge P. Hoogendoorn
2025 J jnl
The Role of Spatial Features and Adjacency in Data-Driven Short-Term Prediction of Trip Production: An Exploratory Study in The Netherlands.
IEEE Trans. Intell. Transp. Syst.
Zahra Eftekhar, Saman Behrouzi, Panchamy Krishnakumari, Adam J. Pel, Hans van Lint
2024 J jnl
A causal discovery approach to study key mixed traffic-related factors and age of highway affecting raveling.
Comput. Aided Civ. Infrastructure Eng.
Zili Wang, Panchamy Krishnakumari, Kumar Anupam, Hans van Lint, Sandra Erkens
2023 — conf
A Data Protection Method for Short-Term Traffic Prediction with Applications to Network Active Mode Operations.
ITSC
Xiamei Wen, Panchamy Krishnakumari, Serge P. Hoogendoorn
2023 — conf
A Data-Driven Integrated Framework for Fast-Charging Facility Planning Using Multi-Period Bi-Objective Optimization.
ITSC
Mingjia He, Panchamy Krishnakumari, Ding Luo, Jiaqi Chen
2023 J jnl
A Data-Driven Integrated Framework for Fast-Charging Facility Planning using Multi-Period Bi-Objective Optimization.
CoRR
Mingjia He, Panchamy Krishnakumari, Ding Luo, Jiaqi Chen
2023 J jnl
A data-driven approach to predict decision point choice during normal and evacuation wayfinding in multi-story buildings.
CoRR
Yan Feng, Panchamy Krishnakumari
2023 — conf
Augmenting Ridership Data with Social Media Data to Analyse the Long-term Effect of COVID-19 on Public Transport.
MT-ITS
Yanyan Xu, Panchamy Krishnakumari, Neil Yorke-Smith, Serge P. Hoogendoorn
2023 J jnl
Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events.
CoRR
Panchamy Krishnakumari, Sascha Hoogendoorn-Lanser, Jeroen Steenbakkers, Serge P. Hoogendoorn
2023 — conf
Exploring and Enriching the Effect of Different Road Incidents on Traffic Spatiotemporal Characteristics.
ITSC
Mahsa Movaghar, Saman Behrouzi, Panchamy Krishnakumari, Serge P. Hoogendoorn, Hans van Lint
2021 J jnl
Day-to-day and seasonal regularity of network passenger delay for metro networks.
CoRR
Panchamy Krishnakumari, Oded Cats, Hans van Lint
2020 J jnl
Heuristic Coarsening for Generating Multiscale Transport Networks.
IEEE Trans. Intell. Transp. Syst.
Panchamy Krishnakumari, Oded Cats, Hans van Lint
2020 — —
Multiscale Pattern Recognition of Transport Network Dynamics and its Applications: A bird's eye view on transport.
Panchamy Krishnakumari
2019 — conf
Exploring Demand Patterns of a Ride-Sourcing Service using Spatial and Temporal Clustering.
MT-ITS
Theo L. K. Liu, Panchamy Krishnakumari, Oded Cats
2018 — conf
Understanding Network Traffic States using Transfer Learning.
ITSC
Panchamy Krishnakumari, Alan Perotti, Viviana Pinto, Oded Cats, Hans van Lint
2016 — conf
Traffic COngestion pattern classification using multi-class SVM.
ITSC
Hong Nam Nguyen, Panchamy Krishnakumari, Hai Le Vu, Hans van Lint