Traffic COngestion pattern classification using multi-class SVM. - Hong Nam Nguyen; Panchamy Krishnakumari; Hai Le Vu; Hans van Lint (ITSC, 2016)

Understanding Network Traffic States using Transfer Learning. - Panchamy Krishnakumari; Alan Perotti; Viviana Pinto; Oded Cats; Hans van Lint (ITSC, 2018)

Exploring Demand Patterns of a Ride-Sourcing Service using Spatial and Temporal Clustering. - Theo L. K. Liu; Panchamy Krishnakumari; Oded Cats (MT-ITS, 2019)

Heuristic Coarsening for Generating Multiscale Transport Networks. - Panchamy Krishnakumari; Oded Cats; Hans van Lint (IEEE Trans. Intell. Transp. Syst., 2020)

Multiscale Pattern Recognition of Transport Network Dynamics and its Applications: A bird's eye view on transport. - Panchamy Krishnakumari (2020)

Day-to-day and seasonal regularity of network passenger delay for metro networks. - Panchamy Krishnakumari; Oded Cats; Hans van Lint (CoRR, 2021)

A Data-Driven Integrated Framework for Fast-Charging Facility Planning Using Multi-Period Bi-Objective Optimization. - Mingjia He; Panchamy Krishnakumari; Ding Luo; Jiaqi Chen (ITSC, 2023)

Exploring and Enriching the Effect of Different Road Incidents on Traffic Spatiotemporal Characteristics. - Mahsa Movaghar; Saman Behrouzi; Panchamy Krishnakumari; Serge P. Hoogendoorn; Hans van Lint (ITSC, 2023)

A Data Protection Method for Short-Term Traffic Prediction with Applications to Network Active Mode Operations. - Xiamei Wen; Panchamy Krishnakumari; Serge P. Hoogendoorn (ITSC, 2023)

Augmenting Ridership Data with Social Media Data to Analyse the Long-term Effect of COVID-19 on Public Transport. - Yanyan Xu; Panchamy Krishnakumari; Neil Yorke-Smith; Serge P. Hoogendoorn (MT-ITS, 2023)

Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events. - Panchamy Krishnakumari; Sascha Hoogendoorn-Lanser; Jeroen Steenbakkers; Serge P. Hoogendoorn (CoRR, 2023)

A data-driven approach to predict decision point choice during normal and evacuation wayfinding in multi-story buildings. - Yan Feng; Panchamy Krishnakumari (CoRR, 2023)

A causal discovery approach to study key mixed traffic-related factors and age of highway affecting raveling. - Zili Wang; Panchamy Krishnakumari; Kumar Anupam; Hans van Lint; Sandra Erkens (Comput. Aided Civ. Infrastructure Eng., 2024)

Evaluating Crowd Flow Forecasting Algorithms for Indoor Pedestrian Spaces: A Benchmark Using a Synthetic Dataset. - Weiming Mai; Dorine Duives; Panchamy Krishnakumari; Serge P. Hoogendoorn (IEEE Trans. Intell. Transp. Syst., 2025)