Omkar Parishwad
Omkar Parishwad is a PhD student in the Urban Mobility Systems' Research group. His research promotes sustainable mobility, focusing on renewable energy usage for Electric Vehicles using multimodal Agent-based model development, and planning using spatiotemporal optimization and machine learning algorithms.
Showing 7 publications
Prediction of State of Charge in Electric Buses Using Supervised Machine Learning Techniques
Shared e-scooter Usage Trends in a Swedish City: A Spatial Analysis
Prospects of the Activity-Based Modelling Approach: A Review of Sweden’s Transport Model- SAMPERS
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Showing 1 research projects
Electric Multimodal Transport Systems for Enhancing Urban Accessibility and Connectivity (eMATS)