Gothenburg
SE-412 96 Goteborg
Sweden
Division of Geology and Geotechnics
COVID-19, transport activities, contagion spreading, transport networks, multimodal transportation, optimization, travel demand, mode shift
Shared micromobility, Demand pattern analysis, Spatial analysis, Spatial regression, Nonlinearity, Machine learning
Renewable energy, Charging infrastructure, charging scheduling, power distribution networks, Benders decomposition
Integrated and Agent-Based Charging Demand Prediction Considering Cost-Aware and Adaptive Charging Behavior
Electromobility, Agent-Based Modeling, Matsim, Future Charging Demand, Dynamic Pricing, Charging Behavior
Crash severity, Nonlinear effect, Interactive effects, Unbalanced crash data, Interpretable machine learning method
traffic engineering, connected electric bus scheduling, mixed integer linear programming, arterial signal coordination coordination, static wireless charging
Traffic crash frequency, Spatial machine learning, Spatial heterogeneity, Interpretability
Electric Transport, Charging Infrastructure, Battery Energy Scheduling, Renewable Energy, Demand Redirection, Large Scale Optimization
Adaptive Signal Control, Cyclical Phase Structure, Max-Pressure Control, Input Rate Allocation, Time-Varying Intersection Capacity
Ride-sharing, Delayed matching, Walking mechanism, Multi-agent reinforcement learning, Graph-based optimization
Battery electric bus, Shared charging, Solar photovoltaic, Charging infrastructure and scheduling, Bi-level programming.
Battery electric bus, Active distribution network, Coupled transportation and power networks, Demand response, Stochastic programming.
Electric Transport, Active distribution network, Coupled Transportation and Power Networks, Electrified Road Systems, Stochastic Programming
Ride-hailing, Electric vehicle, Carbon emission, Grid emission factor
Traffic state prediction, Contrastive learning, Transformer, Soft clustering, Fundamental diagram
