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NAHVERKEHR
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Urban traffic flow online prediction based on multi-component attention mechanism
Mitigating the impact of light rail on urban traffic networks using mixed-integer linear programming
Hybrid strategy for traffic light detection by combining classical and self-learning detectors
Analysis of road travel behaviour based on big trajectory data
Mining the spatio-temporal pattern using matrix factorisation: a case study of traffic flow
Determining the appropriate lane width at urban signalised intersections – a case study in Beijing
Estimating urban traffic states using iterative refinement and Wardrop equilibria
Identifying activities and trips with GPS data
Combining weather condition data to predict traffic flow: a GRU-based deep learning approach
Measurement of dynamic vibration in cycling using portable terminal measurement system
Survey of connected automated vehicle perception mode: from autonomy to interaction
City-wide emissions modelling using fleet probe vehicles
Counting vehicles in urban traffic scenes using foreground time-spatial images