About this Research Topic
Various kinds of big data in the transportation sector provide a promising opportunity for transportation modelling and simulation. For example, the large-scale road network on-line transportation simulation comes true based on continuously updating network detection data. In addition, the penetration of automated vehicles in traffic flow will change various characteristics of traffic flow in the road network. Many studies about these topics have been published in the past decade, but there are still many issues that need to be answered and explored.
The goal of the Research Topic is to bring together innovative studies in the areas of traffic flow modelling, simulation, control, and management. Novel traffic flow models can be developed with various data sources from traffic detectors, including the recalibration of traffic flow parameters, the revisiting of car-following and lane-changing models, and investigating emerging traffic flow dynamics with the presence of automated vehicles. At the same time, various new data sources will overcome the lack of detailed data for traffic simulation, and innovative traffic simulation models can be derived from new data sources and developed specifically for automated vehicles. Traffic control strategies can also be improved with the data from connected vehicles, automated vehicles, and other new data sources.
We therefore welcome submissions of Original Research and Reviews on the following (but not limited to) topics:
- Transportation modelling based on big data
- Traffic flow modelling of automated vehicles
- Calibration of transportation models for automated vehicles
- Transportation simulation based on big data
- Traffic control modelling considering connected and automated vehicles
- Use of Big Data for traffic control
Keywords: Transportation Modelling, Transportation Simulation, Big Data, Traffic Control, Automated Vehicles
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.