Understanding and Guiding Pedestrian and Crowd Motion
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2020-04-24
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Edition:Final Research Report
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Abstract:Future transportation system is expected to be in a hybrid form instead of the basic road-vehicle-passenger relationship that is still very common in most transportation systems. That is to say, future transportation will cover additional scenarios and different types of vehicles with partial or full automation. A very representative example is the first-mile and last-mile transportation (FLT), which provides the service that cannot be achieved by traditional transportation system because of how the geometrical structures were designed in certain areas, for example, large squares, university campuses, and old small streets. This type of service can be achieved by vehicles of smaller size such as golf carts, mobility scooters, and electric wheelchairs. This is especially helpful for people with limited mobility. One essential challenge of developing the systems of FLT is to make it capable of avoiding pedestrians, as pedestrians are very common in such shared space scenarios and the interaction between the vehicle and pedestrians is almost unavoidable. This report focuses on the interactive pedestrian motion model, i.e., modeling, simulation, and application of multi-pedestrian interaction with vehicles. The authors modified the social force pedestrian motion model by explicitly designing different types of vehicle effect on pedestrian behavior, which are detailed in chapter 2. The authors also established a dataset that captures the trajectories of the vehicle and pedestrians in fundamental vehicle-crowd interaction scenarios , which is described in chapter 3. Using the established dataset, the calibration of the proposed model is demonstrated in chapter 4. A framework and several specific approaches to apply the proposed model into vehicle driving efficiency, along with several case studies of vehicle-pedestrian interaction are proposed in chapter 5. Conclusions and future works are discussed in chapter 6.
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