A5101771888- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
- Traffic and Road Safety
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- Smart Parking Systems Research
- Evacuation and Crowd Dynamics
- Mobile Agent-Based Network Management
Beijing University of Technology
2013-2014
A green transportation system composed of transit, busses and bicycles could be a significant in alleviating traffic congestion. However, the inaccuracy current transit ridership forecasting methods is imposing negative impact on development urban systems. Traffic Analysis Zone (TAZ) delineating fundamental essential step forecasting, existing method four-step models have some problems reflecting travel characteristics transit. This paper aims to come up with Transit delineation as...
Weaving area may be the critical risk place in subway transfer station. When improving service level of weaving area, characteristic pedestrian behavior should systemically discussed. This paper described mechanism on high density which was analyzed by collection data controlled experiment. Different behaviors were contrasted due to different volumes bidirectional passageway. Video analysis conducted extract moving and calibrate movement with SIMI Motion. Influence studied based statistical...
Imagine there is a disruption in train 1 near Times Square metro station. You try to find an alternative subway route the JFK airport on Google Maps, but app fails provide suitable recommendation that takes into account and your preferences avoid crowded stations. We many such situations, current navigation apps may fall short fail give reasonable recommendation. To fill this gap, paper, we develop prototype, TraveLLM, plan routing of public transit face relies Large Language Models (LLMs)....
A congestion phenomenon in a transit station could lead to low transfer efficiency as well hidden danger. Effective management of shall help reduce the decline and danger risk. However, due difficulty acquiring microcosmic pedestrian density, existing researches lack quantitative indicators reflect degree. This paper aims solve this problem. Firstly, platform, stair, tunnel, auto fare collection (AFC) machine, security check machine were chosen key traffic facilities through large amounts...