230.548 People
Wei, Wei
in Cooperation with on an Cooperation-Score of 37%
Topics
- perception
- behavior
- bicycle
- parking
- occupation
- government
- traffic congestion
- monitoring
- data
- case study
- transport demand
- urban transportation
- road network
- foundation
- traffic management
- highway traffic control
- traffic manager
- traffic monitoring system
- autocorrelation
- advanced traffic management system
- electric vehicle
- scheduling
- pricing
- personal vehicle sharing
- electric vehicle charging
- commercial building
- simulation
- safety
- high speed ground transportation
- railroad train
- train consist
- customer
- rural area
- multi-agent system
- customer satisfaction
- virtual coupling
- planning
- road
- modeling
- traffic
- charging station
- protection
- warehousing
- incentive
- wind
- survey
- climate change
- electric power transmission
- solar power generation
- electrical engineering
- publicity
- vehicle
- traffic assignment
- optimization
- bottleneck
- constraint
- travel cost
- linear programming
- cone
- transportation engineering
- iterative algorithm
- automobile
- reliability
- velocity
- railroad track
- resistance
- mechanical engineering
- consensus
- locomotive
- stiffness
- reflection
- automotive engineering
- assessment
- decision making
- head
- pedestrian
- pedestrian safety
- prevention
- traffic lane
- crosswalk
- gap acceptance
- aircraft
- forecasting model
- aviation
- airline
- mining
- aircraft material
- show 57 more
Publications
- 2022Examining the Influence of Moral Norms on Dockless Shared Bicycle Users’ Parking Behavior—An Exploratory Study Based on the Theory of Planned Behavior
- 2020Spatio-Temporal Autocorrelation-Based Clustering Analysis for Traffic Condition: A Case Study of Road Network in Beijingcitations
- 2019Optimal Service Pricing and Charging Scheduling of an Electric Vehicle Sharing Systemcitations
- 2019Transactive Real-time Electric Vehicle Charging Management for Commercial Buildings with PV On-site Generationcitations
- 2019Coordinated Control Method of Virtually Coupled Train Formation Based on Multi Agent Systemcitations
- 2019Interdependence between transportation system and power distribution system : a comprehensive review on models and applicationscitations
- 2019Efficient Computation of User Optimal Traffic Assignment via Second-Order Cone and Linear Programming Techniquescitations
- 2018International benchmarking of longitudinal train dynamics simulators: resultscitations
- 2017Simulation of Pedestrian Crossing Behaviors at Unmarked Roadways Based on Social Force Modelcitations
- 2017Application of evaluation of aircraft material demand forecasting method and mining of association rulescitations
Places of action
article
Simulation of Pedestrian Crossing Behaviors at Unmarked Roadways Based on Social Force Model
Abstract
Limited pedestrian microcosmic simulation models focus on the interactions between pedestrians and vehicles at unmarked roadways. Pedestrians tend to head to the destinations directly through the shortest path. So, pedestrians have inclined trajectories pointing destinations. Few simulation models have been established to describe the mechanisms underlying the inclined trajectories when pedestrians cross unmarked roadways. To overcome these shortcomings, achieve solutions for optimal design features before implementation, and help to make the design more rational, the paper establishes a modified social force model for interactions between pedestrians and vehicles at unmarked roadways. To achieve this goal, stop/go decision-making model based on gap acceptance theory and conflict avoidance models were developed to make social force model more appropriate in simulating pedestrian crossing behaviors at unmarked roadways. The extended model enables the understanding and judgment ability of pedestrians about the traffic environment and guides pedestrians to take the best behavior to avoid conflict and keep themselves safe. The comparison results of observed pedestrians’ trajectories and simulated pedestrians’ trajectories at one unmarked roadway indicate that the proposed model can be used to simulate pedestrian crossing behaviors at unmarked roadways effectively. The proposed model can be used to explore pedestrians’ trajectories variation at unmarked roadways and improve pedestrian safety facilities.
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