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
International benchmarking of longitudinal train dynamics simulators: results
Abstract
This paper presents the results of the International Benchmarking of Longitudinal Train Dynamics Simulators which involved participation of nine simulators (TABLDSS, UM, CRE-LTS, TDEAS, PoliTo, TsDyn, CARS, BODYSIM and VOCO) from six countries. Longitudinal train dynamics results and computing time of four simulation cases are presented and compared. The results show that all simulators had basic agreement in simulations of locomotive forces, resistance forces and track gradients. The major differences among different simulators lie in the draft gear models. TABLDSS, UM, CRE-LTS, TDEAS, TsDyn and CARS had general agreement in terms of the in-train forces; minor differences exist as reflections of draft gear model variations. In-train force oscillations were observed in VOCO due to the introduction of wheel–rail contact. In-train force instabilities were sometimes observed in PoliTo and BODYSIM due to the velocity controlled transitional characteristics which could have generated unreasonable transitional stiffness. Regarding computing time per train operational second, the following list is in order of increasing computing speed: VOCO, TsDyn, PoliTO, CARS, BODYSIM, UM, TDEAS, CRE-LTS and TABLDSS (fastest); all simulators except VOCO, TsDyn and PoliTo achieved faster speeds than real-time simulations. Similarly, regarding computing time per integration step, the computing speeds in order are: CRE-LTS, VOCO, CARS, TsDyn, UM, TABLDSS and TDEAS (fastest).
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