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
Efficient Computation of User Optimal Traffic Assignment via Second-Order Cone and Linear Programming Techniques
Abstract
Static traffic assignment aims to disclose the spatial distribution of vehicular flow over a transportation network subject to given traffic demands, and plays an essential role in transportation engineering. User-optimal pattern adheres the individual rationality of motorists, in which everyone chooses a route that minimizes his own travel cost, while considering congestion effects influenced by the aggregated movement of vehicles. User optimal traffic assignment, which is also known as the user equilibrium, entails solving an optimization problem with a strictly convex objective function and linear constraints. However, the performances of general-purpose solvers are quite disappointing. This paper proposes two highly efficient computation models for the user equilibrium problem. The first one exploits the second-order cone reformulation of a convex power function, resulting in a second-order cone program, and no approximation is incurred. The second one approximates the convex objective function using a piece-wise linear function, and comes down to a linear program. An adaptive path generation oracle is devised in order to circumvent path enumeration in problem setup. Case studies demonstrate that the proposed method can deal with large-scale transportation systems, and outperforms the most popular iterative algorithm in the literature.
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