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Dynamic origin-destination demand flow estimation under congested traffic conditions
Chung-Cheng Lu
, Xuesong Zhou
*
, Kuilin Zhang
*
此作品的通信作者
運輸與物流管理學系
研究成果
:
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同行評審
92
引文 斯高帕斯(Scopus)
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Keyphrases
Adjustment Method
33%
Analytical Gradients
33%
Column Generation
33%
Congested Traffic Condition
100%
Congestion
66%
Dynamic Linkages
33%
Dynamic Network Loading
33%
Dynamic Origins
100%
Dynamic User Equilibrium
100%
Equilibrium Constraints
66%
Estimation Method
33%
Explicit Dynamics
33%
Flow Adjustment
33%
Flow Estimation
100%
Flow-based
33%
Function-based
33%
Gap Function
33%
General Network
33%
Gradient Formula
33%
Gradient Projection
33%
Heterogeneous Data Sources
33%
Kinematic Wave Theory
33%
Lagrangian Relaxation
33%
Link Density
33%
Link Flow
33%
Link Paths
33%
Loading Model
33%
Nonlinear Optimization Model
33%
Numerical Experiments
33%
Optimization Model
33%
Origin-destination Demand
100%
Origin-destination Estimation
33%
Origin-destination Flows
33%
Path Flow
100%
Projection-based
33%
Relaxation Algorithm
33%
Shock Wave Propagation
33%
Time Change
33%
Traffic Measurement
33%
Traffic State
33%
User Equilibrium Assignment
33%
Engineering
Flow Path
100%
Gap Function
33%
Illustrates
33%
Lagrangian Relaxation
33%
Nonlinear Optimization
33%
Numerical Experiment
33%
Objective Function
33%
Reformulation
33%
Target Path
33%