从延迟测量到能源和排放性能：使用基于流体队列的交叉分辨率框架连接BPR和MOVES.pdf

1、From Delay Measure to Energy and Emissions Performance:Linking BPR with MOVES using Fluid-Queue Based Cross-Resolution FrameworkPresented by:Mohammad Abbasi,Ph.D.Arizona State UniversityAuthors Arizona State University Mohammad Abbasi Xuesong(Simon)ZhouConference on Innovations in Travel Analysis an

2、d Planning Acknowledgement H.Christopher Frey and Nagui RouphailMotivations1.How to develop a unified modeling structure to seamlessly integrate traditionalstatistical inference models and new machine learning techniques?2.How to adapt automatic differentiation methods(which are building blocks ofML

3、)to greatly enhance the computational efficiency of large-scale econometricmodel estimation to better uncover complex behavioral parameters and latentvariables?3.How to theoretically define the consistency of transportation demand-side andtraffic supply-side models,while providing numerically stable

4、 solutionsconsistent with multi-data sources from real-world systems?Conference on Innovations in Travel Analysis and PlanningOutlineConference on Innovations in Travel Analysis and PlanningI.IntroductionII.Fundamental challenges in transportation planning and flow-based control in the modern eraIII

5、.Revitalizing old models with new tricksIV.Case studiesV.Future directionsVI.ConclusionBrief overview of the importance of volume-delay functions(VDFs)in transportation planningConference on Innovations in Travel Analysis and Planning average travel times are usually modeled as positive,nonlinear,an

6、d strictly increasing functions of flow volumes,or more precisely,a volume-to-capacity ratio(V/C).In standard static traffic assignments(STAs)free-flow travel time and the practical capacity of the link.Basic parameters Spiess(1990),Davidson(1966,1978),and Akcelik(1978,1991)based on considerations o