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Recommendations. SEMCOG Travel Model Improvement Program. 12-Dec-2011. Donnelly, Davidson, Binkowksi & Arens. Goals. Needs driven. Best practice, defensible, credible. Data, resources. Life-cycle view, incremental. Evolutionary, compatible. Responsive Current Attainable Agile
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Recommendations SEMCOG Travel Model Improvement Program 12-Dec-2011 Donnelly, Davidson, Binkowksi & Arens
Goals Needs driven Best practice, defensible, credible Data, resources Life-cycle view, incremental Evolutionary, compatible Responsive Current Attainable Agile Extensible
PB’s vision Megascope Macroscope Mesoscope Microscope Economic triggers for freight flows Multimodal person and freight tours Time-sliced demand by mode Dynamic traffic assignment to planning network Regional model of economic, trade, and land use trends Activity or tour-based microsimulation of person and freight travel Detailed traffic analysis of key facilities and corridors Transport costs and reliability Congestion indices, link and node delay Aggregate costs and accessibilities MDOT statewide model SEMCOG Ax model Ad hoc model(s)
An alternative E6/7 model
Another alternative Source: Michael Batty, University College London
Over the horizon Inductive and deductive Generative / AI Utility maximization Estimation Travel data Theory Cross-sectional Neural networks Pattern recognition Passive data Trends Time series Objects Embedded data Linear / monolithic Agents Distributed databases Concurrent (parallel, distributed)
Dynamic traffic assignment to planning network Regional model of economic, trade, and land use trends Activity or tour-based microsimulation of person and freight travel Detailed traffic analysis of key facilities and corridors Multi-scale travel modeling Megascope Macroscope Mesoscope Microscope Economic triggers for freight flows Multimodal person and freight tours Time-sliced demand by mode Transport costs and reliability Congestion indices, link and node delay Aggregate costs and accessibilities Microsimulation or GIS-based land use model(s) Location choices Aggregate costs and accessibilities
Trips versus tours Households & firms Aggregate (zonal) attributes Trip generation Long term choices Daily tour generation Trip distribution Temporal allocation Primary location & mode Temporal allocation Intermediate stop(s) Mode choice Trip mode choice Networkdata Traffic assignment Traffic assignment
Getting there from here Responsive Current Attainable Agile Extensible • Incremental • Shared components • Travel behavior data (surveys, …) • Networks • Target and validation data • Etc. • Coincides with staff development • Fully operational models at each stage
Advantages Deeper insight Get dynamics right DTA linkage more straight-forward Eliminate NHB trips Excels for equity and pricing studies Analogous to 100 percent travel survey
Advantages Enables robust tactical solutions Get dynamics right DTA linkage more straight-forward
Transition strategy: data programs Traditional Innovative
In a nutshell Finish E series Phased transition to AB models f import & calibrate Phased transition to regional DTA model Ad hoc traffic microsimulation New, overhauled data programs g models, reporting Comparable investment in wetware required