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基于活动模型的敏感性测试.pdf

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1、Sensitivity Testing of Activity-Based ModelsTRB Innovation in Travel Analysis and PlanningIndianapolis,IndianaJune 5,2023Presented by Andrew Rohne2Introduction Testing of model scenarios during implementation of activity-based models(ABM)Part of ActivitySim Implementation Projects Metropolitan Washi

2、ngton COG(MWCOG)Washington,DC Metropolitan CouncilMinneapolis-St.Paul,Minnesota Southeast Michigan COG(SEMCOG)Detroit,MichiganWhy?Testing fidelity of these models Testing and calibrating sensitivity of the model Understanding the model Model training Testing model features3General Test LogisticsTest

3、 mid-late in calibrationCalibrate sensitivity of the modelTest needs to be specific A-B test“A”is the base scenario“B”is limited changes to that base scenarioDocumentation and discussion is criticalTest methods “what,why,how”Comparison of expected outcomes(vague)and model outcomes(specific)Discussio

4、n of impactIs the model response“in the range of expectation”?Model Status4SEMCOGMWCOGMetropolitan CouncilPlatformTransCAD+ActivitySimCube+ActivitySimCube+ActivitySimStatusModel CompletedSome testing remainsPhase 2(full calibration)nearing completionPhase 2 starting soonFirst ABMFirst ABMReplacement

5、 ABM4.8 million people2,811 TAZ/28,637 MAZ4,600 square mi7.2 million people3,669 zones(internal)6,919 square mi3.6 million people3,030 zones(internal)10,190 square miSensitivity Tests5MWCOGPhase 1Metropolitan CouncilPhase 1SEMCOGBehavioral Telecommute FrequencyAuto Operating CostToll RatesTelecommut

6、e FrequencyAuto Operating CostTNC PricingHousehold IncomeNetworkBridge ClosureTransit FrequencyNew Transit ServiceNew Transit ServiceTelecommute Frequency Sensitivity Tests6RegionMWCOGMetropolitan CouncilTestIncreased telecommute for workers that work in DC by 50%Increased telecommute regionally by

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本文主要介绍了基于活动的模型(Activity-Based Models, ABM)的敏感性测试,该测试在实施ABM模型过程中至关重要。文中提到了多个ABM模型测试案例,包括在美国不同城市进行的交通规划测试。测试旨在验证模型的准确性、校准模型的敏感性、理解模型的工作原理,并测试模型功能。 关键数据包括: 1. 三个测试区域的人口和交通区域数据,例如:MWCOG(4.8百万人口)、Metropolitan Council(7.2百万人口)。 2. 敏感性测试涵盖的因素,如:Telecommute Frequency(远程工作频率)、Auto Operating Cost(汽车运营成本)、Toll Rates(过路费率)、Transit Frequency(公共交通频率)等。 3. 测试结果表明,模型对某些因素的响应符合预期,例如网络测试、基于收入的测试(如TNC定价和Woodward Ave的收入调整)。 4. 两个测试导致模型调整:MWCOG的远程工作频率测试和过路费率测试。 总结来说,文章强调了敏感性测试在活动导向模型实施中的重要性,并通过具体案例展示了如何评估和校准这些复杂的交通分析模型。
"ABM模型测试中的敏感性分析如何进行?" "是什么原因导致MWCOG和Metropolitan Council的模型测试中出现了意外结果?" "如何通过敏感性测试结果来改进和优化活动基础模型(ABM)?"
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