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基于周末活动的模型.pdf

上传人: c** 编号:464839 2025-01-12 33页 2.90MB

1、 2021 Bentley Systems,Incorporated 2022 Bentley Systems,IncorporatedWeekend ABMWeekend ABMPetya Maneva-PresenterProject TeamMAGVladimir LivshitsArup DuttaPetya ManevaDaehyun YouHaidong ZhuBentley SystemsPeter VovshaGaurav VyasMehedi HasnatShuguang HeWeekend travel modelingCan we model weekends?Trave

2、l modeling practices are largely limited to a regular weekday and attempts to develop a complete travel models for a weekend have been so far very rare Practical needs for modeling weekend travel for evaluation of certain projects and policies such as special events that frequently happen on weekend

3、s General modeling techniques and software platform are common between weekday and weekends,but there are important specifics of weekends to address This presentation describes a recent development of weekend ABM for the Maricopa Association of Governments(Phoenix,AZ),5M metropolitan regionFocused a

4、spects of weekend ABM developmentSystematic differences in travel behavior on weekends compared to weekdays and their reflection in the ABM What to adjust in the ABM,parameters or structure?Limited conventional data such as Household Travel Survey(HTS)available for weekends Rely on big data and traf

5、fic counts,but how to use them?Coordination of long-term choices between the weekday and weekend ABM Weekend travel model cannot be independentSystematic differences in travel behavior on weekends compared to weekdays and modeling approach All activity,tour,and trip types modeled for weekdays are re

6、levant for weekends Usual chain of ABM sub-models is applied Multiple differences in activity frequencies,schedules,trip length,mode preferences,etc.ABM captures many effects automatically through time-space constraining,intrahousehold interactions,and activity-supply inputs One of the primary input

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本文主要探讨了周末出行行为模型(ABM)的开发,以适应周末出行的特殊需求。文章指出,尽管出行建模实践主要集中在工作日,但周末出行行为的建模对于评估特定项目和政策(如周末频繁举行的大型活动)至关重要。作者详细介绍了在亚利桑那州马里科帕协会(Phoenix, AZ)进行的周末ABM开发,该模型考虑了周末与工作日出行行为的系统性差异,如活动频率、时间表、出行长度和交通方式偏好等。 关键数据包括: - 周末与工作日相比,出行模式存在显著差异,如周末购物和餐饮出行增加,而工作日上下班和陪护出行减少。 - 周末交通拥堵水平较低,公共交通服务受限,导致出行向自驾模式转移。 - 尽管常规数据(如家庭出行调查)对周末出行行为的了解有限,但通过整合“大数据”(如AirSage行程表)和交通计数,可以有效进行模型校准。 文章还提到了模型校准过程中的一些发现,例如,工作日和周末的某些长期选择(如工作地点和学校位置)对周末出行模式有重要影响。此外,文章强调了在周末ABM中,通过时间-空间约束、家庭内部互动和活动供应输入,可以捕捉到许多效应。 总体而言,文章表明通过适当的参数调整,周末ABM可以有效地从工作日ABM中分离出来,利用现有软件进行相对小的改动即可实现。同时,新的校准技术可以利用可用的“大数据”和交通计数,弥补周末出行数据的不足。
我们能建模吗?" 如何调整参数与结构?" 新的建模方法?"
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