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Integration Of Ab Models And Microsimulation Models

机译:Ab模型和微观仿真模型的集成

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摘要

Both activity-based (AB) models on the demand side and traffic microsimulation (TM) models on the supply side have been intensively developed as an alternative to traditional 4-step aggregate models that are based on static assignment procedures. AB models are based on microsimulation of individual behavior in terms of activities and trips undertaken during the day. TM models deal with individual vehicles' behaviour in the highway network. In both cases, moving from aggregate into disaggregate framework ensures a better behavioural realism and avoids aggregation biases. AB and TM Models are compatible in terms of temporal resolution. Advanced AB models today operate with 30 min intervals in terms of activity and trip schedules. TM models operate with even finer temporal resolution in terms of demand slices. Traditional 4-step models operate with broad 3-4-hour time-of-day periods and cannot provide an input to TM models with the necessary level of temporal detail. In the same vein, conventional static assignment represents a very problematic counter-partner for an AB model with a limited functionality. In particular, it has been recognised that travel times generated by static assignment under congestion' conditions are very crude since they do not account for queuing as well as for dynamic time-dependent effects.
机译:需求侧的基于活动的(AB)模型和供应侧的交通微仿真(TM)模型已被大量开发,以替代基于静态分配程序的传统4步聚合模型。 AB模型基于个人行为的微观模拟,包括白天的活动和出行。 TM模型处理高速公路网络中单个车辆的行为。在这两种情况下,从汇总框架过渡到分解框架都可以确保更好的行为现实主义并避免聚合偏差。 AB和TM模型在时间分辨率方面兼容。如今,先进的AB模型在活动和行程计划方面每隔30分钟运行一次。 TM模型在需求切片方面以更高的时间分辨率运行。传统的4步模型需要3到4个小时的宽泛时段,因此无法为TM模型提供必要水平的时间细节。同样,对于功能有限的AB模型,常规静态分配代表了一个非常成问题的反向伙伴。特别地,已经认识到在拥塞情况下由静态分配产生的旅行时间是非常粗糙的,因为它们不考虑排队以及动态时间相关的影响。

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