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981.
Traffic microsimulation models normally include a large number of parameters that must be calibrated before the model can
be used as a tool for prediction. A wave of methodologies for calibrating such models has been recently proposed in the literature,
but there have been no attempts to identify general calibration principles based on their collective experience. The current
paper attempts to guide traffic analysts through the basic requirements of the calibration of microsimulation models. Among
the issues discussed here are underlying assumptions of the calibration process, the scope of the calibration problem, formulation
and automation, measuring goodness-of-fit, and the need for repeated model runs.
Yaron Hollander is a transport analyst, working for Steer Davies Gleave in London. His work combines advanced demand modelling, Stated Preference, appraisal, design of public transport systems, transport policy and network modelling. He completed his PhD at the Institute for Transport Studies in Leeds, and previously worked for the Technion – Israel Institute for Technology; for the Israeli Institute for Transportation Planning and Research; and for the public transport department at Ayalon Highways Co. Ronghui Liu is a Senior Research Fellow at the Institute for Transport Studies, University of Leeds. Her main research interests are modelling of traffic and microsimulation of driver behaviour and dynamical systems. She develops and applies network microsimulation models to a wide range of areas from transport policy instruments such as road pricing, to public transport operations and traffic signal controls. 相似文献
Ronghui LiuEmail: |
Yaron Hollander is a transport analyst, working for Steer Davies Gleave in London. His work combines advanced demand modelling, Stated Preference, appraisal, design of public transport systems, transport policy and network modelling. He completed his PhD at the Institute for Transport Studies in Leeds, and previously worked for the Technion – Israel Institute for Technology; for the Israeli Institute for Transportation Planning and Research; and for the public transport department at Ayalon Highways Co. Ronghui Liu is a Senior Research Fellow at the Institute for Transport Studies, University of Leeds. Her main research interests are modelling of traffic and microsimulation of driver behaviour and dynamical systems. She develops and applies network microsimulation models to a wide range of areas from transport policy instruments such as road pricing, to public transport operations and traffic signal controls. 相似文献
982.
983.
胡永举 《交通运输工程与信息学报》2008,6(1):6-10
本文运用交通流理论、概率统计理论和噪声传播理论对高速公路交通噪声与交通流运行状态之间的关系进行研究,分析了高速公路交通噪声的传播规律,提出了通过交通噪声测量检测高速公路交通流状态的试验方法和参数设置原则,并通过试验具体分析了交通噪声与交通流之间的相关关系。 相似文献
984.
佛山市禅城区公交TC改革难点初探 总被引:2,自引:1,他引:1
佛山市政府为建设资源节约型、环境友好型城市,解决交通拥堵、尾气污染、能源消耗等问题,以禅城区为试点。推行国内首个“交通共同体”(简称“TC”)。韩国首都首尔的公交系统改革便是一个类似佛山市TC模式的经典案例。它为首尔公交的发展带来了可喜的宝贵经验。
面对TC模式,它在佛山市禅城区启动的前期与现实的公交运营之间的变革,面临着一些必须面对的现实难题,笔者试图理性地提出问题,为更好更健康地推行公交共同体进行思考,在其实施的过程中以科学发展的观点进行现实论证,为各地公交发展及变革做先行一步的试验,希望从中可以得到借鉴。 相似文献
985.
广州市轨道交通站点交通衔接功能分级体系探讨 总被引:2,自引:0,他引:2
制定轨道交通站点交通衔接功能分级体系,明确站点交通衔接功能定位,是实现轨道交通与其它交通方式高效衔接的基础。本文针对当前国内轨道交通站点衔接功能分级体系不统一,分级指标和标准不明确的情况,结合广州市的实际,对轨道交通站点衔接功能等级划分、分级指标选取、指标标准的确定等方面进行了探讨。 相似文献
986.
交通拥挤的社会成本可分为生产成本、使用成本、时间耗费成本及外部成本,本文在定性分析的基础上,对使用成本和时间耗费成本做了定量分析,给出了计算公式,并通过对大连市西南路某路段在拥挤时段的调查,计算出了居民出行时间成本的损失和城市交通使用成本的损失,这一结果可以推广到整条道路或区域路网,从而为城市交通的良性发展和减少经济损失等方面提供了有效的理论依据。 相似文献
987.
城市客运交通结构的影响因素研究 总被引:2,自引:0,他引:2
在分析交通结构组成和基本模式的基础上,归纳总结了城市客运交通结构存在的问题。对影响城市客运交通结构的主要因素进行了定性研究,为城市客运交通结构向合理化方向发展提供借鉴。 相似文献
988.
989.
交通安全设施对交通安全的影响分析 总被引:1,自引:0,他引:1
交通安全设施主要由交通标志、标线、护栏、隔离设施、防眩设施、视线诱导设施等组成,通过分析交通安全设施的设计、施工等质量问题反映其对交通安全的影响. 相似文献
990.
Arne Kesting Martin Treiber Martin Schnhof Dirk Helbing 《Transportation Research Part C: Emerging Technologies》2008,16(6):668-683
We present an adaptive cruise control (ACC) strategy where the acceleration characteristics, that is, the driving style automatically adapts to different traffic situations. The three components of the concept are the ACC itself, implemented in the form of a car-following model, an algorithm for the automatic real-time detection of the traffic situation based on local information, and a strategy matrix to adapt the driving characteristics (that is, the parameters of the ACC controller) to the traffic conditions. Optionally, inter-vehicle and infrastructure-to-car communication can be used to improve the accuracy of determining the traffic states. Within a microscopic simulation framework, we have simulated the complete concept on a road section with an on-ramp bottleneck, using empirical loop-detector data for an afternoon rush-hour as input for the upstream boundary. We found that the ACC vehicles improve the traffic stability and the dynamic road capacity. While traffic congestion in the reference scenario was completely eliminated when simulating a proportion of 25% ACC vehicles, travel times were already significantly reduced for much lower penetration rates. The efficiency of the proposed driving strategy even for low market penetrations is a promising result for a successful application in future driver assistance systems. 相似文献