阿布扎比拥挤公路的微观仿真建模与情景分析

Umair Hasan, H. Aljassmi, Aisha Hasan
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引用次数: 1

摘要

今天的道路受到交通拥堵、地面资产恶化(通常是由于过度依赖私家车交通)、车辆运营和燃料成本增加以及污染物排放的影响。在阿布扎比,由于基础设施的高质量建设和公共交通网络的需要扩大,私家车交通构成了城市高速公路的主要份额,导致主要高速公路交通拥堵。这些问题可以在规划阶段通过适当的决策加以解决。提出了阿布扎比驾驶行为的微观模拟模型,用于交通管理场景的经验评估。本文介绍了一种技术,用于开发、校准、验证和场景分析一个详细的基于vissim的微仿真模型,该模型是阿布扎比一条5车道分隔高速公路的3.5公里路段。交通统计数据收集自两个来源,即当地交通部门(2007年)和市政府(2007年和2015-2016年)。注意到坡道和高速公路干线之间的交通统计差距,这在现实世界的数据情况中很常见。构建了2015年代表性一周的复合数据集,并以15%(<100辆/小时)的误差范围对模型进行了校准和验证。在2015-2020年的预测期间,以15分钟时距和40%载客量为基准,对潜在的公共巴士运输服务进行情景分析。结果表明,该方案显著提高了通行能力,改善了交通流量。在以公共汽车为基础的情况下,车辆行驶时间的差异有所减少,因为主线路段的汽车遇到的瓶颈和拥堵较少。开发的模型可用于进一步的场景分析,以在高速公路的生命周期中找到优化的交通管理策略,同时也可用于阿布扎比其他主要道路的类似评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microsimulation Modelling and Scenario Analysis of a Congested Abu Dhabi Highway
Today’s roadways are subject to traffic congestion, the deterioration of surface-assets (often due to the overreliance on private vehicle traffic), increasing vehicle-operation and fuel costs, and pollutant emissions. In Abu Dhabi, private car traffic forms the major share on urban highways, as the infrastructure was built to a high quality and the public transport network needs expansion, resulting in traffic congestion on major highways. These issues are arguably addressable by appropriate decisions at the planning stage. Microsimulation modeling of driving behavior in Abu Dhabi is presented for empirical assessment of traffic management scenarios. This paper presents a technique for developing, calibrating, validating, and the scenario analysis of a detailed VISSIM-based microsimulation model of a 3.5 km section of a 5-lane divided highway in Abu Dhabi. Traffic-count data collected from two sources, i.e., the local transport department (year 2007) and municipality (2007 and 2015–2016) were used. Gaps in traffic-counts between ramps and the highway mainline were noted, which is a common occurrence in real-world data situations. A composite dataset for a representative week in 2015 was constructed, and the model was calibrated and validated with a 15% (<100 vehicles per hour) margin of error. Scenario analysis of a potential public bus transport service operating at 15 min headway and 40% capacity was assessed against the base case, for a 2015–2020 projected period. The results showed a significant capacity enhancement and improvement in the traffic flow. A reduction in the variation between vehicle travel times was observed for the bus-based scenario, as less bottlenecking and congestion were noted for automobiles in the mainline segments. The developed model could be used for further scenario analyses, to find optimized traffic management strategies over the highway’s lifecycle, whereas it could also be used for similar evaluations of other major roads in Abu Dhabi post-calibration.
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