交通基础设施发展引起的出行时间变化估计

M. Saadullah, Zhipeng Zhang, Hao Hu
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引用次数: 0

摘要

目的新建交通基础设施的预期效益是节省出行时间,进一步提高交通经济性。需要一种鲁棒性和实用性可接受的行程时间估计方法。宏观基本图(MFD)通过连接平均流量、速度和密度来表示网络层面的整体交通性能。MFD可以用来估计网络状态和描述各种流量管理策略。本研究旨在利用MFD框架描述新基础设施发展对网络性能的影响。设计/方法/方法模拟伊斯兰堡道路网络在基础设施建设前后的场景,提取多种模式的浮车数据集(FCD)。在基础设施变化的基础上,形成了整个区域和分区区域的MFD。此外,本研究还扩展到利用MFD结果和公共道路局(Bureau of Public Roads, BPR)函数在社区层面计算多种模式下的出行时间。对全网的smfd结果表明,新建基础设施后,交通速度有所提高。使用MFD结果估算的出行时间依赖于速度估算,而使用BPR函数估算的出行时间依赖于一天中不同时段的交通量变化。利用多模式的FCD,得到了多模式下的行程时间估计。BPR函数法仅对交通流的行程时间估计有效。原创性/价值本文创新性地使用MFD框架研究了网络在建设前和建设后场景下的性能变化。在实践中,所提出的方法可以被运输机构用来评估不同的交通管理策略和基础设施变化的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of travel time variation caused by transport infrastructure development
Purpose The expected benefits of newly developed transportation infrastructures are the saving of travel time and further promoted transport economics. There is a need for a methodology of travel time estimation with acceptable robustness and practicability. Macroscopic fundamental diagram (MFD) represents the overall traffic performance at a network level by linking average flow, speed and density. MFD can be used to estimate network state and to describe various traffic management strategies. This study aims to describe the effect of new infrastructure development on the network performance using the MFD framework. Design/methodology/approach The scenarios of Islamabad Road network before and after the infrastructure construction were simulated, in which the floating car data set (FCD) for multiple modes was extracted. MFD has been formed for the whole region and partitioned region, which was divided on the basis of infrastructural changes. Moreover, this study has been extended to calculate travel time for multiple modes using the MFD results and the Bureau of Public Roads (BPR) function at a neighborhood level. Findings MFD results for the whole network showed that the speed of traffic improves after the construction of new infrastructure. The travel time estimates using MFD results were dependent on the speed estimates, whereas the estimates obtained using the BPR function were found to be dependent on the traffic volume variation during different intervals of the day. By using the FCD for multiple modes, travel time estimates for multiple modes were obtained. The BPR function method was found valid for estimating travel time of traffic stream only. Originality/value This paper innovatively investigates the change in network performance for pre-construction and post-construction scenarios using the MFD framework. In practice, the approach presented can be used by transportation agencies to evaluate the effect of different traffic management strategies and infrastructural changes.
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