货车车道管理备选策略评价的建模框架

Hesham A Rakha, Ihab El-Shawarby, Sangjun Park, M. Arafeh
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引用次数: 2

摘要

本文开发并验证了一个用于评估备选卡车车道管理策略的建模框架。该框架用于评估弗吉尼亚州81号州际公路沿线的替代卡车车道管理策略。通过模拟模型得出的轻型和重型车辆的平均速度与基本条件下的现场观测结果一致。考虑了三种方案,包括:(a)在第2段增加一条单车道(从里程125.0到120.7);(b)在路段1(从路标128.1到125.0)、路段2和路段3(从路标120.7到119.6)上增加一条单车道;(c)将(a)和(b)相结合,从里程碑128.1至119.6处形成四条车道。分析结果表明,所有三种方案都节省了旅行时间;能源;HC、CO和CO2排放;相对于基本的什么都不做的情况,崩溃节省了。从2004年的基准年到2035年的地平线年,随着旅游需求的增长,这些好处也会增加。效益-成本分析结果表明,最具成本效益的升级是在第2路段增加第三条车道(效益-成本比为5.35),然后在第1至3路段增加单车道(效益-成本比为2.30)。在第2段增加第4条车道,并在第1至第3段增加一条车道,仍然具有1.60的收益成本比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling framework for the evaluation of alternative truck lane management strategies
This paper develops and validates a modeling framework for the evaluation of alternative truck lane management strategies. The framework is used to evaluate alternative truck lane management strategies along a section of Interstate 81, VA. The average light-duty and heavy-duty vehicle speeds produced by the simulation model were found to be consistent with field observations for the base condition. Three scenarios were considered, including: (a) adding a single lane to section 2 (from mileposts 125.0 to 120.7); (b) adding a single lane across sections 1 (from mileposts 128.1 to 125.0), 2, and 3 (from milepost 120.7 to 119.6); (c) combining (a) and (b) to result in four lanes from mileposts 128.1 to 119.6. The results of the analysis indicate that all three scenarios produce savings in travel time; energy; HC, CO, and CO2 emissions; and crash savings relative to the base do-nothing scenario. These benefits increase as the travel demand grows from the base year of 2004 to the horizon year of 2035. A benefit-cost analysis was conducted, and the results demonstrate that the most cost-effective upgrade is to add a third lane to section 2 (benefit-cost ratio of 5.35) followed by the addition of a single lane to sections 1 through 3 (benefit-cost ratio of 2.30). The addition of a fourth lane to section 2, together with an extra lane in sections 1 through 3, still offers advantages with a benefit-cost ratio of 1.60.
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