Paper
10 November 2021 Study on optimal evaluation of route design scheme in mountain highway reconstruction and expansion
Yunwei Meng, Honghao Yan, Xuzhi Liang, Zhonghua Tang, Shiquan Sun
Author Affiliations +
Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 120500G (2021) https://doi.org/10.1117/12.2613742
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China
Abstract
In the reconstruction and extension project of mountainous highway, it is difficult to choose the route scheme for some sections. The main reason is the comprehensive choice of alignment parameters, project cost and environmental protection. In this paper, a TOPSIS evaluation method based on entropy weight method is proposed. From the most concerned aspects of route scheme selection, 11 indexes are selected, including minimum horizontal curve radius, longitudinal slope value, horizontal and vertical combination, first part cost, filling and excavation balance, proportion of high filling and deep excavation section, bridge tunnel ratio, space type, slope masonry ratio, roadside safety assurance degree and number of access points, the entropy weight method is used to determine the weight of the index, and then the TOPSIS method is used to calculate the distance between each scheme and the ideal solution, so as to judge the advantages and disadvantages of each scheme. The method is applied in practical engineering. The evaluation method provides a new idea for the selection of route scheme in the reconstruction and expansion project.
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Yunwei Meng, Honghao Yan, Xuzhi Liang, Zhonghua Tang, and Shiquan Sun "Study on optimal evaluation of route design scheme in mountain highway reconstruction and expansion", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 120500G (10 November 2021); https://doi.org/10.1117/12.2613742
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KEYWORDS
Safety

Roads

Distance measurement

Analytical research

Psychophysiology

Scientific research

Soil science

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