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Multi-attribute decision-making software for sustainable traffic network design

A multi-attribute decision-making, transportation network technology, applied in the field of multi-attribute decision-making software

Pending Publication Date: 2019-11-15
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In existing software, the main goal of traffic network design is to alleviate traffic congestion, i.e. minimize total travel time or maximize network reserve capacity, while failing to adequately consider other dimensions of sustainability and their conflicting

Method used

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  • Multi-attribute decision-making software for sustainable traffic network design
  • Multi-attribute decision-making software for sustainable traffic network design
  • Multi-attribute decision-making software for sustainable traffic network design

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Embodiment Construction

[0356] The hardware environment used by this software is Inter 2.60GHz CPU / 4G memory, the software environment is Windows 8.1 / R 3.3.3 / Rstudio, and the software uses R 3.3.3 for programming. use as image 3 The Nguyen-Dupuis transportation network shown illustrates a specific embodiment. Link parameters include free flow travel time, link capacity and link length, as shown in Table 1

[0357] Table 1. Link parameters of the Nguyen-Dupuis network

[0358]

[0359] There are two origin areas 1 and 4 and two destination areas 2 and 3 in the Nguyen-Dupuis network. Assume that the traffic occurrences of origins 1 and 4 during peak hours are 1800pcu / h and 1200pcu / h respectively. That is to say, O 1 =1800pcu / h, O 4 =1200pcu / h. Candidate sections for improving traffic capacity are 3, 4, 5, 9, 13, 16, and 19. The problem is to determine the optimal link capacity improvement model based on four attributes in order to make the best use of the investment budget. M=500 investment...

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Abstract

The invention discloses multi-attribute decision-making software for sustainable traffic network design by using R language.. Firstly, an upper-layer policy maker generates a plurality of feasible design schemes by using Dirichlet distribution. Then, a lower traveler makes a series of behavioral responses to each feasible scheme, which is a four-stage sequence model with a feedback mechanism. Thefeedback process of a lower layer can converge to traffic system equalization, and the equalization result is further fed back to an upper layer so as to measure a plurality of attributes of economy,environment, society, safety and the like of the traffic network. Finally, after a plurality of attribute values are calculated for each scheme. An optimal feasible scheme is determined by adopting amulti-attribute decision-making method. Due to the fact that the open-source free R language is adopted, the software is easy to operate and spread. The method is very useful for designing a sustainable traffic network under the condition of giving a traffic infrastructure investment budget.

Description

Technical field: [0001] The invention uses R language to compile a multi-attribute decision-making software for sustainable traffic network design, which belongs to the technical field of traffic engineering. Background technique: [0002] Transportation systems play a key role in sustainable development, and as such, sustainable urban mobility has recently become an important research area. A sustainable transport system is usually characterized by three dimensions: economic, environmental and social. However, existing traffic studies only focus on one or at most two dimensions [1] . Only a small number of studies consider all three dimensions simultaneously. It is important to note that there may be more than one measure in each of the three dimensions. For example, in addition to the total travel time of the system, the economic dimension can also include consumer surplus, network reserve capacity, total investment cost, total toll revenue, etc. In addition, safety i...

Claims

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Application Information

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IPC IPC(8): G06F8/20
CPCG06F8/20
Inventor 林宏志赵宇轩
Owner SOUTHEAST UNIV
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