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Emergency rescue facility collocating method based on reliability of city road network

An emergency rescue and urban road network technology, applied in the traffic control system of road vehicles, traffic flow detection, instruments, etc., can solve problems such as randomness of urban road network conditions and road reliability without consideration

Inactive Publication Date: 2010-07-14
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the randomness of urban road network conditions and road reliability are not considered in current traffic network design and evaluation models.
In setting the layout model of emergency rescue facilities, it is often assumed that the road network is completely reliable, which is not in line with the actual situation

Method used

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  • Emergency rescue facility collocating method based on reliability of city road network
  • Emergency rescue facility collocating method based on reliability of city road network
  • Emergency rescue facility collocating method based on reliability of city road network

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Embodiment

[0113] Considering 12 blocks in a certain area, the local government plans to select p=5 locations from 7 candidate facility locations (A, B, ..., G) to set up emergency rescue facilities. Assuming that the demand of each block is concentrated in the center of the block (such as the street office), the driving distance d from the candidate facility to the center of the block ij The population of each block is shown in Table 1. The local government requires at least one facility to serve the block with less than 40,000 people, at least two facilities to serve the block with 40,000 to 100,000 people, and at least three facilities to serve the block with more than 100,000 people , ie q 5 =q 6 =q 8 =1,q 1 =q 4 =q 7 =q 10 =q 12 =2,q 2 =q 3 =q 9 =q 11 = 3.. Here, the population of each block is used as the weight w of the block i .

[0114] Table 1 The driving distance (Min) from candidate facilities to the center of the block and the population of each block

[0115...

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Abstract

The invention discloses an emergency rescue facility collocating method based on the reliability of a city road network. The method comprises the following steps of: firstly, carrying out traffic distribution by utilizing the basic information of the city road network and adopting a determinacy user balanced method, and obtaining the traffic flow information of the city road by utilizing a traffic simulation method and constructing the reliability of a road section; secondly, introducing a Dijkstra algorithm applying the reliability of the road section to obtain an amended distance matrix among nodes of the city road network; finally establishing a multi-target decision model of emergency rescue facility site selection, and determining the layout of the emergency rescue facilities in the city according to different targets. In the invention, the randomness of the city road network and the multi-target requirement in rescue facility sit selection are considered so that the layout of the emergency rescue facilities meets the requirement of the actual condition.

Description

technical field [0001] The invention relates to a configuration method of emergency rescue facilities based on the reliability of urban road network, specifically, based on the reliability of road section capacity and a multi-objective decision-making model, a method for determining the optimal layout of emergency rescue facilities in the city, involving traffic and urban planning technology . Background technique [0002] The urban traffic road network is the basic facility to maintain the functions of the modern city and the regional economy. The normal operation of the urban road network has an important impact on the city. However, in real life, the normal operation of traffic network functions is affected by many factors, including both natural factors (such as earthquakes, floods, volcanic eruptions, mudslides, etc.) and human factors (such as road maintenance, ramp closures, on-street parking, Traffic accidents, terrorist activities, etc.), these factors have caused ...

Claims

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Application Information

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IPC IPC(8): G08G1/00G08G1/01
Inventor 程琳刘政威
Owner SOUTHEAST UNIV
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