Comparing the road networks of residential areas

Háznagy, Andor; Fi, István

doi:10.1556/606.2016.11.3.6

Cited by 3 publications

(2 citation statements)

References 11 publications

(8 reference statements)

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“…Then achievements of the vehicle routing problem were studied in several papers by several authors, [13]- [15], [17]- [19] (Table II The classification of VRPTW was described based on the material from [20], [21]. The main issue in these papers is the model MDHVRPTW.…”

Section: Overview Of Some Important Methods and Algorithms For Solving The Problem Of Roadmap Formationmentioning

confidence: 99%

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Methods and algorithms to solve the vehicle routing problem with time windows and further conditions

et al. 2018

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In this paper methods and algorithms are examined for solving one important problem of transport logistics, namely formation of roadmap. The proposed mathematical model is based on the well-known multi-depot heterogeneous vehicle routing problem with time windows algorithm. Modifications of the model provide additional conditions and restrictions. Algorithmic support of information transport system in an enterprise is connected with features of the vehicle routing problem. The suggested solution is based on modified Clarke and Wright Algorithm and Variable Neighborhood Search. The risk on the roads and the cost of toll roads are calculated, too.

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Section: Overview Of Some Important Methods and Algorithms For Solving The Problem Of Roadmap Formationmentioning

confidence: 99%

“…The problem statement of formation of the roadmap is considered as substantiation of the mathematical model of Multi-Depot Heterogeneous Vehicle Routing Problem with Time Windows (MDHVRPTW) [13], [14] and its modifications. Methods, algorithms and information technologies for the solution of the problem are described.…”

Section: Introductionmentioning

confidence: 99%

Methods and algorithms to solve the vehicle routing problem with time windows and further conditions

et al. 2018

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Searching possible accident black spot locations with accident analysis and GIS software based on GPS coordinates

2017

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There are several methods for the analysis of road accidents in a road network. In Hungary from 2011 GPS coordinates are used to identify the location of personal injury accidents. This method significantly improves the display of locations of accidents on the map, which can be then analyzed using GIS tools. Accident black spots are the most dangerous places in road networks identified by the density of the accidents in the network. One of the analysis methods is the accident density searching. The methods and algorithms used in some software may show differences in relation to one another. The aim of this research is comparing two applications by investigating the local road network in GyĘr. The analysis was made using the WEB-BAL accident analysis software using the density-based spatial clustering of applications with noise procedure and the QGIS software using the kernel density estimation method. The former is the official accident database and online software used for accident investigations and the latter is an open source geographic information system. The results are visualized in accident density plots and black spot maps.

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How local street networks contribute to the traffic accident occurrence: Mersin city case

Zorlu¹

2021

DRArch

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In this study, the issue of the accident frequency/occurrence in local residential streets where vehicle counts are not obtained is discussed. The accident reports received from the Ministry of Interior include fatal and injury accidents. But since the number of deadly accidents is minor, a binomial regression was not employed in the statistical analysis. This study investigates the role of morphological characteristics of the street network where main arterials are excluded in the safety of residential neighborhoods of Mersin, Turkey. Results showed that commercial and industrial uses generate more traffic than residential neighborhoods, therefore, responsible for higher rates of accidents. The number of vehicles, employment, and population increase the accident rate. Empirical model results showed that population density, street length per capita (meters), and number of intersections significantly affect accident occurrence. Number of intersections increases accident frequencies while street length per capita reduces. In contrast, the number of links, street density, link to node ratio, and average link length have no significant effect on accident occurrence. Traffic safety cannot be achieved if the street length is not proportional to the number of vehicles. In addition, street design is also a matter of efficient use of urban space.

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Comparing the road networks of residential areas

Cited by 3 publications

References 11 publications

Methods and algorithms to solve the vehicle routing problem with time windows and further conditions

Methods and algorithms to solve the vehicle routing problem with time windows and further conditions

Searching possible accident black spot locations with accident analysis and GIS software based on GPS coordinates

How local street networks contribute to the traffic accident occurrence: Mersin city case

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