scholarly journals A Cell-Based Regional Evacuation Model with Contra-Flow Lane Deployment

2012 ◽  
Vol 5 ◽  
pp. 20-25 ◽  
Author(s):  
Xin Ming Zhang ◽  
Shi An ◽  
Bing Lei Xie
Keyword(s):  
Numerical Experiment ◽  
Road Network ◽  
Topology Structure ◽  
The Road ◽  
Proposed Model ◽  
A Cell ◽  
Queue Model ◽  
Evacuation Model

Based on SO-DTA and one-destination evacuation, a cell-based regional evacuation model, which embeds CTM and point-queue model, is proposed in this paper. The road network is converted to the cell-node topology structure so as to reduce the constraints. The “traffic holding” problem also be solved in the model by an OSP constraint. And to improve the evacuation efficiency, contra-flow lane is imported. A numerical experiment is conducted to verify the proposed model and algorithm.

scholarly journals Modeling of Emergency Supply Scheduling Problem Based on Reliability and Its Solution Algorithm under Variable Road Network after Sudden-Onset Disasters

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Tinggui Chen ◽  
Shiwen Wu ◽  
Jianjun Yang ◽  
Guodong Cong ◽  
Gongfa Li
Keyword(s):  
Road Network ◽  
Road Networks ◽  
Sudden Onset ◽  
The Road ◽  
Bee Colony ◽  
Proposed Model ◽  
Effectiveness And Efficiency ◽  
In Transit ◽  
Emergency Supply

It is common that many roads in disaster areas are damaged and obstructed after sudden-onset disasters. The phenomenon often comes with escalated traffic deterioration that raises the time and cost of emergency supply scheduling. Fortunately, repairing road network will shorten the time of in-transit distribution. In this paper, according to the characteristics of emergency supplies distribution, an emergency supply scheduling model based on multiple warehouses and stricken locations is constructed to deal with the failure of part of road networks in the early postdisaster phase. The detailed process is as follows. When part of the road networks fail, we firstly determine whether to repair the damaged road networks, and then a model of reliable emergency supply scheduling based on bi-level programming is proposed. Subsequently, an improved artificial bee colony algorithm is presented to solve the problem mentioned above. Finally, through a case study, the effectiveness and efficiency of the proposed model and algorithm are verified.

scholarly journals The Development of a Concept Model of All-Weather Safe Winter Tires

2019 ◽  
pp. 3-11
Author(s):  
I.V. Balabin ◽  
O.I. Balabin ◽  
I.S. Chabunin
Keyword(s):  
Conceptual Model ◽  
Russian Federation ◽  
Road Safety ◽  
Road Network ◽  
Winter Temperature ◽  
The Road ◽  
Concept Model ◽  
Traffic Conditions ◽  
Proposed Model ◽  
The Russian Federation

The article presents issues related to improving safety and efficiency of operation of mobile machines in the constantly changing, winter temperature and traffic conditions. The authors develop a conceptual model of winter all-weather tires able to adapt to various road conditions such as when the road is covered with a layer of ice or compacted snow, or when the road is free from snow and ice. The use of such winter all weather tires will improve the road safety by contributing to increasing the life of tires and preserving the road network. The proposed model has no foreign analogues and is protected by a patent of the Russian Federation.

scholarly journals Estimation of the bus delay at the stopping point on the base of traffic parameters

2015 ◽  
Vol 35 (3) ◽  
pp. 15-25 ◽  
Author(s):  
Petro Horbachov ◽  
Vitalii Naumov ◽  
Oleksandr Kolii
Keyword(s):  
Public Transport ◽  
Road Network ◽  
Urban Transport ◽  
Transport Systems ◽  
Field Surveys ◽  
The Road ◽  
Small Width ◽  
Proposed Model ◽  
Traffic Conflicts ◽  
Bus Delay

Contemporary methods of spatial planning of urban transport systems provide for designers enough opportunities in selecting the placement of stopping points for public transport. However in every city there exist very intense sections of the road network with a small width of the roadway. In these sections there is no opportunity to allocate special lanes for public transport. If the stop pockets on such street exist, there appear traffic conflicts when buses depart from the stopping point. Authors propose theoretical model for estimation of the bus delay at the stopping point on the base of traffic parameters. Use of the proposed model allows reducing amount of field surveys while grounding the decisions about rational variant of allocation of the bus stopping points. The paper describes some experimental results obtained with the use of the proposed model while field surveys at the most loaded streets in the central part of Kharkiv (Ukraine).

scholarly journals An Efficient Method for Choosing Digital Cluster Size in Ultralow Latency Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Alexander Paramonov ◽  
Mashael Khayyat ◽  
Natalia Chistova ◽  
Ammar Muthanna ◽  
Ibrahim A. Elgendy ◽  
...  
Keyword(s):  
Fractal Dimension ◽  
Numerical Experiment ◽  
Efficient Method ◽  
Cluster Size ◽  
Road Network ◽  
Linear Dimension ◽  
Service Area ◽  
Communication Line ◽  
Dimension Estimation ◽  
The Road

The paper proposes a solution to the problem of choosing the size of a cluster in an ultralow latency network. This work is aimed at designing a method for choosing the size of the digital cluster in an ultralow latency network taking into account the lengths of connecting lines. If the linear dimension calculation is based only on the latency requirements without specifics of building the communication line, it negatively affects timing characteristics. This paper shows the method taking into account the communication line features and basing on the fractal dimension estimation of the road network. The proposed method could be used in planning and designing networks with ultralow latencies. Finally, a numerical experiment was carried out, based on the data of electronic maps, which showed that the assessment of the fractal dimension of roads in the network’s service area makes it possible to increase the accuracy of the size of the formed cluster. Moreover, the proposed method can allow you to reduce the error in estimating the length of connecting lines, which without using it can be on average about 30%.

scholarly journals The Variable Scale Evacuation Model (VSEM): a new tool for simulating massive evacuation processes during volcanic crises

2010 ◽  
Vol 10 (4) ◽  
pp. 747-760 ◽  
Author(s):  
J. M. Marrero ◽  
A. García ◽  
A. Llinares ◽  
J. A. Rodríguez-Losada ◽  
R. Ortiz
Keyword(s):  
Road Network ◽  
Natural Hazard ◽  
Volcanic Eruptions ◽  
Civil Defense ◽  
Volcanic Risk ◽  
Emergency Plans ◽  
The Road ◽  
Hazard And Risk ◽  
Event Trees ◽  
Evacuation Model

Abstract. Volcanic eruptions are among the most awesome and powerful displays of nature's force, constituting a major natural hazard for society (a single eruption can claim thousands of lives in an instant). Consequently, assessment and management of volcanic risk have become critically important goals of modern volcanology. Over recent years, numerous tools have been developed to evaluate volcanic risk and support volcanic crisis management: probabilistic analysis of future eruptions, hazard and risk maps, event trees, etc. However, there has been little improvement in the tools that may help Civil Defense officials to prepare Emergency Plans. Here we present a new tool for simulating massive evacuation processes during volcanic crisis: the Variable Scale Evacuation Model (VSEM). The main objective of the VSEM software is to optimize the evacuation process of Emergency Plans during volcanic crisis. For this, the VSEM allows the simulation of an evacuation considering different strategies depending on diverse impact scenarios. VSEM is able to calculate the required time for the complete evacuation taking into account diverse evacuation scenarios (number and type of population, infrastructure, road network, etc.) and to detect high-risk or "blackspots" of the road network. The program is versatile and can work at different scales, thus being capable of simulating the evacuation of small villages as well as huge cities.

scholarly journals A New Fuzzy MARCOS Method for Road Traffic Risk Analysis

Mathematics ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 457 ◽  
Author(s):  
Miomir Stanković ◽  
Željko Stević ◽  
Dillip Kumar Das ◽  
Marko Subotić ◽  
Dragan Pamučar
Keyword(s):  
Road Network ◽  
Road Traffic ◽  
Fuzzy Topsis ◽  
The Road ◽  
Dynamic Factors ◽  
Proposed Model ◽  
Criteria Weights ◽  
The Stability ◽  
Criteria Importance ◽  
Decision Making Model

In this paper, a new fuzzy multi-criteria decision-making model for traffic risk assessment was developed. A part of a main road network of 7.4 km with a total of 38 Sections was analyzed with the aim of determining the degree of risk on them. For that purpose, a fuzzy Measurement Alternatives and Ranking according to the COmpromise Solution (fuzzy MARCOS) method was developed. In addition, a new fuzzy linguistic scale quantified into triangular fuzzy numbers (TFNs) was developed. The fuzzy PIvot Pairwise RElative Criteria Importance Assessment—fuzzy PIPRECIA method—was used to determine the criteria weights on the basis of which the road network sections were evaluated. The results clearly show that there is a dominant section with the highest risk for all road participants, which requires corrective actions. In order to validate the results, a comprehensive validity test was created consisting of variations in the significance of model input parameters, testing the influence of dynamic factors—of reverse rank, and applying the fuzzy Simple Additive Weighing (fuzzy SAW) method and the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS). The validation test show the stability of the results obtained and the justification for the development of the proposed model.

scholarly journals Simulation of Population Growth and Distribution based on Centrality of Road Network

2019 ◽  
Vol 8 (10S) ◽  
pp. 389-393
Keyword(s):  
Population Growth ◽  
Statistical Models ◽  
Urban Form ◽  
Road Network ◽  
Closeness Centrality ◽  
Network Centrality ◽  
The Road ◽  
Proposed Model ◽  
Endogenous Variables ◽  
The City

This study presents a method to model population growth of spatial units by incorporating measures of road network centrality instead of conventional statistical models of population growth. The proposed model enables the estimation of population growth based on the changes in the urban form represent by the changes in the road network and their centralities. The model has been calibrated and validated for the city of Colombo, Sri Lanka. The proposed model for simulating population growth rate by utilizing Closeness Centrality values and the rate of natural population growth as endogenous variables recorded an accepted level of predictability (R2= 0.87 and MdAPE < 10%). The method demonstrated in this research is an effective tool for understanding and directing the efficient allocation of intelligent road network infrastructure, urban planning and population modeling.

scholarly journals Emergency Repair Scheduling Model for Road Network Integrating Rescheduling Feature

2021 ◽  
Vol 11 (4) ◽  
pp. 1447
Author(s):  
Shu-Shun Liu ◽  
Muhammad Faizal Ardhiansyah Arifin ◽  
Wei Tong Chen ◽  
Ying-Hua Huang
Keyword(s):  
Road Network ◽  
Road Maintenance ◽  
Scheduling Problems ◽  
Resource Assignment ◽  
Routing Problem ◽  
The Road ◽  
Emergency Repair ◽  
Scheduling Model ◽  
Proposed Model ◽  
Research Findings

When a natural disaster occurs, road maintenance departments always face the challenge of how to assign repair resources properly to recover damaged road segments as soon as possible. From the literature review, most studies treat such problems as a vehicle routing problem (VRP). In those studies, repair resources are always dispatched as complete crews, and cannot be divided into smaller scales. Furthermore, each disaster point is only allowed one group of resources to recover it, without considering the possibility of accelerating the production rate subjected to specific objectives. Such limitation restricts required resources in an inflexible manner. Therefore, this study defines all repair works as an emergency repair project and adopts the framework of the Resource-Constrained Project Scheduling Problem (RCPSP), which can resolve such complicated resource assignment issue. A novel emergency repair scheduling model for the road network is proposed based on Constraint Programming (CP) as the searching algorithm to facilitate model formulation. According to the RCPSP concepts, disaster points are set as repair activities and resource travel routes between disaster points are set as transit activities. All the repair activities are linked by transit activities and the required resources are assigned accordingly. In order to consider the second-wave hazard events of where new disaster points may occur, and new resources may be added into emergency repair projects, a rescheduling feature is integrated into the proposed model. Through two case studies, research findings show that this model can be easily modulated to adapt to different situations satisfying practical disaster management goals and solving emergency repair scheduling problems for road networks efficiently.

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