Road Network Parameters Research Articles

The structure of variable assessment of the feasibility of organizing urban passenger transport priority traffic

Problem. An important source of increasing the efficiency of urban transport systems is the development of high-speed connections, which in practice can be achieved by allocating special traffic lanes for urban passenger transport. However, at the stage of justifying such a decision, it is necessary to comprehensively assess the expected positive results and all possible risks, including the complication of traffic conditions. Goal. The purpose of the work is to establish a procedure for determining a rational variant of organizing priority movement of urban passenger transport from the standpoint of evaluating the improvement of the route efficiency and the emergence of critical risks of functioning of the street and road network elements. Methodology. As a basis for establishing the principles of evaluating the options for organization of high-speed urban passenger transport, an analysis of their impact on improving the quality of public transport services, capital costs for the implementation of such measures and possible negative consequences for the street and road network was used. Results. The central part of evaluating the variant of organizing the priority traffic of urban passenger transport is determination of the value of the permissible risk. As a risk, an assessment of the degree of organization of high-speed connections was used, which from the point of view of consumers provides the possibility of obtaining a positive result in relation to travel time, reducing the number of rolling stock on the route and ensuring a suitable level of capacity of the street-road network. Qualitative assessment of the parameters of the risk system is carried out using linguistic variables that can be represented in the form of basic term-sets. For risk factors, such assessments are presented in three variants: low, partial and full compliance with the requirements of the organization of high-speed communication. Originality. The analysis of the systematicity, completeness and interconnectedness of the conditions for the formation of management decisions in the field of choosing an option for the organization of priority urban passenger transport made it possible to form the principles of using a risk system, whose unity is ensured by taking into account the interrelationships of the time parameters of traffic on the route and the conditions of traffic complications on the network. The formation of a fuzzy product includes the description of its components, that is, the prerequisites and the conclusion, whose combination determines the fuzzy product. Input components of products are divided into two groups: route parameters and road network parameters. Practical value. According to the results of experimental calculations for route No. 24 “District 602 – Academika Barabashova metro station” (Kharkiv) established that the implementation of special traffic lanes for urban passenger transport is appropriate only on a separate section of the route. This is due to the fact that on this section of the road network, a pleasant level of risk of traffic complications will be ensured, and a 37% reduction in journey time will lessen the need for rolling stock on the route to 6 units.

Distributed Traffic Control Based on Road Network Partitioning Using Normalization Algorithm

With continuous economic development, most urban road networks are facing unprecedented traffic congestion. Centralized traffic control is difficult to achieve, and distributed traffic control based on partitioning a road network into subnetworks is a promising way to alleviate traffic pressure on urban roads. In order to study the differences between different partitioning methods chosen for distributed traffic control, we used the normalization algorithm to partition a part of the road network in Changsha City, and we used the results of the Girvan–Newman algorithm and the manual empirical partitioning method as a control group. Meanwhile, an abstract road network was constructed using VISSIM simulation software based on realistic road network parameters. And then, the different partitioning results were applied to the simulated road network to analyze the control effect. The results of the simulation software show that different partitioning methods have different effects on traffic control at subnetwork boundaries and improve traffic pressure to different degrees. Partitioning the road network into four subnetworks provided the greatest degree of traffic improvement. Overall, the proposed distributed traffic control method effectively improved operational efficiency and alleviated the traffic pressure of the road network.

Data and code used in the article titled " A Bayesian updating framework for calibrating hydrological parameters of road network using taxi GPS data"

Data and code used in the article titled " A Bayesian updating framework for calibrating hydrological parameters of road network using taxi GPS data"

Data and code used in the article titled " A Bayesian updating framework for calibrating hydrological parameters of road network using taxi GPS data"

Data and code used in the article titled " A Bayesian updating framework for calibrating hydrological parameters of road network using taxi GPS data"

Data and code used in the article titled " A Bayesian updating framework for calibrating hydrological parameters of road network using taxi GPS data"

Data and code used in the article titled " A Bayesian updating framework for calibrating hydrological parameters of road network using taxi GPS data"

Data and code used in the article titled " A Bayesian updating framework for calibrating hydrological parameters of road network using taxi GPS data"

Data and code used in the article titled " A Bayesian updating framework for calibrating hydrological parameters of road network using taxi GPS data"

The Transport of Oversized Cargoes from the Perspective of Sustainable Transport Infrastructure in Cities

The article deals with the transport of oversized cargoes from the perspective of parameters of road network in city environments. In recent years, there has been an increase in the transport of products with dimensions and weight considered above standard. It is very difficult to transport these products not only within Europe but also worldwide. This is also pointed out in the European directive, which recommends that all EU member states build a pan-European network of corridors for the transport of oversized cargoes. The article analyses the issue of transport within the transport infrastructure in cities from the perspective of sustainability of road networks for ensuring the passage of oversized cargoes. The article describes the results of research that was performed for the determination of parameters to ensure the passage of oversized cargoes on roads. The article also deals with the analysis of implemented transports, the results of video analysis of monitored transports, measurement of swept paths of vehicles using GPS apparatus and drones, modelling of oversized vehicles in programs for verification of the swept paths of vehicles, simulation of passage of oversized cargo, the determination of values of radii of corners, widths and heights for the transport of cargoes and the distance from solid obstacles. The precondition for the above-mentioned outputs is the practical use of results in planning the transport infrastructure on the entire communication network and the possibility of its application for designing activities associated with the construction or reconstruction of intersections on routes of frequent transport of excessive and oversized cargoes and verification of critical points on the route. The outputs of the work serve as a basis for the processing of technical conditions, which include procedures and technical recommendations within the design practice in the Czech Republic but also abroad. Emphasis is placed on sustainable, safe and economic transport infrastructure.

Spatial interdependence of fractal dimension and topological parameters of road network: a geographically weighted regression approach

Road networks are spatial entities that display several geometric, topological variations and fractal nature. The study of the varied properties of road networks is of paramount importance in the field of urban and transport planning. This exploratory research paper aims to study the topological parameters of the road network of Tiruchirappalli city in Tamil Nadu, India based on Graph theory at different scales, i.e., by considering the road network of the study area as 65 wards, 4 zones and the city as a whole entity. The parameters considered in this study include connectivity indices, coverage indices and fractal dimension. Correlation analysis followed by regression analysis is carried out to find the relationship between the variables. The interrelationship between the deduced fractal dimension and other topological parameters of the road network are explored using analytical modelling technique alternatives like Ordinary Least Square (OLS) regression and Geographically Weighted Regression (GWR) by using Geographical Information System (GIS). Results prove that fractal dimension is an indicator of coverage and the fractal dimension of the road network in Tiruchirappalli corporation has a value 1.549 when considered as a whole. It is found that the Geographically Weighted Regression model provides a better fit compared to the ordinary least square regression model. The superiority of the GWR model over the OLS model is because it takes into account the variation of entities over a spatial region. Accessibility analysis for the 65 wards is performed using Shimbel index and it was ascertained that the central wards showed greater accessibility.

GIS-Based Urban Road Network Accessibility Modeling Using MLR, ANN and ANFIS Methods

Abstract A sustainable transportation system is possible only through an efficient evaluation of transportation network performance. The efficiency of the transport network structure is analyzed in terms of its connectivity, accessibility, network development, and spatial pattern. This study primarily aims to propose a methodology for modeling the accessibility based on the structural parameters of the urban road network. Accessibility depends on the arrangement of the urban road network structure. The influence of the structural parameters on the accessibility is modeled using Multiple Linear Regression (MLR) analysis. The study attempts to introduce two methods of Artificial Intelligence (AI) namely Artificial Neural Networks (ANN) and Adaptive network-based neuro-fuzzy inference system (ANFIS) in modeling the urban road network accessibility. The study also focuses on comparing the results obtained from MLR, ANN and ANFIS modeling techniques in predicting the accessibility. The results of the study present that the structural parameters of the road network have a considerable impact on accessibility. ANFIS method has shown the best performance in modeling the road network accessibility with a MAPE value of 0.287%. The present study adopted Geographical Information Systems (GIS) to quantify, extract and analyze different features of the urban transportation network structure. The combination of GIS, ANN, and ANFIS help in improved decision-making. The results of the study may be used by transportation planning authorities to implement better planning practices in order to improve accessibility.

Analisis Potensi Lahan Pertanian Pangan Berkelanjutan Di Kabupaten Lamongan Tahun 2018

This study aims to analyze the potential of sustainable food agriculture land in Lamongan District in 2018. This research emphasizes the potential of sustainable food agriculture land based on Lamongan District Regulation Number 15 Year 2011 concerning Spatial Planning for Lamongan Regency in 2011-2031. The research method used is a quantitative research that emphasizes analytical techniques in GIS (Geographic Information Systems), namely overlay and buffering maps. Map overlay is done between the map of agricultural land use with a map of the carrying capacity agricultural land in Lamongan Regency. Then doing a map buffering analysis technique based on road network parameters. The results showed that the potential area for sustainable food agriculture in Lamongan Regency in 2018 was 45,627.54 hectares or 25.17% of the area of Lamongan Regency.

Simulation and comparison of two fusion methods for macroscopic fundamental diagram estimation

Accurate estimation of macroscopic fundamental diagram (MFD) is the precondition of MFD’s application. At present, there are two traditional estimation methods of road network’s MFD, such as the loop detector data (LDD) estimation method and the floating car data (FCD) estimation method, but there are limitations in both traditional estimation methods. In order to improve the accuracy of road network MFD estimation, a few scholars have studied the fusion method of road network MFD estimation, but there are still some shortcomings on the whole. However, based on the research of adaptive weighted averaging (AWA) fusion method for MFD estimation of road network, I propose to use the MFD’s two parameters of road network obtained by LDD estimation method and FCD estimation method, and establish a back-propagation neural network data fusion model for MFD parameters of road network (BPNN estimation fusion method), and then the micro-traffic simulation model of connected-vehicle network based on Vissim software is established by taking the intersection group of the core road network in Tianhe District of Guangzhou as the simulation experimental area, finally, compared and analyzed two MFD estimation fusion methods of road network, in order to determine the best MFD estimation fusion method of road network. The results show that the mean absolute percent error (MAPE) of the parameters of road network’s MFD and the average absolute values of difference values of the state ratio of road network’s MFD are both the smallest after BPNN estimation fusion, which is the closest to the standard MFD of road network. It can be seen that the result of BPNN estimation fusion method is better than that of AWA estimation fusion method, which can improve the accuracy of road network MFD estimation effectively.

НЕЙРОСЕТЕВЫЕ ПОДХОДЫ К УПРАВЛЕНИЮ ПОТОКАМИ ТРАНСПОРТА

A problem of optimal urban traffic flows control is considered. A mathematical model of control by the traffic lights at intersections using the controlled networks theory is given. It is a system of nonlinear finite-differential equations. To present a large scale road networks the model contains the connection matrices that describe interactions between input and output roads in subnetworks. The traffic flow control is performed by the coordination of active phases of traffic lights. A control goal is to minimize the difference between the total input flow and total output flow for all subnetworks. In this paper, a neural network approach for urban traffic road network parameters adjustment is presented. A simulation is conducted under a microscopic traffic simulation software CTraf. Results demonstrate that neural network reinforcement training obtain good parameters of the network model.

Методика оценки влияния параметров улично-дорожной сети и дорожного движения на уровень аварийности

Методика оценки влияния параметров улично-дорожной сети и дорожного движения на уровень аварийности

Road Traffic Modeling using Data Communication Networks

Nowadays the world became filled by several vulnerable problems that need to a quick solution and occupies the thinking of most people. From these problems the Road Network traffic crises that produces congestion, collision and … etc, thus a lot of issues are effected, such that working times, people psychology and so on. So we need to find an effective solution under the world financial crisis circumstances and surrounding environment, means that a solution achieve low cost, where from the suggested solutions for reducing or facilitation the traffic motion problems mainly are depending on the mobile communication (cell phone, GPS, Satellite… etc.), but it need to more funding. We find that the Data Network can perform the wanted aim due to the fast development nowadays of the computer systems and technologies, where we look forward to reach to certain model based on complete mapping between all Road Network parameters and the corresponding in the Data Network. This paper will discuss a mapping between Road Network parameters and Data Network parameters that will be used to get the model.