A Web-Oriented Approach for Urban Road Traffic Simulation

Golovnin, Oleg; Pupynin, K. V.; Privalov, A. S.

doi:10.1109/fareastcon.2019.8934302

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…Wang et al [17] explored different methods of correcting the traffic simulation models based on linear regression. Golovnin et al [20] took a web-oriented approach to simulate road traffic, especially in urban settings. Mizuta et al [21] evaluated the traffic flow near intersections of a metropolitan city to understand how agent-based traffic simulators work to approximate vehicle behaviors.…”

Section: Background and Related Workmentioning

confidence: 99%

RegTraffic: A Regression based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization

Mostafi

Alghamdi

Elgazzar

2022

2022 International Joint Conference on Neural Networks (IJCNN)

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Traffic simulation is a great tool to demonstrate complex traffic structures which can be extremely useful for the planning, development, and management of road traffic networks. Current traffic simulators offer limited features when it comes to interactive and adaptive traffic modeling. This paper presents RegTraffic, a novel interactive traffic simulator that integrates dynamic regression-based spatiotemporal traffic analysis to predict congestion of intercorrelated road segments. The simulator models traffic congestion of road segments depending on neighboring road links and temporal features of the dynamic traffic flow. The simulator provides a user-friendly web interface to select road segments of interest, receive user-defined traffic parameters, and visualize the traffic for the flow of correlated road links based on the user inputs and the underlying correlation of these road links. Performance evaluation shows that RegTraffic can effectively predict traffic congestion with a Mean Squared Error of 1.3 Km/h and a Root Mean Squared Error of 1.71 Km/h. RegTraffic can effectively simulate the results and provide visualization on interactive geographical maps.

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Section: Background and Related Workmentioning

confidence: 99%

RegTraffic: A Regression based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization

Mostafi

Alghamdi

Elgazzar

2022

2022 International Joint Conference on Neural Networks (IJCNN)

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“…As a modeling tool, the open-source microscopic simulator SUMO was chosen, which simulates various modes of transport, as well as pedestrian traffic, in addition, it supports the simulation of large road networks [13]. The toolkit is implemented using the approach described in [14].…”

Section: Introductionmentioning

confidence: 99%

A Microscopic Traffic Simulation Web Toolkit

Pupynin¹,

Golovnin²

2020

Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)

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There is presented a software toolkit for urban traffic simulation. The advantages of the toolkit are defined by using software implementation based on a web-oriented approach that does not require the installation of any programs as well as high-performance hardware. In order to increase the modeling efficiency, the toolkit uses layers: road network elements are placed on the first unchanged static layer; vehicles are placed on the second dynamic layer. Vehicles are redrawn at each modeling step; the road network is redrawn on demand. The software toolkit is based on SUMO traffic flow simulator by TraCI protocol for data transfer. The paper describes a component and structural diagrams of toolkit architecture and contains developed data processing algorithms. The technique of hardware optimization required for traffic modeling is implemented through the use of design patterns. The graphical user interface of the toolkit for changing modeling parameters during the simulation is presented. Modeling on a section of the road network of Samara, Russia was carried out. Based on the results of this modeling, restrictions are imposed on the size of the simulated road network and on the number of vehicles: total area of road network should not exceed 3 square km, while the number of road network elements should not exceed 10000, the total number of vehicles should not exceed 5000.

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“…The semantics of the properties of the network-centric model: self-organization, openness, weak hierarchy in the decisionmaking circuit and the ability to generate goals within oneself, multi-agent. Models of objects of transport infrastructure interact in a single information space [6][7][8][9]. The network-centric principle of management is the construction of control zones intended for making management decisions and exchanging information between zone control centers (Figure 1).…”

mentioning

confidence: 99%

Digital Transformation of Network-Centric Geo-Visualization Transport Infrastructure

Mikheeva¹,

Mikheev²,

Тихонов³

et al. 2020

Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)

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The article describes the digital transformation of geo-visualization of network-centric management in the environment of the intelligent transport geographic information system ITSGIS with subsequent visualization and deployment of geo-objects of the transport infrastructure on an electronic map. The task of network-centric management of transport objects and processes is considered as a digital transformation with visualization of geo objects of the transport infrastructure. Methods of managing transport objects, processes, and a methodology for conducting a simulation experiment within the framework of a designed decision support system for managing transport infrastructure in local areas of coordinated management are considered. The described intellectual transport geographic information system "ITSGIS" is distinguished by the availability of developed means of supporting the simulation environment, which provide ease of modification and expansion of the range of research tasks based on patterns and neural networks. ITSGIS is based on the digital transformation of geo-visualization of network-centric management, on modern information technology, which combines the possibility of interaction of various geo objects with a database, including transport infrastructure, with data visualization on thematic layers of an interactive geographic electronic map. Certification of the transport network allows you to show in detail the scheme of the settlement, the coverage of roads, the length and status to which this road belongs.

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A Web-Oriented Approach for Urban Road Traffic Simulation

Cited by 4 publications

References 11 publications

RegTraffic: A Regression based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization

RegTraffic: A Regression based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization

A Microscopic Traffic Simulation Web Toolkit

Digital Transformation of Network-Centric Geo-Visualization Transport Infrastructure

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