Review of Virtual Traffic Simulation and Its Applications

Liu, Cuijuan; Liu, Zhen; Chai, Yisheng; Liu, Tingting

doi:10.1155/2020/8237649

Cited by 8 publications

(10 citation statements)

References 62 publications

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“…The most commonly used are micro models, as, with their many adjacent parameters, a higher degree of correspondence to the real system can be achieved. Examples of popular microscopic car-following models are Gipps, Krauss, and Widermann [4,5].…”

Section: Methodology Descriptionmentioning

confidence: 99%

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Modeling Driver Behavior in Road Traffic Simulation

Mecheva¹,

Furnadzhiev²,

Kakanakov³

2022

Sensors

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Driver behavior models are an important part of road traffic simulation modeling. They encompass characteristics such as mood, fatigue, and response to distracting conditions. The relationships between external factors and the way drivers perform tasks can also be represented in models. This article proposes a methodology for establishing parameters of driver behavior models. The methodology is based on road traffic data and determines the car-following model and routing algorithm and their parameters that best describe driving habits. Sequential and parallel implementation of the methodology through the urban mobility simulator SUMO and Python are proposed. Four car-following models and three routing algorithms and their parameters are investigated. The results of the performed simulations prove the applicability of the methodology. Based on more than 7000 simulations performed, it is concluded that in future experiments of the traffic in Plovdiv it is appropriate to use a Contraction Hierarchies routing algorithm with the default routing step and the Krauss car-following model with the default configuration parameters.

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Section: Methodology Descriptionmentioning

confidence: 99%

“…Model evaluation and calibration is often complex and goal-specific. The use of real input data increases the correspondence to the real world but complicates the validation process [3,4].…”

Section: Introductionmentioning

confidence: 99%

Modeling Driver Behavior in Road Traffic Simulation

Mecheva¹,

Furnadzhiev²,

Kakanakov³

2022

Sensors

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“…Продемонстрирована возможность применения предложенной программной платформы (реализованной с использованием С++ и FLAME GPU) для задачи оценки чувствительности общего числа ДТП по отношению к важным управляющим параметрам: интенсивности прибытия и средней скорости беспилотных транспортных средств (БТС), взаимодействующих с обычными транспортными средствами (ОТС) и иными агентами интеллектуальной транспортной системы. [33,38,39]. Теоретические основы математического моделирования пространственной динамики ансамбля взаимодействующих транспортных средств были предложены в работах D. Helbing, посвященных изучению поведения людей под воздействием социальных сил [34], а также моделированию многочастичных взаимодействий в транспортных системах [35].…”

Section: новая программная платформа для моделирования транспортных п...unclassified

A novel framework for modelling traffic flows with the participation of unmanned ground vehicles

Beklaryan¹

2023

Herald of CEMI

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The article presents a new software platform for modelling traffic flows involving unmanned vehicles, using a number of advanced technological solutions, in particular, the FLAME GPU supercomputer agent modelling framework, intelligent software modules based on fuzzy and hierarchical clustering, genetic optimization algorithms, a subsystem for visualizing the state of agents-vehicles based on OpenGL, etc. As a result, it is possible to simulate the dynamics of road accidents and output traffic for various configurations of digital road networks within the “smart city” scale. The possibility of using the proposed software platform (implemented using C++ and FLAME GPU) is demonstrated for the problem of estimating the sensitivity of the total number of accidents in relation to important control parameters: arrival rate and average speed of unmanned ground vehicles interacting with usual ground vehicles and other agents of the intelligent transport system.

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“…To increase the efficiency of freight transportation, more volumes of data are available, some of them are collected in "smart" infrastructure, equipped with various sensors, connected to transmission networks [29]. This data may be combined with that coming from vehicles and other sources for various purposes:…”

Section: Chaptermentioning

confidence: 99%

Coordination of material and information flows in intercity logistics systems

Oliskevych¹,

Danchuk

Pelo

et al. 2022

Logistics Systems: Technological and Economic Aspects of Efficiency

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The problem of the effectiveness of the use of road transport in logistics systems is considered. Carriers attract additional motor vehicles according to increasing in freight turnover, namely in long-distance routes. The trend of growth in the volume of transportation and the distance of cargo transportation has been maintained in recent years, despite the crisis periods in the economies of the European Union countries. However, the increase in the number of vehicles of fleets is accompanied by an increase in their idle time and delays in the delivery of goods. This phenomenon is explained by the lack of necessary coordination of material flows on the transport network. We considered two types of material flows, namely cargo flows and automobile flows. Both types of flows are discrete in nature. In order to represent the interaction of material flows in the logistics system, the term elementary logistics operation is used, which is the smallest constant element of the logistics chain. Despite the wide variety of processes that occur in logistics systems, the number of typical elementary logistics operations is limited and quite small. For the numerical characterization of material flows, such parameters as a tact, a front, the size of a group of material elements, and the average intensity of the flow are used. Based on the known dependencies between these parameters and taking into account the connections of elementary logistics operations, a structural model of logistics chains is built. It is taken into account that information messages in the logistics system arise when material flows change. The impact of changes in the intensity of cargo flows in logistics chains has been studied and the majority of sources of information messages in space and time have been determined. It has been proven that the use of the objectively necessary amount of information with the necessary advance time makes it possible to reduce dynamic and static delays of cargo flows to a minimum. Due to the fact that changes in the intensity of material flows occur stochastically in logistics chains, the feasibility of assessing the resistance of a given logistics system to external disturbances was developed. The influence of information provision of truck crews performing transport tasks on highway connections is studied. An information support scheme has been developed on the terms of cargo delivery with the need for the truck to arrive at the unloading point on time.

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Review of Virtual Traffic Simulation and Its Applications

Cited by 8 publications

References 62 publications

Modeling Driver Behavior in Road Traffic Simulation

Modeling Driver Behavior in Road Traffic Simulation

A novel framework for modelling traffic flows with the participation of unmanned ground vehicles

Coordination of material and information flows in intercity logistics systems

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