A survey of simulation platforms for the assessment of public transport control systems

Ghariani, Nesrine; Elkosantini, Sabeur; Darmoul, Saber; Saïd, Lamjed Ben

doi:10.1109/icadlt.2014.6864088

Cited by 13 publications

(9 citation statements)

References 10 publications

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“…In spite of the fact that traffic analytical models are helpful in giving insights into traffic status, traffic simulation systems play a significant role in representing and evaluating traffic behavior under a number of circumstances [54]. Traffic simulators are also considered a key enabler in the effective implementation of smart mobility services.…”

Section: Traffic Simulation Modelsmentioning

confidence: 99%

“…The travel demand models associated with the macroscopic-based simulators have a prime focus on the traffic flow of vehicles and the vehicles' routing choices that are selected based on algorithms that optimize the vehicles' travel time. While microscopic models capture traffic, dynamic factors are processed in more detail [54]. Therefore, microscopic models are suitable when simulating traffic in large network areas.…”

Section: Traffic Simulation Modelsmentioning

confidence: 99%

“…It can simulate different elements such as buses, trucks, pedestrians, and bicycles. VISSIM uses the component object model (COM) interface, which enables users to create and deploy a custom tool in VISSIM using C++, Visual Basic, or Python [54]. The latest versions of VISSIM incorporate additional autonomous vehicle-related features (communication and cooperation among vehicles) and detailed behavior specifications.…”

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confidence: 99%

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A Comparative Study on Traffic Modeling Techniques for Predicting and Simulating Traffic Behavior

et al. 2022

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The significant advancements in intelligent transportation systems (ITS) have contributed to the increased development in traffic modeling. These advancements include prediction and simulation models that are used to simulate and predict traffic behaviors on highway roads and urban networks. These models are capable of precise modeling of the current traffic status and accurate predictions of the future status based on varying traffic conditions. However, selecting the appropriate traffic model for a specific environmental setting is challenging and expensive due to the different requirements that need to be considered, such as accuracy, performance, and efficiency. In this research, we present a comprehensive literature review of the research related to traffic prediction and simulation models. We start by highlighting the challenges in the long-term and short-term prediction of traffic modeling. Then, we review the most common nonparametric prediction models. Lastly, we look into the existing literature on traffic simulation tools and traffic simulation algorithms. We summarize the available traffic models, define the required parameters, and discuss the limitations of each model. We hope that this survey serves as a useful resource for traffic management engineers, researchers, and practitioners in this domain.

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Section: Traffic Simulation Modelsmentioning

confidence: 99%

Section: Traffic Simulation Modelsmentioning

confidence: 99%

mentioning

confidence: 99%

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A Comparative Study on Traffic Modeling Techniques for Predicting and Simulating Traffic Behavior

et al. 2022

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“…The reference framework integrates a simulation module and forms a platform for operational processes. Ghariani et al (2014) have presented a comparative analysis framework for performance assessment of existing simulation platforms used for public transport control systems [8]. A model-driven engineering framework for implementing ITS simulations for roads has been proposed in [9].…”

Section: Introductionmentioning

confidence: 99%

BIM-Based Description of Intelligent Transportation Systems for Roads

Mirboland

Smarsly

2021

Infrastructures

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Intelligent transportation systems (ITS) provide safer, greener, and more convenient mobility, while reducing the impact on the environment. In recent years, simulation platforms have been employed to study ITS applications, mostly focusing on traffic-related simulations. Despite several research studies on ITS applications and simulation platforms, formal semantic descriptions of intelligent transportation systems have not been addressed yet. In this paper, a semantic model describing intelligent transportation systems for roads is proposed. The semantic model is devised to provide a basis for designing ITS simulation platforms. Building upon the semantic model, an extension to an open building information modeling (BIM) standard, i.e., the Industry Foundation Classes (IFC) schema, is presented. The IFC schema extension is verified and validated using a BIM-based simulation scenario of ITS for roads. It is shown that the proposed IFC-compliant description of ITS for roads provides a formal basis for generating BIM-based simulations and hence facilitates ITS infrastructure modeling in BIM projects. It is concluded that the present work represents a cornerstone for designing BIM-based ITS simulation platforms. In future endeavors, potential standardization and formalization efforts may be discussed.

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“…In [13] the authors have made a comparison of seven simulators according to their ability to simulate public transport according to certain criteria such as visualization, software category (commercial or opensource), the public transport infrastructure, the characteristics of public transport vehicles as well as passengers and pedestrians. The authors concluded that the simulators, AIMSUN, VISSIM and Paramics, offer the ability to import aerial images that can be used as background and as a guide in the development of road networks.…”

Section: Related Workmentioning

confidence: 99%

A Comparative Study of Urban Road Traffic Simulators

2016

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Abstract. Road traffic management has become a worldwide concern. Several traffic simulators have been developed in order to contribute to solving traffic congestion problems. Comparative studies of simulators in this field of activity are concerned with the comparison of the simulation results with the results of the real situation; others are interested in the ability of certain platforms to simulate public transport systems. Our study aims purports to cover carryout of existing simulators in the sense that, on the one hand, poised in eleven major reviews of simulation platforms (commercial and open-source) the most used, given that the existing comparative studies do not cover all simulators we compared. On the other hand, our comparative study takes into consideration new criteria such as use wireless sensors and the ability of simulators to support GIS (Geographic Information System).

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A survey of simulation platforms for the assessment of public transport control systems

Cited by 13 publications

References 10 publications

A Comparative Study on Traffic Modeling Techniques for Predicting and Simulating Traffic Behavior

A Comparative Study on Traffic Modeling Techniques for Predicting and Simulating Traffic Behavior

BIM-Based Description of Intelligent Transportation Systems for Roads

A Comparative Study of Urban Road Traffic Simulators

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