Modeling Isolated Traffic Control Strategies in TraffSim

Lindorfer, Manuel; Backfrieder, Christian; Mecklenbräuker, Christoph F.; Ostermayer, Gerald

doi:10.1109/uksim.2017.12

Cited by 7 publications

(6 citation statements)

References 10 publications

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“…However, the simulation confirmed that congestion would not happen in this area after changes have been introduced. Isolated traffic intersection also appears in Lindorfer's et al [33] work. The authors use TraffSim to simulate four different traffic control strategies: fixed, mirrored, cyclic and self‐optimised.…”

Section: Literature Analysismentioning

confidence: 82%

Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

Rydzewski¹,

Czarnul²

2020

IET intell. transp. syst

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Over the past few decades, the increasing number of vehicles and imperfect road traffic management have been sources of congestion in cities and reasons for deteriorating health of its inhabitants. With the help of computer simulations, transport engineers optimise and improve the capacity of city streets. However, with an enormous number of possible simulation types, it is difficult to grasp valuable, innovative solutions which are of the greatest value to city citizens. In this work, the authors expose various problems within this area having reviewed and analysed over 130 papers selected out of 1200 works in the field of urban simulations. The study describes the selection process of important papers and highlights characteristics of microsimulations, macrosimulations, computation optimisations and other approaches found in the literature which are especially useful and should be further built on in the future. They present and compare results provided in reviewed works in terms of throughput improvement, queue, waiting and travel time reduction, vehicle speed increase, speed‐ups as well as assumed simulation parameters. Finally, they focus on research gaps, such as a small number of works considering crisis simulations, few real‐world scale simulations as well as on software architectural changes and low‐level optimizations.

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Section: Literature Analysismentioning

confidence: 82%

Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

Rydzewski¹,

Czarnul²

2020

IET intell. transp. syst

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“…There are also some useful traffic simulators such as FreeSim [62], Traffsim [63], SUMMIT [64], and SifTraffic [65] that are designed for either microscopic or macroscopic traffic simulation. FreeSim traffic simulator is designed to conduct traffic simulations of freeways in real-time [62].…”

Section: Traffic Simulation Modelsmentioning

confidence: 99%

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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“…Aimsun [13] is a traffic simulator for modeling smart mobility. Traffsim [14] simulator is widely used for modeling isolated traffic control strategies. SUMMIT [15] provides functionalities to simulate urban driving in large traffic scenarios with massive and mixed traffic.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Traffsim [14], SUMMIT [15], SifTraffic [16] and VISSIM [7]. These simulators have practical use cases in traffic analysis including traffic flow measurement, multi-agent simulation, particle-based simulation, and so on.…”

Section: Introductionmentioning

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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Modeling Isolated Traffic Control Strategies in TraffSim

Cited by 7 publications

References 10 publications

Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

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

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

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