Discrete event simulation of a road intersection integrating V2V and V2I features to improve traffic flow

Benzaman, Ben; Sharma, Deepak

doi:10.1109/wsc.2017.8248026

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…The traffic simulation model was not fully representative of the actual scenario, as it made the assumption that if one link was in the green phase, the other three links would automatically be in the red phase. In their study, Benzaman & Sharma [3] developed a discrete event simulation model for a traffic light control system at a single intersection. The Journal of Computer and Communications model was based on a Queueing theory approach, specifically utilizing an accelerated traffic discharging model.…”

Section: Simulation Model Integrating V2v and V2i Featuresmentioning

confidence: 99%

“…In traffic control systems, as decisions are frequently made in real-time in response to altering circumstances, it can be difficult to incorporate real-time decision-making into a discrete event simulation. It has been affirmed that given certain complex conditions, DEVS can be deficient in managing real-time control as smoothly as dedicated control algorithms [3], despite the fact that it can provide insights into the overall system behavior. In addition, it is difficult to validate and verify the accuracy of a DEVS model, especially when comparing simulation results with real-world data [4].…”

Section: Introductionmentioning

confidence: 99%

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Discrete Event Simulation-Based Evaluation of a Single-Lane Synchronized Dual-Traffic Light Intersections

Calistus,

Martin,

Monday

et al. 2023

JCC

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This research involved an exploratory evaluation of the dynamics of vehicular traffic on a road network across two traffic light-controlled junctions. The study uses the case study of a one-kilometer road system modelled on Anylogic version 8.8.4. Anylogic is a multi-paradigm simulation tool that supports three main simulation methodologies: discrete event simulation, agent-based modeling, and system dynamics modeling. The system is used to evaluate the implication of stochastic time-based vehicle variables on the general efficiency of road use. Road use efficiency as reflected in this model is based on the percentage of entry vehicles to exit the model within a one-hour simulation period. The study deduced that for the model under review, an increase in entry point time delay has a domineering influence on the efficiency of road use far beyond any other consideration. This study therefore presents a novel approach that leverages Discrete Events Simulation to facilitate efficient road management with a focus on optimum road use efficiency.The study also determined that the inclusion of appropriate random parameters to reflect road use activities at critical event points in a simulation can help in the effective representation of authentic traffic models. The Anylogic simulation software leverages the Classic DEVS and Parallel DEVS formalisms to achieve these objectives.

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Section: Simulation Model Integrating V2v and V2i Featuresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Discrete Event Simulation-Based Evaluation of a Single-Lane Synchronized Dual-Traffic Light Intersections

Calistus,

Martin,

Monday

et al. 2023

JCC

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“…A fuzzy c-means clustering algorithm was applied to classify the traffic flow pattern which eventually ameliorated the signal control and traffic capacity [13]. Vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) was integrated into three simulation models to compare the system efficiency, total time, waiting time and WIP [14].…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis and Optimization of Traffic Congestion at Single Intersection Using Matlab and Arena Simulation

Roy¹,

Ghosh²,

Zoha³

et al. 2020

ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)

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Traffic jam is one of the most widespread problems commonly seen all over the world that causes loss of billions of dollars and useful hours per annum. Traffic lights are used at the intersections to manage the traffic flow, but one problem of those traffic lights is that the color changes at constant intervals irrespective of the traffic density or time of the day. As a result, the measure fails to keep the optimal traffic flow throughout the day at every convergence. This study describes a possible and effective method to systemize traffic lights by considering the traffic density for a specific time of the day. The range of idle time or waiting time within the queue is identified as a function of cycle time, effective green time and traffic arrival rate. After plotting the values within the graph, the trend is observed for idle time with reference to these variables. The lower and upper bound for these independent variables like cycle time, effective green time and traffic arrival rate are decided from observed data sets. As the idle time comes in the form of a range, an estimation of traffic congestion at a particular time is yielded from the method. This traffic flow is analyzed using Arena. The result of idle time using Arena is analogous with the previously analyzed model using MATLAB. Also, at the end of the study, a simulation video is generated that gives practical visual experience.

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“…The survey study about V2V communication, For example, a survey study [6], found that V2V communication can improve traffic flow efficiency by allowing vehicles to coordinate their movements and optimize routes. Another study [7] demonstrated the feasibility of discrete event simulation of a road intersection that integrates V2V and V2I (vehicle-to-infrastructure) features to improve traffic flow. V2V communication can occur between OBUs (onboard units) or through intermediaries such as RSUs (roadside units) [8].…”

Section: Introductionmentioning

confidence: 99%

V2V Communication in Smart Traffic Systems: Current status, challenges and future perspectives

Yogha Bintoro,

SDH Permana,

Ade Syahputra

et al. 2024

processor

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Implementing V2V communication in intelligent traffic systems has been a topic of growing interest due to its potential to improve road safety and traffic flow. However, the widespread adoption of V2V communication in intelligent traffic systems could be enhanced by various challenges, such as infrastructure cost, security, and interoperability. These challenges must be addressed to improve the potential benefits of V2V communication. The problem statement of this study is to examine the potential benefits and challenges of V2V communication in intelligent traffic systems and provide insights into the current state of the art in V2V communication research. The proposed approach is to conduct a literature review of recent research on V2V communication in intelligent traffic systems to identify the potential benefits and challenges of V2V communication and the current state of the art in V2V communication research. The study aims to contribute to the field by comprehensively understanding the implementation of V2V communication in intelligent traffic systems and informing potential future research in this area. V2V communication can improve road safety and traffic flow in intelligent traffic systems. However, more research is needed to address the challenges and develop advanced and cost-effective V2V communication systems.

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Discrete event simulation of a road intersection integrating V2V and V2I features to improve traffic flow

Cited by 7 publications

References 11 publications

Discrete Event Simulation-Based Evaluation of a Single-Lane Synchronized Dual-Traffic Light Intersections

Discrete Event Simulation-Based Evaluation of a Single-Lane Synchronized Dual-Traffic Light Intersections

Analysis and Optimization of Traffic Congestion at Single Intersection Using Matlab and Arena Simulation

V2V Communication in Smart Traffic Systems: Current status, challenges and future perspectives

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