Performance Evaluation of an IoV-Based Intersection Traffic Control Approach

Saeed, Iman; Elhadef, Mourad

doi:10.1109/cybermatics_2018.2018.00296

Cited by 5 publications

(1 citation statement)

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“…no latency and message loss), however, in the real world applications the reliability of communication networks might be affected by various factors [3][4]. Several studies investigate communication networks performance in connected vehicles environment [5][6] and while the effect of information transmission quality on vehicles' routing decisions in a signalized urban network has been investigated [7], the direct, real-time impact of imperfect communication on traffic control decisions at signalized intersections is less studied. As a field test validation of various traffic scenarios in connected vehicle environment might be too expensive and complex to set up, a common practice in traffic control research is to create simulation models.…”

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confidence: 99%

A Framework Coupling VISSIM and OMNeT++ to Simulate Future Intelligent Transportation Systems

Petrov¹,

Finkelberg²,

Zarkhin³

et al. 2021

Komunikácie

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With the spread of connected vehicles (CVs), a growth of novel information services exploiting data transmitted by CVs is expected. Wireless communication systems, in particular in vehicular applications, operate with a varying level of transmission reliability, which may affect the quality of V2X-data-driven intelligent transport systems (ITS). Therefore, the performance of ITS should be evaluated in a variety of conditions and the configuration of parameters should be fine-tuned in a safe testbed, using computer simulations. A simple framework is presented, which couples VISSIM traffic simulation and OMNeT++ communication networks simulation in real time, enabling an assessment of the relationship between a communication reliability and transport service quality. A functionality of the framework is demonstrated by applying it to a scheme controlling signalized intersections while estimating traffic flows from the V2I data.

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confidence: 99%

A Framework Coupling VISSIM and OMNeT++ to Simulate Future Intelligent Transportation Systems

Petrov¹,

Finkelberg²,

Zarkhin³

et al. 2021

Komunikácie

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Fine-Grain Traffic Control for Smart Intersections

Bellitto

Schenone

Bellotti

et al. 2020

Lecture Notes in Electrical Engineering

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Recent advances in artificial intelligence and wireless communication technologies have created great potential to reduce congestion in urban networks. In this research, we develop a stochastic analytical model for optimal control of communicant autonomous vehicles (CAVs) at smart intersections. We present the automated network fundamental diagram (ANFD) as a macro-level modeling tool for urban networks with smart intersections. In the proposed cooperative control strategy, we make use of the headway between the CAV platoons in each direction for consecutive passage of the platoons in the crossing direction through non-signalized intersections with no delay. For this to happen, the arrival and departure of platoons in crossing directions need to be synchronized. To improve system robustness (synchronization success probability), we allow a marginal gap between arrival and departure of the consecutive platoons in crossing directions to make up for operational error in the synchronization process. We then develop a stochastic traffic model for the smart intersections. Our results show that the effects of increasing the platoon size and the marginal gap length on the network capacity are not always positive. In fact, the capacity can be maximized by optimizing these cooperative control variables. We analytically solve the traffic optimization problem for the platoon size and marginal gap length and derive a closed-form solution for a normal distribution of the operational error. The performance of the network with smart intersections is presented by a stochastic ANFD, derived analytically and verified numerically using the results of a simulation model. The simulation results show that optimizing the control variables increases the capacity by 138% when the error standard deviation is 0.1s.

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Performance Evaluation of Citywide Intersections Traffic Control Algorithm inVANETs-Based

Hasan

Elhadef

2020

Internet of Vehicles. Technologies and Services Toward Smart Cities

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Performance Evaluation of an IoV-Based Intersection Traffic Control Approach

Cited by 5 publications

References 24 publications

A Framework Coupling VISSIM and OMNeT++ to Simulate Future Intelligent Transportation Systems

A Framework Coupling VISSIM and OMNeT++ to Simulate Future Intelligent Transportation Systems

Fine-Grain Traffic Control for Smart Intersections

Performance Evaluation of Citywide Intersections Traffic Control Algorithm inVANETs-Based

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