VENTOS: Vehicular Network Open Simulator with Hardware-in-the-Loop Support

Amoozadeh, Mani; Ching, Bryan; Chuah, Chen-Nee; Ghosal, Dipak; Zhang, H. Michael

doi:10.1016/j.procs.2019.04.012

Cited by 39 publications

(11 citation statements)

References 19 publications

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“…Many algorithms such as trajectory planning and control were verified using these systems. Zhang E et al [16][17][18][19] enhanced the evaluation capability of the testbed. However, their OBU tests are all small in number and only guarantee functional tests in environments with good communication quality, but not in congested environments.…”

Section: Related Workmentioning

confidence: 99%

A Hardware-in-the-Loop V2X Simulation Framework: CarTest

Wang

Zhu

2022

Sensors

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Vehicle to Everything (V2X) technology is fast evolving, and it will soon transform our driving experience. Vehicles employ On-Board Units (OBUs) to interact with various V2X devices, and these data are used for calculation and detection. Safety, efficiency, and information services are among its core uses, which are currently in the testing stage. Developers gather logs during the real field test to see if the application is fair. Field testing, on the other hand, has low efficiency, coverage, controllability, and stability, as well as the inability to recreate extreme hazardous scenarios. The shortcomings of actual road testing can be compensated for by indoor testing. An HIL-based laboratory simulation test framework for V2X-related testing is built in this study, together with the relevant test cases and a test evaluation system. The framework can test common applications such as Forward Collision Warning (FCW), Intersection Collision Warning (ICW) and others, as well as more advanced features such as Cooperative Adaptive Cruise Control (CACC) testing and Global Navigation Satellite System (GNSS) injection testing. The results of the tests reveal that the framework (CarTest) has reliable output, strong repeatability, the capacity to simulate severe danger scenarios, and is highly scalable, according to this study. Meanwhile, for the benefit of researchers, this publication highlights several relevant HIL challenges and solutions.

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Section: Related Workmentioning

confidence: 99%

A Hardware-in-the-Loop V2X Simulation Framework: CarTest

Wang

Zhu

2022

Sensors

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“…The VENTOS (Vehicular NeTwork Open Simulator) is a new open-source integrated simulation framework [8]. It is made up of various modules, including OMNET++, and Simulation of Urban Mobility (SUMO).…”

Section: Verification With Ventosmentioning

confidence: 99%

“…We modeled perception failures of the leader vehicle such as the failure caused by dense fog, communication failure, and ego-motion estimation failure using our proposed R-STD to see their effectiveness. Furthermore, VENTOS simulator [8] is used to verify the resulting resilient transitions of R-STD.…”

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confidence: 99%

Fault-Tolerance by Resilient State Transition for Collaborative Cyber-Physical Systems

2021

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Collaborative Cyber-Physical Systems (CCPS) are systems where several individual cyber-physical systems collaborate to perform a single task. The safety of a single Cyber-Physical System (CPS) can be achieved by applying a safety mechanism and following standard processes defined in ISO 26262 and IEC 61508. However, due to heterogeneity, complexity, variability, independence, self-adaptation, and dynamic nature, functional operations for CCPS can threaten system safety. In contrast to fail-safe systems, where, for instance, the system leads to a safe state when an actuator shuts down due to a fault, the system has to be fail-operational in autonomous driving cases, i.e., a shutdown of a platooning member vehicle during operation on the road is unacceptable. Instead, the vehicle should continue its operation with degraded performance until a safe state is reached or returned to its original state in case of temporal faults. Thus, this paper proposes an approach that considers the resilient behavior of collaborative systems to achieve the fail-operational goal in autonomous platooning systems. First, we extended the state transition diagram and introduced additional elements such as failures, mitigation strategies, and safe exit to achieve resilience in autonomous platooning systems. The extended state transition diagram is called the Resilient State Transition Diagram (R-STD). Second, an autonomous platooning system’s perception, communication, and ego-motion failures are modeled using the proposed R-STD to check its effectiveness. Third, VENTOS simulator is used to verify the resulting resilient transitions of R-STD in a simulation environment. Results show that a resilient state transition approach achieves the fail-operational goal in the autonomous platooning system.

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“…In SDNs, BSs, and RSUCs, services deployed in console virtual machines require a coordination method to disseminate information about data transfer policy changes and service hosting. In the process of creating, replicating, and moving services, you'll also require a coordination mechanism [15].…”

Section: Introductionmentioning

confidence: 99%

OLSR Protocol based on Fog Computing and SDN in VANet

Saadoon¹

2022

Global J. Eng. Tech. Adv.

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Wireless technology has been the subject of a lot of study in recent years. VANET is the fastest-growing area in wireless communications. The Vehicle Ad-Hoc Network (VANet) is a subtype of the Mobile Ad-Hoc Network (MANet) that is used to enhance road safety and passenger experience, giving a unique perspective on intelligent transportation systems. This wireless invention is supposed to improve road safety and efficiency as part of the Intelligent Transportation System. Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) techniques that enable IEEE 802.11p wireless access technologies deliver applications (secure/unsecure) while exchanging information to avert an accident and provide travelers with trustworthy information make up the VANET. As an end result of investments in independent cars, new network technology including SDN, side computing, and VANET studies are being introduced, causing VANET simulators to review their assist for those new capabilities. In this paper, we offer an SDN-compliant solution for managing wireless fog networks by combining open Flow and IP transfer protocols in a way that provides a flexible and configurable wireless data plane for fog networks in addition intelligent traffic engineering for network offloading. The proposal includes an efficiency rating for connections with decreased latency, flexible load balancing to select the quickest way, and lower network cost.

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VENTOS: Vehicular Network Open Simulator with Hardware-in-the-Loop Support

Cited by 39 publications

References 19 publications

A Hardware-in-the-Loop V2X Simulation Framework: CarTest

A Hardware-in-the-Loop V2X Simulation Framework: CarTest

Fault-Tolerance by Resilient State Transition for Collaborative Cyber-Physical Systems

OLSR Protocol based on Fog Computing and SDN in VANet

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