A Hybrid Systems Approach to Modeling Real-Time Situation-Awareness Component of Networked Crash Avoidance Systems

Moradi-Pari, Ehsan; Tahmasbi-Sarvestani, Amin; Fallah, Yaser P.

doi:10.1109/jsyst.2014.2312172

Cited by 29 publications

(20 citation statements)

References 17 publications

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“…The CCW application, which is FCW here, is simple to model as it only involves relatively straightforward calculations; however, the communication model can become very complex as it has been observed in our other recent work [22] [24]. A communication model can be as elaborate as a simulation model, or defined in abstract mathematical forms [22] [24]. In this paper we use mathematical models (already verified using simulation) since they allow much faster runtime.…”

Section: System Modeling For Performance Evaluationmentioning

confidence: 99%

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Analysis of the coupling of communication network and safety application in cooperative collision warning systems

Fallah

Khandani

2015

Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems

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Cooperative collision avoidance systems rely on communication between vehicles to achieve the objective of automated or human-dependent crash avoidance. In this paper we investigate the mutual coupling of communication component and the safety application in cooperative collision warning systems. These systems are warning based collision avoidance systems that are currently under field test. We present a comprehensive co-simulation modeling framework which allows modeling and study of the entire system including vehicle dynamics, communication protocols, and collision detection/warning algorithms. Using this model, we show that in designs where the safety application and communication components are designed separately and agnostic to each other, system performance requires significantly higher network resources. Alternate content-and network-aware design strategies are shown to significantly reduce the required resources, resulting in significant reliability improvements. However, the cost of such strategies is mutual coupling of the performance of safety application and communication components. We show that such coupling can be effectively controlled in desired operation ranges for each component, leading to robust systems. The presented framework introduces a method for the study of a wide spectrum of communication dependent vehicular cyber-physical systems.

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Section: System Modeling For Performance Evaluationmentioning

confidence: 99%

“…We presented a hybrid systems based model for CVS, including its networking component in [24]. However this hybrid system model is too complex for the needs of the evaluation framework in this paper.…”

Section: V2v Network Modelmentioning

confidence: 99%

Analysis of the coupling of communication network and safety application in cooperative collision warning systems

Fallah

Khandani

2015

Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems

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“…A V2V network can be modeled at different levels of complexity; for example mathematical models like stochastic and hybrid systems can be developed [4] [12]. In this study we consider the stochastic model since system performance is also studies in similar terms.…”

Section: A Performance Measures For Different Componentsmentioning

confidence: 99%

“…The neighborhood of each vehicle can be up to a few hundred meters. The use of ad-hoc 802.11 network introduces many challenges in the vehicular broadcast network, such as scalability issue and the hidden nodes phenomenon [4].…”

Section: Introductionmentioning

confidence: 99%

Robustness of cooperative forward collision warning systems to communication uncertainty

Iranmanesh

Moradi-Pari

Fallah

et al. 2016

2016 Annual IEEE Systems Conference (SysCon)

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Cooperative collision avoidance systems rely on communication between vehicles to detect possibility of collision. In this paper, we present a systematic approach to study the performance of emerging communication based vehicle safety systems. Examples of such systems include forward collision warning (FCW) application. We employ a cosimulation tool that we have developed jointly in collaboration with industry partners for this purpose. The tool allows joint study of the safety application and its underlying communication system. We utilize this tool and study the impact of communication uncertainties on a new variation of the FCW algorithm that has been designed by the team. In this paper, the impact of communication loss and the choice of signal communication logic are examined. It is shown that the relationship between communication loss and accuracy of hazard detection algorithm is non-linear. It is also shown that employing error-dependent communication logic will yield considerable gains in communication or accuracy of tracking and hazard detection. Network awareness in communication logic is also demonstrated to be beneficial in high communication loss situations.

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“…Autonomous vehicles can help minimize traffic deaths. Meanwhile, the demand for autonomous vehicles has been rising dramatically to avoid accidents [6]. Furthermore, outdoor localization is of prime importance in the transportation domain, particularly, for autonomous vehicles, which requires localizing other vehicles from the host vehicle (HV) in road environments such as highways.…”

Section: Introductionmentioning

confidence: 99%

A New Vehicle Localization Scheme Based on Combined Optical Camera Communication and Photogrammetry

Hossan

Chowdhury

Hasan

et al. 2018

Mobile Information Systems

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The demand for autonomous vehicles is increasing gradually owing to their enormous potential benefits. However, several challenges, such as vehicle localization, are involved in the development of autonomous vehicles. A simple and secure algorithm for vehicle positioning is proposed herein without massively modifying the existing transportation infrastructure. For vehicle localization, vehicles on the road are classified into two categories: host vehicles (HVs) are the ones used to estimate other vehicles' positions and forwarding vehicles (FVs) are the ones that move in front of the HVs. The FV transmits modulated data from the tail (or back) light, and the camera of the HV receives that signal using optical camera communication (OCC). In addition, the streetlight (SL) data is considered to ensure the position accuracy of the HV. Determining the HV position minimizes the relative position variation between the HV and FV. Using photogrammetry, the distance between FV or SL and the camera of the HV is calculated by measuring the occupied image area on the image sensor. Comparing the change in distance between HV and SLs with the change in distance between HV and FV, the positions of FVs are determined. The performance of the proposed technique is analyzed, and the results indicate a significant improvement in performance. The experimental distance measurement validated the feasibility of the proposed scheme. Keywords-Vehicle localization, vehicle-to-vehicle communication, vehicle-to-infrastructure communication, optical camera communication, photogrammetry.

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A Hybrid Systems Approach to Modeling Real-Time Situation-Awareness Component of Networked Crash Avoidance Systems

Cited by 29 publications

References 17 publications

Analysis of the coupling of communication network and safety application in cooperative collision warning systems

Analysis of the coupling of communication network and safety application in cooperative collision warning systems

Robustness of cooperative forward collision warning systems to communication uncertainty

A New Vehicle Localization Scheme Based on Combined Optical Camera Communication and Photogrammetry

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