Vehicle Safety Systems
199 resources related to Vehicle Safety Systems
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Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies
The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.
The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
The purpose of TDSC is to publish papers in dependability and security, including the joint consideration of these issues and their interplay with system performance. These areas include but are not limited to: System Design: architecture for secure and fault-tolerant systems; trusted/survivable computing; intrusion and error tolerance, detection and recovery; fault- and intrusion-tolerant middleware; firewall and network technologies; system management ...
2016 Annual IEEE Systems Conference (SysCon), 2016
Information exchange for the purpose of creating situational awareness is the backbone of distributed systems that rely on communication. For example, connected vehicle safety systems rely on exchange of information between vehicles to allow each vehicle to create a real time map of its surrounding cars. These systems work by sampling the state of a physical process (vehicle trajectory) and ...
IEEE Access, 2018
In vehicular networking, the heavy traffic can cause channel congestion and hence, degrade the tracking accuracy of cooperative vehicle safety systems. To overcome this problem, a dynamic packet reception model that integrates the packets reception rate and the vehicle density is proposed. Then, a traffic- flow-based vehicle density estimation method is designed. This estimation method is capable of predicting the ...
IEEE Transactions on Vehicular Technology, 2017
Cooperative vehicle safety systems (CVSSs) rely on vehicular networking for broadcasting state information in order to track neighbors' positions and, therefore, to predict potential collisions. In vehicular networking, a large number of vehicles compete for access to the limited channel resource, causing channel congestion. The vehicle tracking accuracy, which is the basis for CVSSs, therefore, can be heavily affected. Moreover, ...
2011 IEEE Vehicular Technology Conference (VTC Fall), 2011
Scalability is one of the main challenges of cooperative vehicle safety (CVS) systems. In this paper, we describe a demonstration of the scalability solution that we have developed for CVS. The solution is an adaptive communication scheme for safety messages. The demo comprises of a demonstration of the rate control algorithm using recorded vehicle trajectories, and a live demonstration of ...
2010 IEEE International Conference on Systems, Man and Cybernetics, 2010
In the paper User adaptive design of active vehicle safety systems with regard to the driver behavior of elderly drivers the research project Evaluation of active vehicle safety systems and components in regard to their safety impact on elderly drivers is presented, including its most striking results. The project is funded by the Federal Ministry of Transport, Building and Urban ...
CASS Lecture with Dr. Claude Gauthier, "Automotive Ethernet and Functional Safety"
2015 IEEE Honors: IEEE Medal for Environmental and Safety Technologies
State-of-the art techniques for advanced vehicle dynamics control & vehicle state estimation
Transportation Electrification: The State of IEEE 802LAN MAN Standards in Vehicular Network
Transportation Electrification: Connected Vehicle Environment
2011 IEEE Medal for Environmental and Safety Technologies - Shoichi Sasaki
Cooperative Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communication and Networking Protocols
Honors 2020: Nancy Leveson Wins the IEEE Medal for Environmental & Safety Technologies
Safety Synergies and Engineering Opportunities Complex Systems in Life Sciences
Life Sciences: Mary Capelli-Schellpfeffer on engineering safety
P2020 Establishing Image Quality Standards for Automotive
Critical use cases for video capturing systems in autonomous driving applications
ICCE 2014: Automated Transportation Systems
Regenerative Energy Storage Systems for Hybrid Electric and Battery Electric Vehicles
Vint Cerf: A Globecom 2019 Keynote
Alberto Broggi accepts the IEEE Medal for Environmental and Safety Technologies - Honors Ceremony 2017
Technical Tours: Eaton
Soumya Kanti Datta: Connected Cars as Complex Systems - IoT Challenges Industry Forum Panel: WF IoT 2016
Grounding for Hybrid Vehicles
Information exchange for the purpose of creating situational awareness is the backbone of distributed systems that rely on communication. For example, connected vehicle safety systems rely on exchange of information between vehicles to allow each vehicle to create a real time map of its surrounding cars. These systems work by sampling the state of a physical process (vehicle trajectory) and communicating it to others. In this paper, we present a novel approach for communicating information of physical processes (such as vehicles) over a network using models of these processes. In this approach, traditional communication of data samples from a process is replaced by communication of models and model updates. This novel method allows each node in the distributed system to create a model-based view of its surrounding. The resulting model-based situational awareness map will have higher fidelity than only sample position information that is available through current methods. Using the example of a forward collision detection algorithm we demonstrate the significant performance improvement that is possible using this approach. We demonstrate that the system is able to maintain its performance at rates that are four times less than what current methods require.
In vehicular networking, the heavy traffic can cause channel congestion and hence, degrade the tracking accuracy of cooperative vehicle safety systems. To overcome this problem, a dynamic packet reception model that integrates the packets reception rate and the vehicle density is proposed. Then, a traffic- flow-based vehicle density estimation method is designed. This estimation method is capable of predicting the vehicle density in the scenario, where there exist strong interactions among the vehicles. Based on the vehicle density method, a dynamical transmission power control strategy is developed. This transmission power control strategy employs model predictive control to make the optimal control decisions based on the estimated vehicle density. Experimental analyses demonstrate that the dynamical power control strategy can greatly enhance the vehicle tracking performance of cooperative vehicle safety systems under dynamical traffic situation.
Cooperative vehicle safety systems (CVSSs) rely on vehicular networking for broadcasting state information in order to track neighbors' positions and, therefore, to predict potential collisions. In vehicular networking, a large number of vehicles compete for access to the limited channel resource, causing channel congestion. The vehicle tracking accuracy, which is the basis for CVSSs, therefore, can be heavily affected. Moreover, the available channel resources must be shared among vehicles in a fair way in order to maintain accurate tracking accuracy for each vehicle. To realize fair access to channel resources while maintaining an accurate tracking performance under conditions of dynamic vehicle density, in this paper, we present a distributed fair transmission rate control strategy, based on multi-agent model predictive control (MPC). We first propose a dynamic information dissemination rate model to capture the state information dissemination ability under conditions of dynamic vehicle density. Then, we present a multi-agent information dissemination model, in which each vehicle is controlled by a control agent that uses MPC and coordinates with its neighboring agents in order to determine its optimal transmission rate actions. We then design an augmented- Lagrangian-based distributed decision-making scheme to find the optimal transmission rate actions and, at the same time, reach an agreement on fair and efficient channel utilization among the vehicles. Simulation results confirm that the distributed transmission rate control strategy can guarantee fair access to channel resources while achieving the optimal vehicle tracking performance under conditions of dynamic vehicle density.
Scalability is one of the main challenges of cooperative vehicle safety (CVS) systems. In this paper, we describe a demonstration of the scalability solution that we have developed for CVS. The solution is an adaptive communication scheme for safety messages. The demo comprises of a demonstration of the rate control algorithm using recorded vehicle trajectories, and a live demonstration of the power control scheme using emulated interference. We show that the proposed algorithms are able to deliver considerably better performance than the baseline solution for CVS. The demonstration will use several DSRC units as well as visualization and simulation software for visualizing the network dynamics.
In the paper User adaptive design of active vehicle safety systems with regard to the driver behavior of elderly drivers the research project Evaluation of active vehicle safety systems and components in regard to their safety impact on elderly drivers is presented, including its most striking results. The project is funded by the Federal Ministry of Transport, Building and Urban Development (BMVBS) and aims to answer the question if active vehicle safety systems are able to support elderly people in staying mobile. Additionally, a list of criteria for designing active vehicle safety systems in the future and recommended procedures for political decisions was developed retrospectively. Therefore an extensive market research was carried out in the beginning of the project, containing a literature research, a survey with 70 elderly people and expert interviews. During the second phase test drives combined with the answering of standardized questionnaires and special workload assessments were carried out.
Composing controllers designed individually for interacting subsystems, while preserving the guarantees that each controller provides for each subsystem, is a challenging task. Motivated by this challenge, we consider in this paper the problem of synthesizing safety controllers for linear parameter-varying subsystems, where the system matrices of each subsystem depend (possibly nonlinearly) on the states of the other subsystems. In particular, we propose a method for synthesis of controlled invariant sets and associated controllers, that is robust against affine parametric uncertainties in the system matrices. Then we show for certain classes of parameter dependencies how to quantify the uncertainty imposed on the other subsystems by convexifying, with an affine map, the effects of these parameters. An analysis of this quantification is provided. In the second part of the paper, we focus on an application of this method to vehicle safety systems. We demonstrate how controllers for lane-keeping and adaptive cruise control can be synthesized in a compositional way using the proposed method. Our simulations illustrate how these controllers keep their individual safety guarantees when implemented simultaneously, as the theory suggests.
Cooperative vehicle safety systems (CVSSs) rely on vehicular ad-hoc networks (VANETs) for the delivery of critical vehicle tracking information. The wireless channel in such systems is shared by vehicles within the transmission range of each other. Due to the near-linear spatial distribution of vehicles in a highway scenario, the vehicular broadcast network is heavily affected by the hidden node interference phenomenon, which considerably limits its capacity. The performance of vehicle tracking application that is the basis for CVSS is therefore significantly affected by the performance of the underlying network. The two main parameters that affect the network condition and performance are the range and rate (frequency) of transmission of safety and tracking messages. In this paper, we analyze the effect of different choices of rate and range and present models that quantify network performance in terms of its ability to disseminate tracking information. Following a thorough analysis of the hidden node affected VANET, we show that channel occupancy or busy ratio can be used as a feedback measure that quantifies the success of information dissemination and, consequently, the CVSS, under different network conditions. These findings are used to design feedback control schemes for transmission range adaptation, which are robust to variations of road and network traffic.
Proactive vehicle safety systems based on vehicle-to-vehicle and infrastructure-to-vehicle communication are promising new approaches to reducing the number of accidents on our roads. In-vehicle applications are envisaged to provide a variety of services to the driver including warning about potential collisions and other hazardous situations. For the safe operation of these applications it is important not only to efficiently model the environment but also to reason about, and predict, how reliable such a model is under various circumstances. In this paper we propose an approach to estimating the reliability and availability of the wireless medium at hazardous locations by cooperatively detecting communication disturbances in order to allow for more accurate decisions by in-vehicle applications.
Vehicular ad hoc networks (Vanets) play a critical role in enabling essential emergency safety applications (e.g., Forward Collision Warning) and subsequently help the driver deal with emergency situations, These emergency applications have strict different QoS requirements mainly on latency time . In this work, we propose a Power Control Scheme, called PCS that adjusts the transmission power level to guarantee short delays for safety messages over 802.11p/DSRC, especially for occasional emergency messages. PCS aims to minimize contention within two-hop neighborhood of a vehicle under high- offered load conditions. Numerical results show the effectiveness of PCS scheme when coupled with either the traditional random access mechanism  or the priority-aware deterministic access protocol based on 802.11p/DSRC .
This paper presents a probabilistic and holistic prediction algorithm for vehicle states using multisensor fushion. Three concerns are mainly considered in this paper, i.e, reliable and reasonable information fusion, extension of predicted states, and real-time evaluation of prediction uncertainties. The main idea of this paper is that a state-prediction problem can be solved as a multistage optimal estimation problem based on the current vehicle motion, a road geometry description in the current body-fixed frame, a path-following behavior model, and the error covariance of each. The prediction algorithm consists of two sequential parts. The first part is estimation, which contains a vehicle filter that estimates the current vehicle states, and a road geometry filter, which approximates the road geometry. The second part is prediction, which consists of a path-following model that generates the future desired yaw rate, which acts as a virtual measurement, and a vehicle predictor, which predicts the future vehicle states by a maximum-likelihood filtering method. The prediction performance of the proposed method has been investigated via vehicle tests. Moreover, its applicability to integrated vehicle safety system (IVSS) has been validated via computer simulation studies. It is shown that the state-prediction performance can be significantly enhanced by the proposed prediction algorithm compared with conventional methods. The enhancement of the prediction performance allows for the improvement of driver assistance functions of an IVSS by providing accurate predictions about the future driving environment.
This recommended practice provides overhead contact system maintenance practices and procedures including maintenance techniques, site inspection and test procedures, and maintenance tolerances, for heavy rail, light rail, and trolley bus systems.
Motor Vehicle Event Data Recorders (MVEDRs) collect, record, store and export data related to motor vehicle pre-defined events. This standard defines a protocol for MVEDR output data compatibility and export protocols of MVEDR data elements. This standard does not prescribe which specific data elements shall be recorded, or how the data are to be collected, recorded and stored. It is ...