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Autonomous vehicles might one day be able to implement privacy preserving driving patterns which humans may find too difficult to implement. In order to measure the difference between location privacy achieved by humans versus location privacy achieved by autonomous vehicles, this paper measures privacy as trajectory anonymity, as opposed to single location privacy or continuous privacy. This paper evaluates how trajectory privacy for randomized driving patterns could be twice as effective for autonomous vehicles using diverted paths compared to Google Map API generated shortest paths. The result shows vehicles mobility patterns could impact trajectory and location privacy. Moreover, the results show that the proposed metric outperforms both K-anonymity and KDT-anonymity.

Abstract Vehicle to Everything (V2X) allows vehicles, pedestrians, and infrastructure to share information for the purpose of preventing accidents, enhancing road safety, and improving the efficiency and energy consumption of transportation. Although V2X messages are authenticated, their content is not validated. Sensor errors or adversarial attacks can cause messages to be perturbed and, therefore, increase the likelihood of traffic jams, compromise the decision process of other vehicles, or provoke fatal crashes. In this article, we introduce V2X Core Anomaly Detection System (VCADS), a system based on the theory presented in [1] and built for the fields provided in the periodic messages shared across vehicles (i.e., Basic Safety Messages, BSMs). VCADS uses physics-based models to constrain the values in each field and detect anomalies by finding the numerical difference between a field and independent derivations of the same field.

This document applies to the development of Plans for integrating and managing COTS assemblies in electronic equipment and Systems for the commercial, military, and space markets; as well as other ADHP markets that wish to use this document. For purposes of this document, COTS assemblies are viewed as electronic assemblies such as printed wiring assemblies, relays, disk drives, LCD matrices, VME circuit cards, servers, printers, laptop computers, etc. There are many ways to categorize COTS assemblies1, including the following spectrum: At one end of the spectrum are COTS assemblies whose design, internal parts2, materials, configuration control, traceability, reliability, and qualification methods are at least partially controlled, or influenced, by ADHP customers (either individually or collectively). An example at this end of the spectrum is a VME circuit card assembly.

Abstract Testing and verifying the security of connected and autonomous vehicles (CAVs) under cyber-physical attacks is a critical challenge for ensuring their safety and reliability. Proposed in this article is a novel testing framework based on a model of computation that generates scenarios and attacks in a closed-loop manner, while measuring the safety of the unit under testing (UUT), using a verification vector. The framework was applied for testing the performance of two cooperative adaptive cruise control (CACC) controllers under false data injection (FDI) attacks. Serving as the baseline controller is one of a traditional design, while the proposed controller uses a resilient design that combines a model and learning-based algorithm to detect and mitigate FDI attacks in real-time.

It is deemed that currently the intelligent connected vehicle (ICV) is in its early stage of development, and it will go through multiple development stages in the future to realize its final goal—autonomous driving. Based on the existing ICV researches, this paper believes that ICV can be used to improve the efficiency and safety of freeway. The current research of ICV has two main directions: one focuses on the traffic flow characteristics of vehicles with different attributes, the other is concerned with using ICV to reduce congestion. From the policies issued by countries around the world and the development plans promoted by major vehicle manufacturers, the future development trends and challenges of ICV are analyzed. ICV must overcome all the shortcomings to achieve its final goal, including insufficient hardware capabilities or excessive cost, and the degree of intelligence that needs to be improved.

By looking into the vehicle-infrastructure cooperation (VIC) which is oriented towards intelligent, networked and integrated development, this paper analyzes and proposes the essence and development direction of Intelligent Vehicle Infrastructure Cooperation Systems (I-VICS). With an in-depth analysis of technologies of core importance to VIC and influence factors that constrain VIC development as a whole, the paper comes up with a technological route for VIC, and identifies a direction for vehicle-infrastructure cooperative development that progresses from primary to intermediate cooperation, then to advanced cooperation, and finally to full-fledged cooperation. Policy recommendations aiming at strengthening top-level design, building an integrated vehicle-infrastructure-cloud platform, expediting independence of key techs, building robust standards and regulations for VIC, enhancing workforce development as well as greater efforts at market promotion are put forward.

Abstract Vehicular communications face unique security issues in wireless communications. While new vehicles are equipped with a large set of communication technologies, product life cycles are long and software updates are not widespread. The result is a host of outdated and unpatched technologies being used on the street. This has especially severe security impacts because autonomous vehicles are pushing into the market, which will rely, at least partly, on the integrity of the provided information. We provide an overview of the currently deployed communication systems and their security weaknesses and features to collect and compare widely used security mechanisms. In this survey, we focus on technologies that work in an ad hoc manner. This includes Long-Term Evolution mode 4 (LTE-PC5), Wireless Access in Vehicular Environments (WAVE), Intelligent Transportation Systems at 5 Gigahertz (ITS-G5), and Bluetooth.

Abstract In the pursuit of advancing autonomous vehicles (AVs), data-driven algorithms have become pivotal in replacing human perception and decision-making. While deep neural networks (DNNs) hold promise for perception tasks, the potential for catastrophic consequences due to algorithmic flaws is concerning. A well-known incident in 2016, involving a Tesla autopilot misidentifying a white truck as a cloud, underscores the risks and security vulnerabilities. In this article, we present a novel threat model and risk assessment (TARA) analysis on AV data storage, delving into potential threats and damage scenarios. Specifically, we focus on DNN parameter manipulation attacks, evaluating their impact on three distinct algorithms for traffic sign classification and lane assist.

In recent times there has been an upward trend in "Connected Vehicles", which has significantly improved not only the driving experience but also the "ownership of the car". The use of state-of-the-art wireless technologies, such as vehicle-to-everything (V2X) connectivity, is crucial for its dependability and safety. V2X also effectively extends the information flow between the transportation ecosystem pedestrians, public infrastructure (traffic management system) and parking infrastructure, charging and fuel stations, Etc. V2X has a lot of potential to enhance traffic flow, boost traffic safety, and provide drivers and operators with new services. One of the fundamental issues is maintaining trustworthy and quick communication between cars and infrastructure. While establishing stable connectivity, reducing interference, and controlling the fluctuating quality of wireless transmissions, we have to ensure the Security and Privacy of V2I.

Digitally enabled mobility vehicles and services, including dockless bikesharing and electric scooter sharing, are generating and collecting a growing amount of mobility data. Mobility data holds great potential to support transportation officials and their efforts to manage the public right-of-way, but the unlimited distribution of mobility data carries untested risks to privacy and public trust. The Mobility Data Collaborative™ has identified the need to improve and coordinate understanding among all parties around foundational policy and legal issues to support mobility data sharing, including privacy and contracting. The guidelines are geared towards supporting a scalable mobility data sharing framework that aligns the interests of the public and private sectors while addressing privacy, transparency, data ownership, and consumer trust.

Editorial V2Reality Blockchain Unchained! The weird world of cryptocurrency exists because of the intense mathematics of blockchain technology. The mobility sector is looking beyond Bitcoin to put blockchain to work in potentially game-changing ways. Are Blockchain and 'Smart Contracts' the Secure Future? Legal risk and reward of blockchain and smart contracts as a prescription for automotive applications Software Building Blocks for AV Systems Elektrobit's unique software framework is designed to smooth development of automated driving functions. Cyber Security Goes Upstream The first cloud-based solution for connected vehicles was born in Israel and is now pilot testing at global OEMs. Electronic Architectures Get Smart Upgradable, scalable and powerful new architectures will help enable data-hungry connected, autonomous vehicles. Aptiv's VP of Mobility Architecture explains.

Steering Mazda's unique course A chassis engineer at heart, Chairman Seita Kanai challenges his engineers to think differently and embrace the Skyactiv technology that has made Mazda a benchmark. Delphi's multi-domain mindset From tackling the cyber threat to putting 48-volt hybrids with Dynamic Skip-Fire on the road, Engineering VP Mary Gustanski is harnessing a technology powerhouse. The evolving tire-development paradigm Advanced tire-simulation modeling allows tire development to keep pace with accelerated vehicle-development cycles. MEMS the word for next-gen HUDs New high-speed, quad-channel laser diode drivers are designed to beat the LCD and DLP incumbents for next-gen vehicle head-up displays.

Editorial AV lidar enters a new reality The Navigator UNECE takes first step toward AV regulation Special Delivery - by 'Bot Michigan start-up Refraction AI aims to be the go-to for last-mile, semi-autonomous, all-weather delivery robots. Lidar Infiltrates ADAS Once considered a necessity only in fully autonomous vehicles, lidar sensors are now being evaluated for lower-level driver-assistance systems. Training Data-hungry AI Algorithms Large-scale data refinement is key to bringing more sophisticated automated-driving functions to series production. Simulation's Next Generation Do autonomous-vehicle developers have their simulation strategies all wrong? Some experts think so - but suggest there's a practical solution. Marelli's COVID-killing HVAC Insert With big implications for shared mobility, a new photocatalytic cabin-air purifier claims to kill viruses - including COVID-19. Is Ground-penetrating Radar Next for AV Sensing?

The road to victory is not a straight line Through highs and lows and curves in the road, Milwaukee School of Engineering's Formula SAE Hybrid team kept its focus and ended up with a championship. Winging it BYU-Idaho students develop innovative wing-to-fuselage connection for SAE Aero Design competition. The SpiRIT of Baja BYU-Idaho students develop innovative wing-to-fuselage connection for SAE Aero Design competition. Kettering Baja SAE hoists the SAE Collegiate Cup Seven SAE Collegiate Design Series teams competed in an annual presentation contest hosted by the SAE Mid-Michigan Section.

No shortage of challenges Supply chain struggles join perennial challenges for Cummins' off-highway business, namely meeting shifting global emissions standards and satisfying emerging technology trends. Batteries not the only route to EV efficiency Allison CTO stresses efficiency and safety of propulsion units also are critical to reducing cost, improving performance and ultimately winning over customers. Batteries go underground A Saft expert evaluates various Li-ion chemistries and strategies - battery swapping vs. fast charging - for electric mining vehicles. Platooning: an evolving pathway to full autonomy Human-guided convoys can provide real-world benefits sooner than individual driverless trucks, but safety and operational issues still need to be resolved to optimize platoon configurations. Supplier Directory Complete listing of industry suppliers categorized by technology area.

The Army hopes a new streamlined development and procurement process will facilitate aid from the automotive sector to design the next generation of combat vehicles.

Newer, more capable fifth-generation aircraft platforms and systems are outgrowing even the largest U.S. Air Force training ranges – and the service believes modern simulators and virtual reality may be the answer.

Hundreds of aerospace executives, engineers, scientists, and academics are gathering in London this week for Aerospace Systems and Technology Conference (ASTC) 2018 from SAE International in Warrendale, Pennsylvania. Discussions during the three-day industry event center on the theme of innovating air mobility. Aerospace thought leaders are at ASTC discussing current challenges, the latest enabling technologies, and future opportunities, including those related to urban air mobility (UAM) and supersonic aircraft.