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Big Data Analytics for Connected, Autonomous Vehicles and Smart Cities

There is growing interest in the concept of a smart city and how these advanced technologies will improve the quality of living and make a city more attractive to visitors, commerce and industry. This course fills an unmet need for defining and explaining the relationship between connected and autonomous vehicles (CAVs) and smart city transportation. It is apparent that CAVs will achieve the best results when integrated with current and emerging urban infrastructure for transportation. This course addresses such integration from technology, organizational, policy and business model perspectives.
Training / Education

Overview of the Role of Connected and Autonomous Vehicles in Smart Cities

There is been tremendous progress in the application of technology and artificial intelligence to connected and autonomous vehicles. At the same time, there have been considerable advances in data science and data analysis that allows large data sets to be managed for results. This course introduces big data and analytics, focusing on how these will be applied to data generated by autonomous and connected vehicles. These technologies will be explained within the context of a smart city.

Fatigue Test Procedures: Hubs and Wheels for Demountable Rims

This SAE Recommended Practice provides uniform laboratory procedures for fatigue testing of wheels for demountable rims and hubs intended for normal highway use on trucks, buses, truck trailers, and multipurpose passenger vehicles. The hubs included have bolt circle diameters ranging from 165.1 to 335.0 mm (6.500 to 13.189 inches). It is up to each hub and/or wheel for demountable rims manufacturer to determine the appropriate test method, accelerated load factor and cycle life requirements applicable to obtain satisfactory service life for a given application. When deviations from the procedures recommended herein are made, it is the responsibility of the hub and/or wheel for demountable rims developer to modify other parameters as necessary to ensure satisfactory service life for the intended application. It should be noted that this test procedure focuses on fatigue resulting from vehicle loading and cornering forces.

Disc Wheel and Hub or Drum Interface Dimensions - Truck and Bus

This SAE Recommended Practice contains dimensions and their tolerances concerning disc wheel to hub or drum interface areas for truck and bus applications. Disc wheels designed only for single wheel applications (not dual wheels) for light trucks and special or less common applications are not covered in this document.

Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles

This document describes [motor] vehicle driving automation systems that perform part or all of the dynamic driving task (DDT) on a sustained basis. It provides a taxonomy with detailed definitions for six levels of driving automation, ranging from no driving automation (Level 0) to full driving automation (Level 5), in the context of [motor] vehicles (hereafter also referred to as “vehicle” or “vehicles”) and their operation on roadways: Level 0: No Driving Automation Level 1: Driver Assistance Level 2: Partial Driving Automation Level 3: Conditional Driving Automation Level 4: High Driving Automation Level 5: Full Driving Automation These level definitions, along with additional supporting terms and definitions provided herein, can be used to describe the full range of driving automation features equipped on [motor] vehicles in a functionally consistent and coherent manner.
Technical Paper

Lightweight Map Updating for Highly Automated Driving in Non-paved Roads

Highly autonomous vehicles have drawn the interests of many researchers in recent years. For highly autonomous vehicles, a high-definition (HD) map is crucial since it provides accurate information for autonomous driving. However, due to the possible fast-changing environment, the performance of HD maps will deteriorate over time if timely updates are not ensured. Therefore, this paper studies the updating of lightweight HD maps in closed areas. Firstly, a novel two-layer map model called a lightweight HD map is introduced to support autonomous driving in a flexible and efficient way. Secondly, typical updating of scenarios in closed areas with non-paved roads is abstracted into operations including area border expansion, road addition, and road deletion. Meanwhile, a map updating framework is proposed to address the issue of map updating in closed areas. Finally, an experiment is conducted to demonstrate the feasibility and effectiveness of the proposed map updating approach.

Minimum Environmental Performance Standard for Parts 23, 25, 27, and 29 Aircraft Wheels Brakes, and Wheel and Brake Assemblies

This SAE Aerospace Standard (AS) prescribes the Minimum Performance Standards (MPS) for environmental conditions that wheel, brake, and wheel and brake assemblies to be used on aircraft certificated under 14 CFR Parts 23, 25, 27, and 29. The environmental requirements in this document shall be used in conjunction with other MPS defined in Technical Standard Orders for the applicable equipment.

The Road Forward: More Conversations with Top Women in the Automotive Industry

Carla Bailo, CEO of the Center for Automotive Research, and Terry Barclay, CEO of Inforum, bring together over 70 of the most influential women in the automotive industry to share their insight and advice. As with their first book, The Road to the Top, Bailo and Barclay interview women in positions of leadership throughout the industry from suppliers, to OEMs and academia. The Road Forward provides insight and advice to all professionals on the impact of the COVID pandemic by sharing their thoughts of the road ahead and what changes they have experienced professionally, personally, and socially. In addition, the leaders discuss resilience, professional network maintenance and growth, personal growth, diversity and inclusion, and sustainability.

Aircraft Flotation Analysis

This document is divided into five parts. The first part deals with flotation analysis features and definitions to acquaint the engineer with elements common to the various methods and the meanings of the terms used. The second part identifies and describes the various methods used. To accomplish the minimum intent of this document, techniques could be limited to those needed for flotation analysis only; however, because of the close relation between flotation analysis and runway design, methods for the latter are also included. In fact, runway design criteria are used for flotation and evaluation in some cases, and are periodically the governing procedure in specific, if isolated, instances. From time to time, it may be necessary to deal with runways built to obsolete criteria. Therefore, a listing of most of these constitutes the third part.
Technical Paper

Vehicle Accelerator and Brake Pedal On-Off State Judgment by Using Speed Recognition

The development of intelligent transportation improves road efficiency, reduces automobile energy consumption, and improves driving safety. The core of intelligent transportation is the two-way information interaction between vehicles and the road environment. At present, road environmental information can flow to the vehicle, while the vehicle’s information rarely flows to the outside world. The electronic throttle and electronic braking systems of some vehicles use sensors to get the state of the accelerator and brake pedal, which can be transmitted to the outside environment through technologies such as the Internet of Vehicles. But the Internet of Vehicles technology has not been widely used, and it relies on signal sources, which is a passive way of information acquisition. In this paper, an active identification method is proposed to get the vehicle pedal on-off state as well as the driver’s operation behavior through existing traffic facilities.
Technical Paper

Safe Operations at Roadway Junctions – Design Principles from Automated Guideway Transit

A system-level view of a fully automated transit system comprising a fleet of automated vehicles (AVs) in driverless operation, each with an SAE Level 4 Automated Driving System (ADS), related safety infrastructure and other system equipment is compared to the automatic train control system used in automated guideway transit (AGT) technology. Drawing from the safety principles, analysis methods and risk assessments of AGT systems, comparable functional subsystem definitions are proposed for AV fleets in driverless operation. With the prospect of multiple AV fleets operating within a single automated mobility district (AMD), the criticality of protecting roadway junctions requires an approach like that of automated fixed-guideway transit systems in which a guideway switch zone “interlocking” is installed at each junction location.
Technical Paper

Roadside Lidar Helping to Build Smart and Safe Transportation Infrastructure

As part of its research in transportation infrastructure, the University of Nevada, Reno’s Nevada Center for Applied Research, in conjunction with the Regional Transportation Commission of Washoe County and the Nevada DOT, used Velodyne’s lidar sensors to collect data aimed at making transportation more efficient, sustainable and safe. This paper summarizes the research results and data obtained by UNR’s Nevada Center for Applied Research. The program integrated Velodyne Ultra Puck lidar sensors with traffic signals to detect, count and track pedestrians, cyclists and traffic. It leveraged the data captured with the sensors to help improve traffic analytics, congestion management and pedestrian safety. The initial lidar sensor was placed at a Reno intersection in 2017. A review of studies and data indicates this may have been the first-ever application of lidar on a traffic signal.