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SELF EXPRESSIVE & SELF HEALING CLOSURES HARDWARES FOR AUTONOMOUS AND SHARED MOBILITY

General Motors Technical Center India-Vijayasarathy Subramanian, Biju Kumar, Masani Sivakrishna, Anandakumar Marappan
  • Technical Paper
  • 2019-28-2525
To be published on 2019-11-21 by SAE International in United States
Shared Mobility is changing the trends in Automotive Industry and its one of the Disruptions. The current vehicle customer usage and life of components are designed majorly for personal vehicle and with factors that comprehend usage of shared vehicles. The usage pattern for customer differ between personal vehicle, shared vehicle & Taxi. In the era of Autonomous and Shared mobility systems, the customer usage and expectation is high. The vehicle needs systems that will control customer interactions (Self-Expressive) & fix the issues on their own (Self-Healing). These two systems / methods will help in increasing customer satisfaction and life of the vehicle. We will be focusing on vehicle Closure hardware & mechanisms and look for opportunities to improve product life and customer experience in ride share and shared mobility vehicles by enabling integrated designs, which will Self-Express & Self-Heal. Vehicle closures having direct human interfaces with components like closures, handle & other hardware's will be tracked for their performance parameters and usage pattern. The performance parameters will be tracked for every customer and mapped to…
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HANDLING EXCEPTIONAL SITUATION OF AN AUTONOMOUS VEHICLE

General Motors Technical Center India-Balasab Kardegouda
  • Technical Paper
  • 2019-28-2526
To be published on 2019-11-21 by SAE International in United States
In autonomous vehicle world human safety takes highest priority. And most researchers agree that machines won't be able to completely take over driving duties for years or even decades. "Today's autonomous vehicles can drive relatively well in typical settings, but they fail in exceptional situations - and it's those situations that are the most dangerous," said Walter Lasecki, an assistant professor of computer science and engineering. "Designing autonomous systems that can handle those exceptional situations could take decades, and in the meantime, we're going to need something to fill the gap. Few companies have introduced human safety drivers in autonomous vehicles which has cost advantage compared to traditional ride sharing services. Combining human and artificial intelligence in autonomous vehicles could push driverless cars more quickly toward wide - scale adoption. The aim of this paper is to showcase serial data architecture of high speed data transfer of critical predicted vehicle data of an exceptional situations, both onboard and offboard. This data shall be used for instantaneous analysis and decision making during exceptional situations. According to…
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new

Cutting weight seen as less vital for automated and shared vehicles

Automotive Engineering: October 2019

Paul Weissler
  • Magazine Article
  • 19AUTP10_10
Published 2019-10-01 by SAE International in United States

After long demonstrating lightweighting with steel for contemporary passenger vehicles, the Steel Market Development Institute (SMDI) is slightly changing the tune for a future of Autonomous, Connected, Electric and Shared (ACES) vehicles.

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Driverless Ridesharing Remains in Uber's Sights

Autonomous Vehicle Engineering: July 2019

Kami Buchholz
  • Magazine Article
  • 19AVEP07_13
Published 2019-07-01 by SAE International in United States

Introducing a new, production-ready AV with partner Volvo, Uber's rideshare network is likely to offer self-driving vehicles on select routes.

Uber hasn't set a timeline for deploying autonomous vehicles (AVs) on its worldwide ridesharing network, but plenty has happened since the company began development work in 2015-the latest being the June 2019 introduction with close partner Volvo Cars of a self-driving vehicle the companies claim is production-ready.

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RDS Phrase Lists

V2X Core Technical Committee
  • Ground Vehicle Standard
  • J2540/1_201906
  • Current
Published 2019-06-11 by SAE International in United States
This SAE Standard provides a table of textual messages meeting the requirements for expressing “Radio Data Systems” (RDS) phrases commonly used in the ITS industry. They can be used both over the RDS subcarrier transmission media as part of a 37-bit long “Group 8a message” as well as being used to provide a common content list of phrases used in a wide number of other media and applications. This document SHALL define the normative index values to be used, extending the CEN established list to provide phrases needed by US practitioners. This standard provides non-normative textual phrases which MAY be used by implementers to ensure intelligible results. This document SHALL follow the formats and rules established in SAE J2540 in the expressions, manipulations, and use of such tables. It should be pointed out that within the rules established by this document a variety of final table are all considered “compliant” with the document, and may vary as fits the needs of implementers.
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Large-Scale Simulation-Based Evaluation of Fleet Repositioning Strategies for Dynamic Rideshare in New York City

Ford Motor Co., Ltd.-Jae Young Jung
New York University-Joseph Chow
Published 2019-04-02 by SAE International in United States
There has been a growing concern about increasing vehicle-mile traveled (VMT) associated with deadhead trips for dynamic rideshare services, particularly with the emergence of Shared Autonomous Vehicle (SAV) services. Studies in the literature on repositioning strategies have been limited to synthetic or small-scale study areas. This study considers a large-scale computational experiment involving a New York City study area with a network of 16,782 nodes and 23,337 links with 662,455 potential travelers from the 2016 Yellow Taxi data. We investigate the potential to reduce VMT and deadhead miles for dynamic rideshare operations combined with vehicle repositioning strategies. Three repositioning strategies are evaluated: (1) Roaming around areas with higher pickup probabilities to maximize the chance of picking up passengers, (2) Staying at curb side after completing trips, and (3) Repositioning to depots to minimize deadhead trips. The study suggests the last strategy of having optimized depots can minimize both trip rejections and passenger journey time at the expense of increased VMT, although the amount depends significantly on fleet size.
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SAE STANDARDS NEWS

Automotive Engineering: April 2019

Jennifer Shuttleworth
  • Magazine Article
  • 19AUTP04_07
Published 2019-04-01 by SAE International in United States

SAE's Global Ground Vehicle Standards (GVS) staff and committee members have a busy schedule lined up for this year's SAE World Congress Experience (WCX) in Detroit. The GVS team will meet and work on activities that include advanced technologies of automated driver-assistance systems (ADAS), autonomous vehicles, shared mobility, V2X, cyber security, and human factors, in addition to dozens of “traditional” subject areas.

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Is the Future of Aerial Autonomy Up in the Air?

Autonomous Vehicle Engineering: March 2019

Jennifer Dukarski
  • Magazine Article
  • 19AVEP03_13
Published 2019-03-01 by SAE International in United States

As autonomous-drone and air-taxi concepts debut, legal hurdles will need to be cleared before the skies are automated.

Autonomous vehicle technology literally has nowhere to go but up. At CES '19, more than 170 exhibitors showed aerial drones of various shapes and sizes. Potential use cases for these devices appear to be limitless, but technical, legal and regulatory hurdles must first be overcome.

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Alternate Solution for EV Charge Point Infrastructure in Crowded Urban Areas along the Shore

General Motors-Tushar Khanzode
General Motors Technical Center India-Varun Chakrapani, Shivayogi Tippannanavar
Published 2019-01-09 by SAE International in United States
Many countries including India have aggressively aimed to implement electric vehicles (EVs) usage from 2030 onwards. Companies such as General Motors, Uber, Waymo and Nissan etc. are exploring the realm of autonomous vehicles (AV) for use as taxis as early as 2019. Above facts logically arrive at the solution of Autonomous EVs as taxis. With the commitment towards enabling an all-electric future, there exists a need to provide suitable infrastructure for recharging. Major urban cities located by the shoreline such as New York, Hong Kong, Mumbai, Los Angeles etc. have been facing the space crunch, with real estate prices sky-rocketing exponentially. With this premise, the operating company would need a large amount of space to store their EVs for charging which attributes to a longer downtime. This brings a need for an economical charging location that has a reduced usage of urban infrastructure and energy consumption. This study explores the possibility of an alternate charging location for electric AV ride sharing fleet charging with “e-Barge”, a barge dedicated to charge EV vehicles onboard with self-generated…
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SAE publishes first global standard on shared mobility

Automotive Engineering: November 2018

Jennifer Shuttleworth
  • Magazine Article
  • 18AUTP11_02
Published 2018-11-01 by SAE International in United States

As the way people travel is transforming due to demographic shifts, technical advances and environmental concerns, the shared-mobility industry has been challenged with discrepancies in use and definition of terms.

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