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SMART HONKING

Mahindra & Mahindra, Ltd.-Priyanka Marudhavanan
  • Technical Paper
  • 2019-28-2463
To be published on 2019-11-21 by SAE International in United States
Smart Honking Keywords-Safety, Connectivity, GPS M. Priyanka, Mahindra&Mahindra, India Sai Himaja Nadimpalli, Mahindra&Mahindra,India Keywords-Honking , Infotainment , GPS Research and/or Engineering Questions/Objective: In India unnecessary vehicular honking is the main reason for noise pollution. The problem is worst at traffic signals where drivers start honking without waiting for the signal to turn green or for traffic to move. Drivers show no respect to the law that prohibits the use of horn at traffic signals and other silent zones such as areas near hospitals, schools, religious places and residential areas. Vehicular honking in cities has reached at an alarming level and contributes approximately 70% of the noise pollution in our environment.The unwanted sound can affect human health and behavior, causing annoyance, depression, hypertension, stress, hearing loss, memory loss and panic attacks. Most of the drivers try to release their frustration and tension by blowing horns, possibly due to lack of awareness regarding the negative effects of noise but most likely it is because of the lack of civic sense.. Limitations: There is a provision of sign…
 

An Energy Harvesting E-SHOCK for Future Mobility

Schaeffler Group-Prajod Ayyappath
Schaeffler India Ltd-PS SATYANARAYANA, Kalyan Bhairi
  • Technical Paper
  • 2019-28-2506
To be published on 2019-11-21 by SAE International in United States
India has emerged as the world’s biggest market for Two-wheelers and Four-wheeler. Besides rising incomes and growing infrastructure in all areas, one big reason for the spurt in sales has been ease of zipping in and out of chaotic city traffic along with road irregularities and potholes. Furthermore, the efficiency increase in the Shock absorber within the vehicle have high demands to use of regenerative solutions, in which e-system can be employed as to recover part of the energy otherwise dissipated in form of heat. The Smart e-Shock can charge battery and illuminate accessories of vehicle. Also, the e-shock can provide the various damping characteristics by changing the Electric load on to it to make system as Semi-Active Suspension. This Smart e-Shock system is based on unique and patented concept of constraining the reciprocating motion of the shock absorber in to a single sense of rotation of e-system and the energy is recuperated and given to the battery from the e-system. This retrofittable design can provide better vehicle dynamics-with various driving modes (Comfort, Normal, Sport,…
 

Autonomous Car in India

Maruti Suzuki India, Ltd.-Siddharth Agnihotri
  • Technical Paper
  • 2019-28-2522
To be published on 2019-11-21 by SAE International in United States
Automation is expanding in every possible direction and it was only time before it reached the Automobile sector. There has been tremendous traction towards autonomous cars since last 2-3 yrs as a probable solution to reduce accidents and promote safe and comfortable commute. Many companies have expressed their interest in developing some part(s) of it and when would all of this culminate resulting in a fully autonomous car. But as every coin has two aspects so same does automation. This paper covers the future of autonomous cars from Indian perspective, covering possible challenges, complex use cases, advantages, technology enablers, economy outlook etc. India has the dubious honor of ranking first in road deaths in the world at present & accounts for 10 percent of global road accidents with more than 1.46 lakh fatalities annually. Major automotive and tech companies in world are moving towards Autonomous technology for vehicles to make roads safer and reduce the no. of deaths due to road accident. Many companies have already started testing their vehicle on roads, created separate verticals…
 

Comparison of GATS Messages to SAE ATIS Standards

V2X Core Technical Committee
  • Ground Vehicle Standard
  • J2539_201906
  • Current
Published 2019-06-11 by SAE International in United States
This SAE Information Report provides a comparative summary between the various messages found in the SAE ATIS standards work (notably SAE J2313, J2353, J2354, J2369 and J2374) and that found in the GATS standard (Global Automotive Telematics Standard). GATS is a message set meant to be deployed on mobile phone systems based on the GSM (Global System for Mobile Communication) phone system which is being deployed in European markets and which the SAE may need to harmonize with as part of the World Standards activities of TC204. This document provides an overview of the various types of supported messages and how they compare with US terms and messages. Some selected features of the GATS work are recommended for assimilation into the next revision of ATIS standards. No attempt at determining a U.S. policy in this regard is provided. This document seeks to provide the reader familiar with SAE ATIS with a high level overview of technical knowledge of the GATS approach in similar areas.
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Messages for Handling Strings and Look-up Tables in ATIS Standards

V2X Core Technical Committee
  • Ground Vehicle Standard
  • J2540_201906
  • Current
Published 2019-06-11 by SAE International in United States
This SAE Standard defines methods and messages to efficiently translate sequences of text and other types of data into and out of indexed values and look-up tables for effective transmission. This document defines: a Methods and Data Elements for handling indexes and strings in ATIS applications and message sets b Message Sets to support the delivery and translations of tables used in such strings c Tables of Nationally standardized strings for use in ATIS message descriptions And examples of each in illustrative portions. While developed for ATIS use, the methods defined in this document are useful for any textual strings in any Telematics applications found both in Intelligent Vehicles and elsewhere.
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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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Open Access

Energy-Efficient Cooperative Adaptive Cruise Control with Receding Horizon of Traffic, Route Topology, and Traffic Light Information

SAE International Journal of Connected and Automated Vehicles

AVL List GmbH, Austria-Alejandro Ferreira Parrilla, Stephen John Jones
Chalmers University of Technology, Sweden-Anders Grauers
  • Journal Article
  • 12-02-02-0006
Published 2019-05-16 by SAE International in United States
Advanced and cooperative vehicle (semi-) autonomous driving systems will become a necessity in the future for sustainable, convenient, and safe mobility. By utilizing Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, a vehicle’s energy consumption can be reduced while maintaining safety and driving comfort. A holistic control strategy is presented, which in a novel way incorporates traffic lights, road speed limits, gradients, and curvature, as well as surrounding traffic and detailed powertrain characteristics into a single Model Predictive Control formulation. The performance of the system is evaluated using a realistic co-simulation toolchain representing the vehicle, driver, and road, including complex traffic conditions. The approach is valid for a wide range of scenarios, ranging from urban city driving to highways. Simulation results for a D-class passenger car with a diesel engine and an automatic transmission in an urban route show energy savings between 5% and 30% with an unchanged travel time, compared to a simulated human driver.
 

Developing Knowledge and Understanding for Autonomous Systems for Analysis and Assessment Events and Campaigns

  • Magazine Article
  • TBMG-34334
Published 2019-05-01 by Tech Briefs Media Group in United States

There are many challenges in developing complete performance ontologies and test methodologies to define and evaluate the performance of autonomous systems. Chief among them is the dynamic environment in which the autonomous system is expected to operate. Change in the autonomous system’s environment is expected to affect system performance. Test methodologies have to include all aspects of this dynamic environment.

 

An Investigation of Aerodynamic Characteristics of Three Bluff Bodies in Close Longitudinal Proximity

Coventry University-Geoffrey Le Good, Peter Boardman, Max Resnick, Brian Clough
Published 2019-04-02 by SAE International in United States
The potential benefit for passenger cars when travelling in a ‘platoon’ formation results from the total aerodynamic drag reduction which may result from the interaction of bluff bodies in close-proximity. In the 1980s this was considered as an opportunity to alleviate congestion and also for fuel-saving in response to the oil crises of the 1970s. Early interest was limited by the availability of suitable systems to control vehicle spacing. However, recent developments in communication and control technologies intended for connected and autonomous driving applications has provided the potential for ‘platooning’ to be incorporated within future traffic management systems. The study described in this paper uses a systematic approach to changes in vehicle shape in order to identify the sensitivity of the benefits of platooning to vehicle style. The Windsor bluff-body model with its’ interchangeable rear-end geometry was chosen as the test subject because of its similarity to the approximate proportions of typical mid-sized European passenger cars. Three small-scale models were manufactured so as to be accommodated in-line within the working section of the Coventry University…
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Development of Virtual Fuel Economy Trend Evaluation Process

Hyundai-Kia America Technical Center Inc.-Sanghoon Yoo, Jason H. Lee, Byungho Lee, Jinho Ha
Ohio State University-Mustafa Ridvan Cantas, Shihong Fan, Ozgenur Kavas, Santhosh Tamilarasan, Levent Guvenc
Published 2019-04-02 by SAE International in United States
With the advancement of the autonomous vehicle development, the different possibilities of improving fuel economy have increased significantly by changing the driver or powertrain response under different traffic conditions. Development of new fuel-efficient driving strategies requires extensive experiments and simulations in traffic. In this paper, a fuel efficiency simulator environment with existing simulator software such as Simulink, Vissim, Sumo, and CarSim is developed in order to reduce the overall effort required for developing new fuel-efficient algorithms. The simulation environment is created by combining a mid-sized sedan MATLAB-Simulink powertrain model with a realistic microscopic traffic simulation program. To simulate the traffic realistically, real roads from urban and highway sections are modeled in the simulator with different traffic densities. Other traffic elements which would affect the fuel consumption, such as speed limit information, traffic stop sign and a traffic lights with SPaT (Signal Phase and Timing) information, are a part of the simulator. In order to evaluate the performance of the developed algorithms, fuel consumption performance of the developed algorithms are compared with the fuel consumption performance…
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