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DEVELOPMENT OF A FLEET MANAGEMENT SYSTEM FOR AN OFF-HIGHWAY VEHICLE

Research & Devlopment Institute-JAGANNATHAN VASU
  • Technical Paper
  • 2019-28-2439
To be published on 2019-11-21 by SAE International in United States
DEVELOPMENT OF A FLEET MANAGEMENT SYSTEM FOR AN OFF-HIGHWAY VEHICLE V.Jagannathan 1.a* , B.Jaiganesh 2.b & S.Sudarsanam 3.c Mahindra & Mahindra Limited, Mahindra Research Valley, Mahindra World City, Anjur PO, TN, India Corresponding author Email- V.JAGANNATHAN@mahindra.com Managing an off-highway vehicle fleet during validation is a challenging task. Complexity is acquainted when more than 100 vehicles with different horse power (hp) & with different product configuration working across India and other parts of countries. Traditionally, a tractor validation involves data collection such as usage hours (Hour meter reading on cluster), locations etc. which are recorded in spread sheet and updated to the respective project owners on daily basis through mail communications. A manual recording and consolidation of tractors validation status is prone to error, reiterative work, consumes more resource and effort. Moving towards digitalization, IT enabled system for updating the tractor validation status on daily basis was added with advantage of huge data storage capacity, history data retrieval and data access anytime & anywhere, a step ahead to traditional method but with few limitations of not…
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Data Acquisition from Light-Duty Vehicles Using OBD and CAN

HEM Data Corporation-Eric Walter, Richard Walter
  • Book
  • R-458
Published 2018-11-15 by SAE International in United States

Modern vehicles have multiple electronic control units (ECU) to control various subsystems such as the engine, brakes, steering, air conditioning, and infotainment. These ECUs are networked together to share information directly with each other. This in-vehicle network provides a data opportunity for improved maintenance, fleet management, warranty and legal issues, reliability, and accident reconstruction.

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Policies to Maximize Fuel Economy of Plug-In Hybrids in a Rental Fleet

Ford Motor Company-Dominique Meroux
University of California - Davis-Gil Tal
Published 2018-04-03 by SAE International in United States
Plug-in hybrid (PHEV) technology offers the ability to achieve zero tailpipe emissions coupled with convenient refueling. Fleet adoption of PHEVs, often motivated by organizational and regulatory sustainability targets, may not always align with optimal use cases. In a car rental application, barriers to improving fuel economy over a conventional hybrid include: diminished benefits of additional battery capacity on long-distance trips, sparse electric charging infrastructure at the fleet location, lack of renter understanding of electric charging options, and a principle-agent problem where the driver accrues fewer benefits than costs for actions that improve fuel economy, like charging and eco-driving. This study uses high-resolution driving data collected from twelve Ford Fusion Energi sedans owned by University of California, Davis (UC Davis), where the vehicles are rented out for university-related activities. The data is analyzed to understand the degree to which the electric battery is taken advantage of by fleet management and end users to reduce fuel costs and emissions. Specifically, characteristics of trips assigned to those vehicles, driver behavior, locations of charging events and missed charging opportunities,…
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An Indirect Occupancy Detection and Occupant Counting System Using Motion Sensors

Chongqing University-Dawei Luo, Gang Guo
Ford Motor Company-Jianbo Lu
Published 2017-03-28 by SAE International in United States
This paper proposes a low-cost but indirect method for occupancy detection and occupant counting purpose in current and future automotive systems. It can serve as either a way to determine the number of occupants riding inside a car or a way to complement the other devices in determining the occupancy. The proposed method is useful for various mobility applications including car rental, fleet management, taxi, car sharing, occupancy in autonomous vehicles, etc. It utilizes existing on-board motion sensor measurements, such as those used in the vehicle stability control function, together with door open and closed status. The vehicle’s motion signature in response to an occupant’s boarding and alighting is first extracted from the motion sensors that measure the responses of the vehicle body. Then the weights of the occupants are estimated by fitting the vehicle responses with a transient vehicle dynamics model. This two stage approach is further used to determine how many occupants are staying in the car. The effectiveness of the proposed approaches has been verified in vehicle tests through a variety of…
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Real-time Crash Detection and Its Application in Incident Reporting and Accident Reconstruction

Ford Motor Company-Smruti Panigrahi, Jianbo Lu, Sanghyun Hong
Published 2017-03-28 by SAE International in United States
Characterizing or reconstructing incidents ranging from light to heavy crashes is one of the enablers for mobility solutions for fleet management, car-sharing, ride-hailing, insurance etc. While crashes involving airbag deployment are noticeable, light crashes without airbag deployment can be hidden and most drivers do not report these incidents. In this paper, we are using vehicle responses together with a dynamics model to trace back if abnormal forces have been applied to a vehicle so as to detect light crashes. The crash location around the perimeter of the vehicle, the direction of the crash force, and the severity of the crashes are all determined in real-time based on on-board sensor measurements which has further application in accident reconstruction. All of this information will be integrated to a feature called “Incident Report”, which enable reporting of minor accidents to the relevant entities such as insurance agencies, fleet managements, etc. The developed algorithms are being pursued for implementation in a wireless on-board-diagnostic (OBD) dongle using the hardware specific Java format. CAN-bus data, accessed through OBD-II port, are from…
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Commercial Vehicle Global Positioning System Based Telematics Data Characteristics and Limitations

BEST Engineering Inc.-Tyler Kress
GEOTAB, Inc.-Tom Walli
Published 2017-03-28 by SAE International in United States
The use of the United States’ Global Positioning System (GPS) to assist with the management of large commercial fleets using telematics is becoming commonplace. Telematics generally refers to the use of wireless devices to transmit data in real time back to an organization. When tied to the GPS system telematics can be used to track fleet vehicle movements, and other parameters. GPS tracking can assist in developing more efficient and safe operations by refining and streamlining routing and operations. GPS based fleet telematics data is also useful for reducing unnecessary engine idle times and minimizing fuel consumption. Driver performance and policy adherence can be monitored, for example by transmitting data regarding seatbelt usage when there is vehicle movement. Despite the advantages for fleet management, there are limitations in the logged data for position and speed that may affect the utility of the system for analysis and reconstruction of traffic collisions. The U.S. Air Force is responsible for maintaining and operating the GPS space and control segments and publishes information about these limitations. The most significant…
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CONSUMER ELECTRONICS COME ON BOARD

SAE Truck & Off-Highway Engineering: February 2017

Terry Costlow
  • Magazine Article
  • 17TOFHP02_03
Published 2017-02-01 by SAE International in United States

Smartphones and tablets are likely to play a large role in HMIs for heavy vehicles-if productivity and safety are not compromised.

The tablets and smartphones that transformed consumer electronics are now poised to enter heavy-duty vehicle markets. They're already becoming part of the maintenance and diagnostic world, while some developers are exploring ways to integrate them into human-machine interfaces (HMIs) for non-safety activities.

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Driving Risk Rating for Driver Monitoring Based on Satellite Data

Chulalongkorn University-Natt Winitthumkul, Peerapat Phondeenana, Nuksit Noomwongs
Published 2016-03-27 by SAE International in United States
According to the recent study, Thailand has the 2nd most dangerous road in the world. Based on many researches, the driver is the main influencers of the traffic fatalities. Since the more dangerous the driver drive, the more chance of accident become. Therefore, driver’s monitoring system become one of the solutions that acceptable and reliable, especially for fleet management and public transportation.This paper’s goal is to find an algorithm that can distinguish driving behaviour based on cars’ acceleration and velocity, calling it as Risk Driving Score (RDS). The algorithm was tested by driving test by volunteers on highways with observers, who were told to rank the drivers in terms of driving risk from the 1-5 point. Meanwhile, the drivers were asked to drive in 3 different styles, normal, safety, and hurry. All drives were recorded by satellite and video data then filtered and used for the algorithm calculation. After that, the linear regression shows that there is a trend of driving score evaluated by algorithm and observers in term of linear equation with high correlation.…
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Prognostic Metrics for Engine Health Management Systems

E-32 Aerospace Propulsion Systems Health Management
  • Aerospace Standard
  • AIR5909
  • Current
Published 2016-02-26 by SAE International in United States
This SAE Aerospace Information Report (AIR) presents metrics for assessing the performance of prognostic algorithms applied for Engine Health Management (EHM) functions. The emphasis is entirely on prognostics and as such is intended to provide an extension and complement to such documents as AIR5871, which offers information and guidance on general prognostic approaches relevant to gas turbines, and AIR4985 which offers general metrics for evaluating diagnostic systems and their impact on engine health management activities.
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HMIs extend beyond the cab

Mobility Engineering: December 2015

Terry Costlow
  • Magazine Feature Article
  • 15MEIP12_06
Published 2015-12-01 by SAE International in United States

Telematic functions are being integrated into multi-function user interfaces.

Human-machine interfaces (HMIs) are evolving in multiple paths-they're becoming a more important product differentiator while also expanding their control functions outside the vehicle. As connectivity moves deeper into the mainstream, HMIs are being redesigned to make it easier for operators to utilize the broad range of features and functions that come with telematics.