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Digital Forensics of Heavy Vehicle Event Data Recorders

Jeremy S. Daily, Ph.D, P.E. Tony Becker Course Schedule and Topics

Day 1 Day 2 Day 3  Introductions  Hands-on  J1708/J1587  Digital Forensics Demos  Availability and  J1939 Types of Data  CAT Power  Binary Data  Schematics Loss Testing  Field Kits  Reading Reports  Common Electronic  OEM Software Control Units  Crash Data  Using the Forensic Link Adapter Attribution  Downloads  How Data Gets  Networking  FLA Preview Made  FLA Portal

August 2017 Digital Forensics of HVEDRs 2 Why are we here?

 Crash Reconstruction and investigation is based on evidence in all forms.  Digital evidence is becoming more prevalent and understanding it makes you a better reconstructionist.  Digital data has special considerations during its capture, preservation, and interpretation, especially for heavy .  New tools, the Synercon Technologies products, are now available an we need to learn how to use them.

August 2017 Digital Forensics of HVEDRs 3 Synercon Technologies, LLC

August 2017 Digital Forensics of HVEDRs 4 Example: IPTM School Bus Crash Test

August 2017 Digital Forensics of HVEDRs 5 Transition to Practice

 Company started in August of 2013 in Jeremy’s garage in Broken Arrow, OK

 Deep roots in research at the University of Tulsa funded by the National Institute of Justice (DOJ) and the Defense Advanced Research Projects Administration (DARPA).

 We use your constructive feedback to continuously improve the products.

August 2017 Digital Forensics of HVEDRs 6 About the Instructor: Jeremy S. Daily, Ph.D., P.E.

 Founder and CEO, Synercon Technologies, LLC. 2013-Present.  Associate Professor of Mechanical Engineering, The University of Tulsa, 2006- Present  VP Jackson Hole Scientific Investigations, Inc, 2001-Present  Ph.D. in Engineering from Wright State University in Dayton, OH, 2006  Prediction of Fatigue Crack Growth Rate based on Plastic Dissipation Energy on Bimaterial Interfaces  Aerospace Engineer, Contractor at Wright Patterson AFB, 2005-2006.  Active Duty Air Force 1995-2002  Maintained Flight line Navigation and Meteorological Electronic Systems  Other facts:  Published 11 SAE papers on crash reconstruction  Co-authored Fundamentals of Traffic Crash Reconstruction (IPTM 2006)  Director of the TU Crash Reconstruction Research Consortium (2010-present)  Given expert testimony in court  Professional Engineer (Ohio, Oklahoma)  SAE Ralph Teetor Award winner, 2012.  Built an autopilot trolling system for a ski boat and caught 104 fish in Yellowstone Lake during the summer of 2017.

August 2017 Digital Forensics of HVEDRs 7 About the Instructor: Tony Becker, MSCJ, ACTAR 354

 Founder, Forensic Training Group, LLC 2016 to present

 Adjunct Instructor, The University of Tulsa, CESE

 Associate Staff Instructor, United States Department of Transportation, Transportation Safety Institute

 Institute of Police Technology and Management, University of North Florida, 1989-2015

 25 years of law enforcement experience, 20 years as a traffic crash investigator

 Developed the Institute of Police Technology and Management course in Heavy Vehicle Electronic Control Module Data Use in Crash Reconstruction

 MS in Criminal Justice from University of North Florida in Jacksonville, FL, 2016

 Certifications

 Illinois Local Governmental Law Enforcement Officers Training Board and Department, Division of Traffic Safety, Accident Reconstruction Specialist, Illinois No. 88061, December 1988

 The Accreditation Commission for Traffic Accident Reconstruction, Full Accreditation as a Traffic Accident Reconstructionist, ACTAR No. 354, October 1993.

 Publications

 Simulations of Pedestrian Impact Collisions with Virtual Crash 3 and Comparisons with IPTM Staged Tests, By Tony Becker, Mike Reade, and Bob Scurlock, Published in the Accident Reconstruction Journal, March/April 2016.

 Fundamentals of Pedestrian/Cyclist Traffic Crash Reconstruction, by Mike Reade and Tony Becker, Publisher Institute of Police Technology and Management, 2016.

August 2017 Digital Forensics of HVEDRs 8 About the Instructor: Scott E. Skinner, ACTAR 654

 Idaho State Police, Civilian Consultant to their Collision Reconstruction Program 2015 to Current

 Adjunct Instructor of the University of Tulsa, 2015 to Current

 Adjunct Instructor for IPTM, University of North Florida, 2012 to Current

 Owner of Collision Consulting and Reconstruction LLC, 2012 to Current

 Private Civil Collision Reconstruction Business, Based in Ontario, OR

 ACTAR Governing Board of Directors, 2004 to 2015

 Served as the Chairperson of the Continuing Education Unit Committee

 Served as the Chairman and Vice Chairman GBOD

 Oregon State Police 1985 to 2015, Retired as a Sergeant

 Accredited Collision Reconstructionist Since 1994

 CVSA Level One Inspector AS1333

 Statewide Collision Reconstruction Program Manager

 Statewide Heavy Truck Collision Reconstruction Program Manager

 Attended 1496 hours of Technical Training in the field of Collision Investigation and Collision Reconstruction.

 Instructed Collision Investigation Topics for 1037 Hours

 Been Involved in the Investigation of More than 1,000 Crash Events

 Provided expert witness Testimony 53 Times in the States of Oregon, Idaho and Alaska

 Other facts:

 Published 2 papers on crash reconstruction related topics a third paper is awaiting publication.

 Authored training curriculum for both the Oregon State Police and the Idaho State Police

 Attended Diesel and Caterpillar training in the Field of Heavy Vehicle Event Data Recorders

 Presented at IPTM Special Problems 2013 and 2015, both on topics related to Heavy Vehicle Crash Investigation

 Presented at WREX 2016 on Heavy Vehicle Digital Forensics

 Built Dough Ball Jig and Caught a Carp in the Willamette River below the Wah-Chang Heavy Metal Plant near Albany, Oregon in 1978 August 2017 Digital Forensics of HVEDRs 9 Course Objective

 Provide students the skills, knowledge, and background to successfully download and interpret data from heavy vehicle event data recorders (HVEDRs).

 Enable an active learning environment where students can explore relevant topics and take advantage of unique learning opportunities in a relaxed setting.

August 2017 Digital Forensics of HVEDRs 10 Class Introduction

 We can learn from our peers. Please share your

 Name

 Where you are from

 Job position and duties

 Experience with Event Data Recorders

 What you hope to get out of this class

 Please ask questions!

August 2017 Digital Forensics of HVEDRs 11 Training Goals

 Become familiar with the Synercon equipment  Learn the “buzz words” and acronyms  Understand how data gets made  Use SAE Standards to understand data  Recognize different ECMs and how to connect to them  Develop troubleshooting skills  Appreciate the field of digital forensics

August 2017 Digital Forensics of HVEDRs 12 Digital Forensics - Defined

The application of computer science and investigative procedures for a legal purpose. The analysis of digital evidence involves the following:  Proper search authority  Proper chain of custody  Validation with mathematics  The use of validation tools  Repeatability  Reporting  Expert presentation

August 2017 Digital Forensics of HVEDRs 13 Digital Forensics Encompasses

 Lap top and desk top computers  Mobile devices  Event data recorders  Networks  Cloud based systems  Digital images  Digital Videos  Digital Audios  TMS Data, Scanner Cloud Data, Etc.

August 2017 Digital Forensics of HVEDRs 14 Forensic Soundness

 Meaning is a term that denotes confidence in the interpretation of extracted evidence data.

 Error Detection denotes processes for detecting or predicting errors in the forensic process.

 Transparency means the forensic process is documented, known, and verifiable.

 Expertise is required for investigators examining digital data.

 Tampering detection involves processes to evaluate if this has occurred.

August 2017 Digital Forensics of HVEDRs 15 Basic Forensic Principles in Dealing with Digital Evidence

 Any process or procedure of collecting, transporting, or storing of digital evidence should not incur any changes to the evidence

 If changes are inevitable, then they should be predictable.  Only specifically trained experts should draw conclusions from examined digital evidence.  Transparency during the operations of acquisition, transportation, and storage of digital evidence should be maintained.

August 2017 Digital Forensics of HVEDRs 16 Responding to the call AVAILABILITY OF DATA FROM HEAVY VEHICLES

August 2017 Digital Forensics of HVEDRs 17 Phone Conversation

Caller: “Hi Jeremy. I’m working a big wreck, can you download this truck for me?” Jeremy: “Maybe. What year is it and what kind of engine does it have?” Caller: “It’s a 2005 Volvo tractor.” Jeremy: “Right… but I need to know what kind of engine it has.” Caller: “It’s a diesel.”

August 2017 Digital Forensics of HVEDRs 18 Heavy Vehicle Event Data Recorders (HVEDRs)

 From http://www.heavytruckedr.org/acronyms.html: EDR (Event Data Recorder): A function that records vehicle performance data relating to an “event,” which has properties defined by the individual ECM’s programming (for example, when wheel speed slows by more than 7mph in one second). Most recorded events are not traffic crashes, but in many cases the circumstances surrounding a traffic crash will cause information to be recorded as an “event.”  From SAE J2728: An event is a point in time, during the operation of a heavy vehicle, in which one or more threshold trigger criteria are met causing the HVEDR to log data surrounding the event. The Heavy Vehicle (HVEDR) is an electronic system that captures and records electronic information related to an event during vehicle operation.

August 2017 Digital Forensics of HVEDRs 19 Electronic Control Module (ECM)

 Electronic Control Modules exist for many systems

 Many ECMs have special names

 Electronic Brake Controller (EBC)

 Body Controller

 Electronic Transmission Controller

 Engine Control Modules are also ECMs

 With no qualification, ECM usually refers to the engine controller.

August 2017 Digital Forensics of HVEDRs 20 Determining if Data Exists

 ECM Field Guide

 Complete with pictures and expected data

 Wisconsin Highway Patrol (Tim Austin)  Online Resources

 http://www.ataassociates.com/ECM.htm

 Gates VIN Decoder: http://www.gates.com/catalogs-and-resources/resources/repository/engineering-business-applications/vin-decoder/vin-decoder  iPhone App

 http://www.vintrucks.com/  Visual inspection of the ECM is the best way.

August 2017 Digital Forensics of HVEDRs 21 Many Combinations

Truck Make Engine Make

 Freightliner  Caterpillar

 International 

 Navistar

 Mack  Mack

 Volvo  -Benz

 Sterling 

 Western  Volvo

August 2017 Digital Forensics of HVEDRs 22 Rules of Thumb

 Most Trucks can have Cummins Engines

 Freightliners, Sterling, and Western Star (Daimler brands) usually have Detroit Diesel or Mercedes Engines.

 Peterbilt and Kenworth (Paccar brands) usually have Cat, Cummins, or Paccar Engines.

 Mack, Volvo, and Navistar engines are usually not on other brands.

August 2017 Digital Forensics of HVEDRs 23 If data is known to exist, then we can ask: WHAT TYPES OF DATA ARE STORED ON ECMS?

August 2017 Digital Forensics of HVEDRs 24 Categories of Heavy Vehicle Data

 Event Data

 Configuration Data

 Historical Data

 Fault Data

The speed records from Event data are often the most interesting to a crash investigator, but other data may be useful.

August 2017 Digital Forensics of HVEDRs 25 Event Data

 Time history data surrounding an event that triggers recording, which may include:

 Sudden changes in speed (Hard Brake, Sudden Deceleration, Quick Stop, etc)

 The Last Stop Event

 Setting a fault code (i.e. a Diagnostic Record)

 Driver activated (i.e. External Trigger)

 Each manufacturer implements these features in different ways or not at all.

August 2017 Digital Forensics of HVEDRs 26 Configuration Data

 Data that does not change with time (other than reprogramming)

 Sometimes referred to as:

 Features

 Parameters

 Calibration Settings

 Uses to support and corroborate event data

August 2017 Digital Forensics of HVEDRs 27 Example Calibration Data

 Rear Axle Ratio  QuickStop Threshold

 Governed Speed Limit (CAT Only)

 Tire Size (rev/mile)

 Speed Sensor Tone Ring Teeth

 Speed pulses per mile

 Power Rating

 Cruise Set Limits

 Maximum Engine RPM

August 2017 Digital Forensics of HVEDRs 28 Historical Data

 Data that is acquired as a result of using the truck.  Things that can be counted:

 Time (usually in seconds or hours)

 Fuel use

 Distances  Audit trails (records of changes)  Histograms (Speed vs Duration)  Engine Usage Logs

August 2017 Digital Forensics of HVEDRs 29 Fault Data

 Diagnostic messages and associated freeze frame data indicating vehicle operation when the fault code was set.

 Some ECMs record fault codes like event data (Cat and DDEC).

 Fault data can contain engine RPM and Speed.

August 2017 Digital Forensics of HVEDRs 30 Mack and Volvo Engines

 Volvo Tractors can have different engines

 Cummins

 Detroit Diesel  Volvo http://hvedr.com  Mack Tractors

 Mack

 Cummins

 Caterpillar  All event data goes to Mack and Volvo designated shops

August 2017 Digital Forensics of HVEDRs 31 https://www.dropbox.com/s/0rihdmai9gu3tni/ECM%20Field%20Guide.pdf?dl=0 REVIEW HVEDR FIELD GUIDE

August 2017 Digital Forensics of HVEDRs 32 Schematics

 Visual tools engineers use to communicate system operation and design.

 Connected symbols and language to demonstrate interactions.

 Provide insight into the operation of the system.

 Helps crash experts communicate how data is produced.

August 2017 Digital Forensics of HVEDRs 33 Component Location Information

 Schematics may also references to component locations.

 A Mercedes VCU is pictured here under the .

August 2017 Digital Forensics of HVEDRs 34 August 2017 Digital Forensics of HVEDRs 35 Online Resources

 Cummins Quick Serve Online

 https://qsol.cummins.com/qs3/portal/service/index.html

 Cummins Fault Information System (FIS)

 DDDL8 Reference manuals

August 2017 Digital Forensics of HVEDRs 36 Horizontal Integration

 Component parts come from many different suppliers

 Brakes: Bendix, Haldex, Wabco

 Engines: Cummins, Paccar, Cat

 Transmission: Allison, Eaton

 Opposite of Vertical Integration

 Henry Ford’s vision

 Standardization leads to interoperability

 Communicated with schematics

August 2017 Digital Forensics of HVEDRs 37 Caterpillar Vehicle Schematic

August 2017 Digital Forensics of HVEDRs 38 Detroit Diesel CPC Overview

August 2017 Digital Forensics of HVEDRs 39 Please work on PROJECT: TRACING SCHEMATICS

August 2017 Digital Forensics of HVEDRs 40 FIELD KITS AND RECOGNIZING ECMS

August 2017 Digital Forensics of HVEDRs 41 Preserving Evidence on Scene

1. Turn off engine and secure the keys in an evidence bag.

2. Remove the drive line or unplug the VSS prior to towing

3. Advise the tow operator that the vehicle ignition is not to be turned on.

Event Record is that of moving the truck out of the way.

August 2017 Digital Forensics of HVEDRs 42 August 2017 Digital Forensics of HVEDRs 43 This might be your truck…

August 2017 Digital Forensics of HVEDRs 44 Bringing the Electrical System Back On-line

August 2017 Digital Forensics of HVEDRs 45 Field Work Duties

 Reconstructionist

 Electrician

 Mechanic

 Body Shop

 Tow Driver

 EMS

August 2017 Digital Forensics of HVEDRs 46 Allen Wrenches

5/32” hex for Cummins and CAT

August 2017 Digital Forensics of HVEDRs 47 Sockets

August 2017 Digital Forensics of HVEDRs 48 Deep and Shallow

August 2017 Digital Forensics of HVEDRs 49 Torx

T30 for DDEC V

August 2017 Digital Forensics of HVEDRs 50 Screwdrivers

August 2017 Digital Forensics of HVEDRs 51 Prying Tools

August 2017 Digital Forensics of HVEDRs 52 Multimeter

August 2017 Digital Forensics of HVEDRs 53 Battery Jumper Pack

August 2017 Digital Forensics of HVEDRs 54 Power Inverter

August 2017 Digital Forensics of HVEDRs 55 Wire Leads

August 2017 Digital Forensics of HVEDRs 56 Fuses

Check these if the FLA doesn’t power up.

August 2017 Digital Forensics of HVEDRs 57 Connecting to the in-cab Diagnostic Port

August 2017 Digital Forensics of HVEDRs 58 Diagnostic Port Locations

August 2017 Digital Forensics of HVEDRs 59 Deutsch 6 & 9 Pin

J1708 Only J1939 @ 250k J1939 @ 500k Older Vehicles Most Common 2016 and newer

August 2017 Digital Forensics of HVEDRs 60 Pinouts

 https://www.dgtech.com/wp- content/uploads/2016/04/Pinouts_ICR.pdf

August 2017 Digital Forensics of HVEDRs 61 Pinouts

August 2017 Digital Forensics of HVEDRs 62 Field Testing

 Check for +12 V on pin B with Pin A to ground

 Check for 60 Ohms between Pin C and D on J1939 enabled vehicles with vehicle off.

August 2017 Digital Forensics of HVEDRs 63 Power Distribution Switch

August 2017 Digital Forensics of HVEDRs 64 Power Distribution Switch

August 2017 Digital Forensics of HVEDRs 65 Finding Fuse Panels

August 2017 Digital Forensics of HVEDRs 66 Finding Fuse Panels

August 2017 Digital Forensics of HVEDRs 67 Fuse Panels

August 2017 Digital Forensics of HVEDRs 68 Cummins

August 2017 Digital Forensics of HVEDRs 69 Cummins Celect

August 2017 Digital Forensics of HVEDRs 70 Cummins CM570

August 2017 Digital Forensics of HVEDRs 71 Cummins CM850, CM870, CM871

August 2017 Digital Forensics of HVEDRs 72 Cummins CM2250

August 2017 Digital Forensics of HVEDRs 73 Cummins CM2350

August 2017 Digital Forensics of HVEDRs 74 Detroit Diesel

August 2017 Digital Forensics of HVEDRs 75 DDEC IV

August 2017 Digital Forensics of HVEDRs 76 DDEC IV with SSS2

August 2017 Digital Forensics of HVEDRs 77 DDEC V

August 2017 Digital Forensics of HVEDRs 78 DDEC 6 Common Powertrain Motor Control Module Controller (CPC) (MCM)

August 2017 Digital Forensics of HVEDRs 79 DDEC Three Module System

Motor Control Module Common Powertrain Aftertreatment Control Controller (CPC) Module (ACM) (MCM)

August 2017 Digital Forensics of HVEDRs 80 DDEC 10/13 MCM & ACM

August 2017 Digital Forensics of HVEDRs 81 DDEC 10/13 ACM

August 2017 Digital Forensics of HVEDRs 82 DDEC 10/13 ACM

August 2017 Digital Forensics of HVEDRs 83 DDEC 10/13 Engine MCM

August 2017 Digital Forensics of HVEDRs 84 DDEC CPC

August 2017 Digital Forensics of HVEDRs 85 DDEC CPC

August 2017 Digital Forensics of HVEDRs 86 DDEC CPC

August 2017 Digital Forensics of HVEDRs 87 DDEC 13 CPC

A CPC4 is a DDEC 13 The CPC2 is from a DDEC 10 A CPC is in a DDEC 6

August 2017 Digital Forensics of HVEDRs 88 DDEC Reports Data is in the CPC

The Sensor Simulator 2 provides the signals from the MCM and ACM to preserve fault code data in the CPC for DDEC Reports.

August 2017 Digital Forensics of HVEDRs 89 Mercedes Benz Engines (DDEC)

Vehicle Control Unit (VCU) German for MCM = PLD

August 2017 Digital Forensics of HVEDRs 90 Caterpillar

August 2017 Digital Forensics of HVEDRs 91 Caterpillar ADEM 2

August 2017 Digital Forensics of HVEDRs 92 Caterpillar ADEM 2000/ADEM3

August 2017 Digital Forensics of HVEDRs 93 Caterpillar ADEM 4

August 2017 Digital Forensics of HVEDRs 94 PACCAR MX

August 2017 Digital Forensics of HVEDRs 95 Navistar MaxxForce

August 2017 Digital Forensics of HVEDRs 96 Bendix Brake Controller

August 2017 Digital Forensics of HVEDRs 97 USING THE FORENSIC LINK ADAPTER

August 2017 Digital Forensics of HVEDRs 98 Synercon Technologies

 Forensic Link Adapter (FLA)

 TruckCRYPT Software

 FLA Preview

 FLA Portal

 Smart Sensor Simulator 2

August 2017 Digital Forensics of HVEDRs 99 Example Download

August 2017 Digital Forensics of HVEDRs 100 Forensic Link Adapter User Manual

http://synercontechnologies.com/wp-content/uploads/2016/10/FLA-User-Manual-v1.3.pdf

August 2017 Digital Forensics of HVEDRs 101 Demonstration and Practice

 Connecting the Forensic Link Adapter  Understand and Use the Menu System  Download an ECM  TruckCRYPT Software  OEM Software (DDEC Reports/Cummins Powerspec)  Examine Data with FLA Preview  Upload Data Package  Login to https://fla.synercontechnologies.com  User: guest  Password: UniversityOfTulsa

August 2017 Digital Forensics of HVEDRs 102