Data Acquisition & Field Test Data Analysis
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1 Data Acquisition & Field Test Data Analysis Dave LeBlanc IVBSS 2008 Public Meeting April 10-11, 2008 Eagle Crest Resort & Conference Center Ypsilanti, MI
2 Topics Overview purpose of data collection Data archive overview Requirements on data Data acquisition Fleet monitoring 2
3 Data Acquisition System Phase I Support Phase I development of IVBSS. Provide data during Phase I testing. Phase II Provide data from extended pilot FOT and from FOT itself. Allow remote monitoring of test fleet (IVBSS performance & health, driving behavior ) 3
4 Data Uses UMTRI monitoring fleet analysis of experimental data (performance, acceptance, safety) debriefing test subjects Visteon/Eaton/Cognex technology performance Volpe Center/USDOT quality assurance analysis of experimental data Side benefit data archive for future research
5 Data Archive Raw Objective Data Driver information Onboard data Numerical (database) Video Audio Offboard data Map & roadway feature databases Weather data
6 Data Archive Processed Objective Data Cleansed data smoothing/fusing, managing dropouts & outliers, bias removal, validating trips, etc. Driving context characterization using roadway data, weather data, time, etc. Characterization of events & scenarios of interest Building measures of system performance, potential safety impacts, facts possibly affecting driver acceptance Additional data may exceed size of original raw numerical data
7 Data Archive Subjective Data Pre-drive questionnaire Driving style and behavior questionnaires completed prior to FOT participation Post-drive questionnaires Completed after FOT participation: on-site and take home Driver debriefs Review of a subset of warnings to rate for usefulness Focus groups
8 Data Archive Subjective Data: Questionnaires Pre-drive questionnaires Driver style questionnaire (DSQ) Evaluates 6 factors of drivers style: focus, calmness, social resistance, speed, deviance, and planning Driver behavior questionnaire (DBQ) Examines drivers errors, lapses, and violations Drivers scores from DSQ and DBQ will be used in statistical models as predictors of IVBSS acceptance
9 Data Archive Subjective Data: Questionnaires (continued) Post-drive questionnaires Extensive evaluation of drivers opinions of IVBSS Will evaluate safety, ease of use, comfort and convenience, and willingness to purchase Two questionnaires On-site: highest priority questions Take home: questions of lesser priority
10 Requirements on Data Archive Complete and auditable characterization of events & system performance Highly robust & structured data set Continuous 10 to100 Hz logging (depending on subsystem) ~400 signals on light vehicle and ~300 signals on heavy truck Video collection to provide analysts with situational context for FOT data, especially IVBSS-related events. What was happening inside and outside the vehicle? What did the IVBSS system react to? Secure from data loss, privacy concerns
11 Data Archive Formats & Size Format when archived: Numerical: enterprise-level relational database Video: MPEG-4 compressed video with indexing for synching with numerical data Compression & frame rates vary by video stream Audio: Compressed 64 kbps with indexing Size estimates are preliminary Numerical depends on radar 1-2 terrabyte (TB) order of magnitude Video depends on compression levels 10 TB?
12 Requirements on Data Archive Highly usable: Analyst access to all data within seconds, including video Analysis tools Sharing information between project team & independent evaluator
13 UMTRI integrated data collection and analysis ACAS Project database Test vehicle DAS Data archive/server Visualization/analysis tools DAS files to tables ACAS Sensor Fusion Threat Radar... CAN Main Cpu Cell phone ACAS Data DB Analyst s DBs Participant DB subjective questionnaires SQL analyzer DB manager Data browser Video viewer Desktop database Spreadsheet Forward camera Face camera Audio Phone DB Video Cpu... Video/Audio files
14 Data Acquisition System Two CPU system (CAN/radar + vision/audio) Automotive-grade hard disks CAN and J1939 buses primary data sources Second GPS for analysis (differential) 5 cameras with video capture & compression Up to 7 radars Vehicle motion sensors GPRS/Edge cellular modem DAS power management system
15 Video Scenes Representative Images
16 Monitoring the fleet Track: health of IVBSS & data system usage of vehicle driver experience with IVBSS (alert types & experience) Cellular modem: Trip characteristics, IVBSS actions, health information including histograms
17 Web-based interface for monitoring fleet
18 Virtual Private Network Truck Fleet Location Car Fleet Field Operation Test Local LAN Client VPN Site VPN Site VPN Site VPN Client VPN UMTRI Cellular Wireless Server Server (Assistware) Development Support Site Network Remote Management Cellular Cable Modem Eaton/(Visteon) Site Default GW2 Existing DSL link Wireless AssistWare LAN GW1 Default GW2 Server New Link for Project data VLAN will be connected if Cable Modem bandwidth not enough Default GW1 GW2 Eaton Users Server AssistWare User
19 Summary Data archive several types of data Extensions from previous FOT analyses: More advanced data collection Power through joining diverse types of data: onboard, offboard, driver information. Driving treated as more holistic than previous studies context considered in more detail
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