{"id":227,"date":"2025-01-27T16:11:14","date_gmt":"2025-01-27T21:11:14","guid":{"rendered":"https:\/\/ise.ncsu.edu\/icel\/?page_id=227"},"modified":"2025-06-04T15:52:31","modified_gmt":"2025-06-04T19:52:31","slug":"behavior-modeling-av-users","status":"publish","type":"page","link":"https:\/\/ise.ncsu.edu\/icel\/research\/behavior-modeling-av-users\/","title":{"rendered":"Behavior Modeling of AV Users"},"content":{"rendered":"\n
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Behavior Modeling of AV Users<\/h2>\n<\/div>\n\n\n\n
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Last Updated<\/strong>: 01\/27\/2025 | All information is accurate and up-to-date<\/p>\n\n\n\n

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Main Goals<\/h3>\n\n\n\n
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  • Modeling the behavioral patterns and characteristics of AV users.\n
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    • Drivers, occupants, pedestrians and other road users potentially interacting with AVs.<\/li>\n\n\n\n
    • Guide the design, development and evaluation of human-centric AI functions in intelligent transportation.<\/em><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n

      Research Examples<\/h3>\n\n\n\n
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      \"Naturalistic
      Naturalistic Driving Studies<\/figcaption><\/figure>\n<\/div><\/div>\n\n\n\n
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      \"Behavior
      Behavior Modeling of Vulnerable Road Users<\/figcaption><\/figure>\n<\/div><\/div>\n\n\n\n
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      \"Driver
      Driver Distraction and Relative Risks<\/figcaption><\/figure>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n
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      Naturalistic Driving Study #1<\/h3>\n\n\n\n

      110-car Naturalistic Driving Study<\/strong><\/p>\n\n\n\n

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      • Goal<\/strong>: behaviors of pedestrians and bicyclists in a naturalistic road environment when encountering cars.<\/li>\n\n\n\n
      • Method<\/strong>: Synchronized data from three sources were recorded continuously when the subject is driving through the onboard data collection device hidden behind the rearview mirror.<\/li>\n\n\n\n
      • Scope<\/strong>:\n
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        • Number of primary subjects: 116<\/li>\n\n\n\n
        • Duration: 12 months<\/li>\n\n\n\n
        • Collected raw data size:\n
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          • Driving distance: ~1.44 million miles<\/li>\n\n\n\n
          • Driving time: > 40,000 hours<\/li>\n\n\n\n
          • Video data collected: 90 TB<\/li>\n<\/ul>\n<\/li>\n\n\n\n
          • Dataset<\/strong>:\n
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            • 62,000 pedestrians and 13,000 bicyclists with behavior, environment, and risk labels.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n
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              \"Data
              Data Processing Pipeline<\/figcaption><\/figure>\n<\/div>\n\n\n
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