설명
This training will assist students in mastering the science of driver behavior. Students will move beyond assumptions; they will learn to build casework on a scientific foundation designed for the modern reconstruction professional. Students will learn:
- Core Definitions & Onset Principles: Establish a rigorous vocabulary and understanding of foundational event sequencing.
- Hazard Anticipation & Early Detection: Deconstruct the critical time windows involved in pre-crash awareness and reaction.
- Intro to Nighttime Visibility: Learn the basics of human visual constraints in low-light conditions and proper scene documentation.
- Pedestrian & Driver Modeling: Gain practical data for modeling walking speeds, acceleration profiles, and lane-change behavior.
- Practical Time–Distance Analysis: Master techniques for applying scientific principles directly to reconstruction calculations.
- Distraction, Fatigue, & Impairment: Understand the mechanisms and measurable effects of key driver performance degraders.
- Intersection Decision-Making: Review current research on why drivers do, or do not, pull into traffic.
- Advanced Casework Foundation: Build the knowledge base necessary to pursue complex and specialized human-factors analysis.
강의 일정 및 장소
July 13 - 17, 2026
Hampton Police Department
300 Butler Farm Road
Hampton, VA
대상 고객
Ideal for investigators, reconstructionists, and analysts seeking to strengthen the human-factors component of their work.
선행 조건
Due to the highly technical subject matter, applicants must have successfully completed the Advanced Traffic Crash Investigation course offered by the Institute of Police Technology and Management (IPTM), Virginia DMV Highway Safety Office, or its equivalent.
등록
이 과정은 버지니아 주 경찰관에게 무료로 제공됩니다. 좌석은 25 로 한정됩니다.
등록하려면 마이클 내쉬에게 이메일(michael.nash@dmv.virginia.gov )로 문의하세요. 를 클릭하고 다음 정보를 제공하세요:
- 기관명
- 이름과 계급/직위
- 연락처 전화번호 및 이메일 주소
- 고급 충돌 조사 과정 또는 이와 동등한 과정의 성공적인 참여 완료일.
- 사고 조사 및 재현 경험
필요한 재료
학생들은 수업에 다음과 같은 자료를 가져오시기 바랍니다:
- 과학용 계산기
- 나침반
- 1 1/2" three-ring binder (recommended