复杂交通场景智能驾驶典型工况风险特征分析

打开文本图片集

中图分类号：U463.6 文献标识码：A 文章编号：1003-8639（2026）02-0035-03

Analysis of Risk Characteristics of Typical Operating Conditions for Intelligent Driving in Complex Traffic Scenarios

Zhong Chenzhipeng

(SchoolofAutomotiveandAviationAcademy,Jiangxi Technical CollegeofManufacturing,Nanchang 33oo95,China)

【Abstract】This study is grounded in the publicly accessbledata from the NHTSA Autonomous Vehicle Accident Reports spanning from 2021-2025[1] . It undertakes a risk characteristic analysis of typical operating conditions of intelligent driving withincomplex trafcscenarios.Specificaly,thretypicaloperatingconditionsareinvestigated: intersections,ig density scenarios,and mixed-driving scenarios.Riskcharacteristics are extracted,andthecausesof accidents areanalyzed in depth.Theresearchreveals thatdistinctoperating conditionsexhibituniquerisk patterns.Forthe intersectionoperating condition,thecriticalrisk factors include non-compliant behaviorssuchasrunningredlightsand making ilegal turns. In the high-density traffc lane changing operating condition,the primaryrisk factors are insufficient vehicle spacing and frequentlanechanging maneuvers.Inthe lanechanging operatingconditionof the mixeddriving scenario,therisk factors are attributed tothebehavioral disparities between humandrivenandautonomous vehicles.This researchofers data support andadecision-making foundationforenhancing thesafetyofintellgentdriving incomplex traffc scenarios.Itisconducive to making targeted improvements to intelligent driving algorithmsand traffic management strategies.

【Key words】complex traffic scenarios;；intersections；high-density traffic;mixed driving scenarios;risk characteristics

0 引言

智能驾驶技术正从实验室走向规模化路测，其在复杂交通场景下的安全性验证已成为产业落地的关键瓶颈[1]。（剩余4914字）