孫浩　李政　高深圳　胡雅琪　秦丹丹

摘 要：基于網(wǎng)聯(lián)環(huán)境下的實時車輛信息交互與道路信息獲取，提出了一種利用累積閾值的設計思路來優(yōu)化車輛安全預警系統(tǒng)。通過對實時的車速與路況等參數(shù)的分析，結合基于道路渠化所得的沖突區(qū)域，建立交叉十字路口沖突模型，得到車輛沖突時間軸，以此判斷是否存在潛在沖突。同時，隨著預測所得潛在沖突數(shù)的累積，當達到所設閾值后，確定事故發(fā)生并進行預警。該方法可為車輛安全系統(tǒng)的設計甚至自動駕駛相關研發(fā)提供一種新思路，提高碰撞預警的準確性，具有較高的安全效益。

關鍵詞：車聯(lián)網(wǎng) 交叉口安全 沖突區(qū)域 系統(tǒng)優(yōu)化

Optimization of Vehicle Safety Early Warning at Intersections based on the Networked Environment

Sun Hao Li Zheng Gao Shenzhen Hu Yaqi Qin Dandan

Abstract：Based on the real-time vehicle-to-vehicle information interaction and road information acquisition in a networked environment， a design idea using cumulative thresholds is proposed to optimize the vehicle safety early warning system. Through the analysis of real-time vehicle speed and road conditions and other parameters， combined with the conflict area obtained based on road channelization， a crossroad conflict model is established to obtain the vehicle conflict time axis to determine whether there is a potential conflict. At the same time， as the predicted number of potential conflicts accumulates， when the set threshold is reached， the occurrence of an accident is determined， and an early warning is given. This method can provide a new idea for the design of vehicle safety systems and even the research and development of autonomous driving， improve the accuracy of collision warning， and have higher safety benefits.

Key words：internet of vehicles， intersection safety， conflict areas， system optimization