高速公路交通態(tài)勢(shì)流動(dòng)感知技術(shù)的應(yīng)用研究
打開(kāi)文本圖片集
摘要:基于車聯(lián)網(wǎng)視頻的交通態(tài)勢(shì)流動(dòng)感知技術(shù)應(yīng)用,能彌補(bǔ)固定路網(wǎng)監(jiān)測(cè)站點(diǎn)的不足,該應(yīng)用通過(guò)人工智能技術(shù)完成各類交通事件的智能識(shí)別上報(bào),并基于高速路網(wǎng)大數(shù)據(jù)研究流動(dòng)監(jiān)測(cè)車輛部署及路線方案,解決高速管理單位巡檢痛點(diǎn),建立高效的事件風(fēng)險(xiǎn)監(jiān)控機(jī)制。
關(guān)鍵詞:流動(dòng)感知技術(shù);高速事件檢測(cè);時(shí)空分布研究;自動(dòng)化巡檢
中圖分類號(hào):U491.1 + 12 文獻(xiàn)標(biāo)識(shí)碼:A 文章編號(hào):1673-6478(2023)05-0207-05
Research on Application of Traffic Situation Dynamic Awareness Technology on Expressway
TIAN Weinan, SUN Ruiwei, SUN Xiuzhen
(Yunnan Communications Investment & Construction Group Co., Ltd., Kunming Yunnan 650000, China)
Abstract: The application of traffic situation dynamic awareness technology based on Internet of Vehicles video can make up for the shortage of fixed road network monitoring stations. This application completes intelligent identification and reporting of various traffic events through artificial intelligence technology, and studies the dynamic monitoring vehicle deployment and route scheme based on the big data of the expressway network. The aim is to solve the inspection pain points of the expressway management unit, and establish an efficient event risk monitoring mechanism.
Key words: situation dynamic awareness technology; expressway event detection; spatio?temporal distribution research; automatic detection
0 引言
近年來(lái),隨著高速公路的建設(shè)及車輛保有量的增長(zhǎng),城市路網(wǎng)高峰行程延時(shí)指數(shù)上升,五一等節(jié)假日高速擁堵指數(shù)也同比上升[1],同時(shí)道路上各類違章、異常事件也大量增加。(剩余5614字)