Article(id=1309639103751218039, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1309639098961330724, articleNumber=null, orderNo=null, doi=10.19822/j.cnki.1671-6329.20240299, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790171894251, onlineDateStr=2026-09-23, pubDate=1772640000000, pubDateStr=2026-03-05, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790171894251, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790171894251, creator=13701087609, updateTime=1790171894251, updator=13701087609, issue=Issue{id=1309639098961330724, tenantId=1146029695717560320, journalId=1189645257101713411, year='2026', volume='', issue='3', pageStart='1', pageEnd='62', issueExtLink='null', onlineDate='null', pubDate='1772640000000', pubDateStr='2026-03-05', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790171893109, creator='13701087609', updateTime=1790233836092, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309898906725613985, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1309639098961330724, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309898906725613986, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1309639098961330724, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=50, endPage=55, ext={EN=ArticleExt(id=1309639103948350328, articleId=1309639103751218039, tenantId=1146029695717560320, journalId=1189645257101713411, language=EN, title=Research on the Impact of Traffic Volume on Driving Characteristics and Urban Road Testing, columnId=1309639099678556710, journalTitle=Automotive Digest, columnName=Special Topic on New Energy Vehicle Charging Technology, runingTitle=null, highlight=null, articleAbstract=

To investigate the influence of different traffic flow conditions on vehicle driving characteristics and urban road testing, a statistical analysis is conducted on dynamic parameters such as vehicle speed, gear position, throttle opening, accelerator pedal speed, brake master cylinder pressure, braking frequency, and steering wheel angle, based on real vehicle CAN bus data collected during peak and off-peak hours. The results show that during peak hours, vehicles operate for extended periods at low speeds and in low gears, with significantly higher frequencies of start-stop transitions, accelerating and braking operations, and more frequent activations of driver assistance systems. In contrast, during off-peak hours, vehicles predominantly operate at medium to high speeds and in medium to high gears, with relatively higher power loads and smoother operational stability. The high-frequency, high-load conditions during peak hours are more suitable for verifying the reliability and durability of the vehicle powertrain, braking system, and driver assistance functions in congested environments, while off-peak hours are more conducive to evaluating the overall performance of vehicles under medium-to high-speed conditions.

, authors=Jiaming Chen, Zhanguo Liu, Hao Bo, Siqi Wang, Guanglun Dong, authorsList=Jiaming Chen, Zhanguo Liu, Hao Bo, Siqi Wang, Guanglun Dong, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1309639104183231353, articleId=1309639103751218039, tenantId=1146029695717560320, journalId=1189645257101713411, language=CN, title=交通流量对行驶特征及城市道路试验的影响研究, columnId=1309639101444358696, journalTitle=汽车文摘, columnName=新能源汽车充电技术专题, runingTitle=null, highlight=null, articleAbstract=

为研究不同交通流量对车辆行驶特征及城市道路试验的影响，基于实车采集的高峰与非高峰时段CAN总线数据，对车速、挡位、加速踏板开度、发动机转速、制动主缸压力、制动频率、转向盘转角等动态参数进行统计分析。结果表明：高峰时段车辆长时间处于低速、低挡位状态，启停切换、加速与制动操作频率显著高于非高峰时段，驾驶辅助系统触发更为频繁；非高峰时段车辆则更多运行于中高速、中高挡位区间，动力负载与操作平稳性相对较高。高峰时段的高频、高负载工况更适用于验证车辆动力总成、制动系统及驾驶辅助功能在拥堵环境下的可靠性与耐久性；非高峰时段则更利于评估车辆在中高速条件下的综合性能。

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