摘要
为减少迷茫道路条件下由驾驶人偏航引发的交通事故,提高道路驾驶安全,论文以偏航频发的城市快速路五岔路出口为研究对象,从导航语音播报措辞着手,基于驾驶模拟技术获取驾驶行为数据并选取6项评估指标,从驾驶效率和稳定性两个层面分析驾驶人在不同导航播报措辞下的行为表现,并采用TOPSIS评估方法选取最优播报措辞。研究结果表明,在城市快速路五岔路出口,不同导航播报措辞对驾驶行为的影响具有差异性,信息量适中的措辞下驾驶高效且稳定,措辞信息量太少不利于驾驶效率和安全。这一结果说明,导航信息量应该适中,太少容易导致迷茫,太多则会造成信息负荷,而迷茫或信息负荷必定对驾驶行为产生不良影响。本研究对城市快速路多岔路的导航播报措辞设计具有指导作用,为陆地车辆导航语音标准制定提供理论支持。
In order to reduce the traffic accident caused by the deviation of the driver under the complicated road conditions and to improve the driving safety,the exits of urban expressway with five forks were taken as the research object.Based on the driving simulation technology,the driving behavior data was obtained and evaluated with six indicators.The driver's behavior was analyzed from the aspects of driving efficiency and stability under different navigation broadcast wording.The TOPSIS evaluation method was used to select out the optimal broadcast wording.The results show that different navigation broadcasts have different influence on the driving behavior at the five forks of urban expressway.The driving behavior under navigation broadcasts with a moderate amount of information is efficient and stable,and the driving behavior is the worst under navigation broadcasts with too little information.This result indicates that the navigation information needs to be moderate.Broadcasts with little information can easily lead to confusion,while broadcasts with too much information will increase the information load.Both confusion and the increase in information load have a negative impact on driving behavior.This study can provide guidance for the design of the navigation broadcast wording in urban expressways with multiple forks.
作者
边扬
俞洁
赵晓华
杨丽平
BIAN Yang;YU Jie;ZHAO Xiaohua;YANG Liping(School of Urban Transportation,Beijing University of Technology,Beijing 100124,China)
出处
《华南理工大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2020年第11期30-37,54,共9页
Journal of South China University of Technology(Natural Science Edition)
基金
交通运输部科技项目(2018-16-17)。
关键词
导航
播报措辞
驾驶行为
TOPSIS评估方法
驾驶模拟技术
navigation
broadcast wording
driving behavior
TOPSIS evaluation method
driving simulation technology