摘要
为了探索图状信息板(GRIP)对驾驶员路径选择行为的影响因素及其影响程度,借助GRIP信息发布平台,在信息板同时提供前方道路交通问题性质、事故严重程度的情况下,利用全因子方法设计了GRIP的6种假定交通情景,并对这6种情景下驾驶员路径选择行为数据进行采集.采用离散选择分析方法对路径选择行为的影响因素进行了多变量分析,并建立了路径选择概率的多元logit模型.研究表明,驾驶员对GRIP影响下路径选择影响程度的认知、开车类型、月收入、交通问题性质及严重程度在不同程度上影响驾驶员的出行决策行为.
To explore the graphical route information panel’s (GRIP’s)impacts and its influential degree on the driver route choice,with the help of a graphics board information release platform to provide the nature of traffic problems in front of the road and to learn the severity of the accident, a full factorial design method was adopted to figure six kinds of assumed traffic scenario message boards.The drivers’route choice behavior data was obtained under these six scenarios.With the discrete choice analysis method,a multivariate analysis about the influencing factors on route choice behavior was conducted,and a multi-path selection probabilities logit model was established.It is shown that the path selection of drivers under GRIP can be affected by the degree of GRIP influence cognition,car type,monthly income,the nature of traffic and the severity of the problems which influence their route choice decision to some extent.
出处
《上海理工大学学报》
CAS
北大核心
2015年第5期479-484,共6页
Journal of University of Shanghai For Science and Technology
基金
上海市研究生创新基金资助项目(JWCXSL1202)
国家自然科学基金资助项目(51008195)
上海市重点学科建设资助项目(S30504)
上海市教委科研创新资助项目(09YZ205)
关键词
图状信息板
意向调查
路径选择
多元
LOGIT
模型
graphical route information panel
stated preference survey
route choice
multivariate logit model