项目名称: 基于认知模式与信息搜寻的驾驶员出行信息环境优化及仿真
项目编号: No.61263025
项目类型: 地区科学基金项目
立项/批准年度: 2013
项目学科: 自动化技术、计算机技术
项目作者: 戢晓峰
作者单位: 昆明理工大学
项目金额: 43万元
中文摘要: 出行信息是驾驶员出行决策的重要依据与交通管理的有效手段,良好的出行信息环境能够提高出行效率并缓解交通拥挤,但现有相关研究较少关注于驾驶员出行信息环境的评估与优化。本项目首先解析驾驶员出行信息的多源、异构与模糊特征,建立驾驶员的出行信息认知模式与出行信息搜寻行为模型;然后利用驾驶模拟仿真系统开发多源出行信息环境下的驾驶仿真实验场景,设计驾驶仿真实验获取多源出行信息环境中的驾驶决策行为规则;在此基础上,建立出行信息认知与搜寻行为、信息内容与类型等因素对出行信息服务水平的作用机制,提出驾驶员出行信息服务水平的评估模型与算法;最后,设计仿真实验对比分析不同出行信息服务水平对出行效率的实际影响,并提出驾驶员出行信息环境的集成优化策略。项目研究结果可为驾驶员出行信息环境评估与优化提供理论依据,并为ATIS规划提供实践基础。
中文关键词: 先进的出行者信息系统;驾驶仿真试验;出行决策行为;多源出行信息;认知模式
英文摘要: Travel information is the important basis for drivers'travel decision-making and the effective means for traffic management and control, providing good travel information envirenment could improve travel efficiency and alleviate traffic congestion, but related studies were paid less attention to drivers' travel information envirenment evaluation and optimization. Firstly, the multi-source, heterogeneous and fuzzy features of drivers' travel information would analyze in this program, and the drivers' cognitive model and searching behavior model of travel information are also proposed. Secondly, the driving simulation interface under multi-source travel information is devised used driving simulation system, driving simulation experiments are designed to obtain the driving decesion-making behavior rules. Then, the action mechanism which drivers' cognition and searching behavior, information content and forms affecting travel information service level would propose, and the model and algorithm of travel information service level evaluation are also given. On that basis, the action mechanism between travel information service levels and travel effeciency is obtained based on road network simulation experiments under different travel information service levels. Finally, integration optimization strategies for travel
英文关键词: ATIS;Driving simulation test;Travel decision behavior;multi-source travel information;cognitive model