摘要
鉴于不同城市类型中出行者信息类型的比例差异明显,对路网中出行者进行分类,引入体现出行者信息反应类型的比例组合变量,结合以网络效率为衡量目标的交通网络模型,给出了不同出行者比例和信息条件下的网络效率仿真演化曲线。结果表明,交通网络效率受不同类型出行者比例影响变化显著,变化趋势与经验出行者的比重密切相关;在交通信息供给充分的条件下,并不是信息出行者越多,网络效率就越高。同一出行者比例下,交通信息的质量与网络效率成正比。
Urban type has a marked impact on the proportion of the traveler's information type. The travelers were classified and a proportion portfolio variable was introduced that could reflect traveler's information reaction type. Based on the traffic network model, a network efficiency simulation evolution curve was proposed. The results show that traffic network efficiency is significant, affected by the proportion of travelers, and the change is closely related to the proportion of experience traveler. Moreover, the positive correlation between the quantity of information travelers and network efficiency doesn't exist when traffic information is sufficient. The quality of traffic information is proportional to network efficiency for the same ProPortion of traveler.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2014年第11期2612-2617,共6页
Journal of System Simulation
基金
国家自然科学基金资助项目(71371111)
山东省科技发展计划项目(2013GGB01101)
中国博士后科学基金面上资助项(2013 M531634)
山东科技大学研究生创新基金项目(YC140364)
关键词
交通信息
出行者比例
网络效率
路径选择
仿真
urban traffic
traffic information
traveler's proportion
route choice
simulation