摘要
提出一种基于车联网的智能交通管理及决策依据的设计方案。该方案以车载、公交站点、智能手机作为信息采集和查询终端,从信息查询、实时路况、自助打车、优化路线、提高管理效率等软措施来缓减交通拥堵。根据历史数据进行挖掘,进一步发现和分析路况瓶颈,为优化城市交通提供依据。结合实例,验证了设计方案的可行性和有效性。
We present a design scheme for intelligent transportation management and decision-making basis,it is based on Internet of Vehicles （IoV）.Using on-vehicles,bus stations and smart phones as the data collection and query terminals,the scheme alleviates the traffic congestion through the soft measures of information query,real-time traffic report,self-help taxiing,route optimisation and management efficiency improvement.It mines according to historical data for further discovering and analysing traffic bottlenecks,and provides the basis for urban traffic optimisation.Combining the practical examples,we have verified the feasibility and effectiveness of our design scheme.
出处
《计算机应用与软件》
CSCD
2015年第4期83-86,共4页
Computer Applications and Software
基金
辽宁省教育厅科研项目(L2012492)
