An Assistant Decision-Supporting Method for Urban Transportation Planning over Big Traffic Data
With the acceleration of population urbanization and urban-land expansion,new communities and economic zones have been springing up every-where.As a fundamental requirement,scientific and rational transportation planning is definitely necessary for constructing public transport links in these new urban districts.To satisfy this requirement,an assistant decision-supporting method for urban transportation planning is proposed in this paper.The method is based on a real-world “big data – a taxi-GPS trace data set generated by GPS-equipped taxis.Technically,a bidirectional transportation planning principle is designed to provide a reference standard for urban transportation planning.In order to improve the scalability and efficiency of the proposed method in “Big Data environment,the HANA in-memory database is employed for the method implementation.Finally,extensive experiments are conducted to validate the feasibility and efficiency of the proposed method.
assistant decision-supporting method urban transportation planning big data taxi-GPS trace
Xiaolong Xu Wanchun Dou
State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing,China;Department of Computer Science and Technology,Nanjing University,Nanjing,China
国际会议
南昌
英文
1-15
2013-09-26（万方平台首次上网日期，不代表论文的发表时间）