FCD-based Identification Method for Urban Recurrent Traffic Congestions

The recurrent traffic congestion has seriously affected the operating efficiency of urban road network .I-dentification of recurrent traffic congestions is the primary task of transportation agencies to solve the problem of traffic congestions .By using Floating Car Data (FCD) as the data basis ,this paper first determined the time aggregation level for analyzing FCD samples .Then ,from the aspect of spatial-temporal distribution characteristics ,this paper established three-stage screening indexes of recurrent traffic congestions ,including CThreshold ,CPercentage ,and CTime .By using the GIS technology and with combination of the indexes ,a spatial-temporal-distribution-based screening platform of recur-rent traffic congestion was developed .Finally ,this paper conducted a case study in Beijing and identified the recurrent traffic congestions for the morning peak hours .Based on the result analysis and comparisons with the relevant data ,it is demonstrated that this study is able to represent the characteristics of recurrent congestions and the congestion mitigation effect in recent years .