Indonesia Conference Directory

Traffic congestion is a complex, nonlinear spatiotemporal modeling problem. By collecting and analyzing a vast quantity and different categories of information, traffic flow and road congestion can be predicted and avoided in intelligent transportation system. This report provides an analysis about traveling time across Taiwan from North to South, vice versa. We analyze traffic in a national freeway section between Tainan and Kaohsiung, which represents the common trip of the population. The case study is recorded especially between Tainan and Kaohsiung using TDCS database provided by Ministry of Transportation in Taiwan. We use MapReduce framework to process data into smaller task which can be distributed on several computer cluster to speed up the process. The results show that traffic flow spatiotemporal model is strongly influenced by holidays, direction and working hour with a recurring pattern for each week.