Abstract
Understanding the traffic situation of urban area is an important research direction, especially in rapidly growing cities still struggling with congested and inefficient traffic situation. Since the conventional large-scale surveys for traffic demand analysis are time-consuming and expensive, demand for traffic situation estimation based on large-scale mobile phone data is increasing. The purpose of this work is to estimate the link-based traffic situation of the metropolitan area of Dhaka based on sparse but long-term mobile phone Call Details Records (CDRs) data. In our methods, we extracted ODs from CDRs with simple extraction of continuous records with locational difference from long-term CDRs proposed by Wang et al (2012). After that, we assigned hourly total trip into individual trip according to the derived ODs. Finally, we assigned each route with ITA method. In the end of this paper, our discussion on possible error factors for future works is included.
