The use of mobile phone location data for traffic information

Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome

“…6) It estimates the ME position, finding the point that minimizes the mean square error between measured and estimated mean power received by all BTSs. In particular, for each point p of the grid and considering the ith BTS, it calculates the error function e i (p) = P m i − P c i (p), where P m i is the power measured by the ME on the ith BTS; then, it estimates the ME position p * , finding the point p that minimizes the mean square error e(p) 2 …”

“…Several projects regarding feasibility and field tests of ME location-based ITSs have been developed in Europe (e.g., France [1] and U.K. [2]) and North America (e.g., California [3], [4] and Washington, DC [5]). Bolla and Davoli [6] presented a model for estimating traffic by means of an algorithm that calculates traffic parameters on the basis of mobile phone location data.…”

MMaPFlow: A Crowd-sourcing based Approach for Mapping Mass Pedestrian Flow

“…Calabrese et al [18] used subscriber location data to monitor urban movement in real-time. Other researchers in [19,20,21] have also carried out similar studies. Mitchell et al [22] calculated tawaaf statistics using RFID tags augmented with mobile phone data.…”

Generating Road Traffic Information from Cellular Networks - New Possibilities in UMTS

“…The first one is based on analysis of billing information sent from the core network. This approach is used in [8], [19]. The billing information is not as detailed as the information available in the radio access network and hence more information is available by listening to an interface of the radio access network.…”