Estimating instant traffic information by identifying handover patterns of UMTS signals

Abstract

² With the growing popularity of cellular phones, using cellular signaling data to collect traffic information has become an attractive technique to replace VDs (Vehicle Detectors). However, most previous studies have focused on GSM network instead of the ongoing UMTS due to some special properties in UMTS. In this paper, a passive framework with multiple handover pattern exploring and traffic information estimating strategy is proposed to fit characteristics of UMTS signaling data. Experiments from real-time UMTS signals result in a mean relative error around 14% to the information collected from VDs.

Deriving the Vehicle Speeds from a Mobile Telecommunications Network

“…The ITS server computes the speeds according to the received GPS coordinates. • Cellular floating vehicle data (CFVD) [8]- [10], [16], [17]:…”

“…On the other hand, the GVP and CFVD approaches are typically developed by the telecommunication operators. The VD approach suffers from high construction and maintenance costs for detectors [8], [10]. The GVP approach requires that the UE devices are equipped with the GPS receivers, and it consumes extra radio resources to transmit the GPS data.…”

Deriving the vehicle speeds from mobile telecommunications network

“…On the other hand, the GVP and CFVD approaches are typically developed by the telecommunication operators. The VD approach suffers from high construction and maintenance costs for detectors [8,10]. The GVP approach requires that the UEs are equipped with the GPS receivers, and consumes extra radio resources to transmit the GPS data.…”

Estimation of traffic flow using passive cell-phone data

“…each one suffering from a number of limitations. The literature has already focused on using cell-phone data for estimating traffic [1]. Although the best part of those studies use active information (CDRs or handovers), there are also studies that focus on using passive information [2] Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.…”