Mobile phone location determination and its impact on intelligent transportation systems

By Yilin Zhao. IEEE transactions on intelligent transportation systems (Print), 2000

367 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/246bb54ca436ec1dd6f1bdcf220876b2a02b09e3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Electrical and Electronic Engineering

In Transportation

Citations in the corpus

Survey of Cellular Mobile Radio Localization Methods: From 1G to 5G (2018, background): “As it is discussed in [131], uplink ToA suffers by the same limitations as other trilateration methods, such as limited cell”
AMOEBA: Robust Location Privacy Scheme for VANET (2007, background): “Moreover, advances in localization technologies enable accurate location estimation of vehicles based on transmission signal properties such as signal strength [10], [11], and the locations of wireless nodes in outdoor environments can be estimated with high resolution in the order of few meters [12”
Least squares algorithms for time-of-arrival-based mobile location (2004, background): “In practical situations where the TOA measurements are subject to errors, nonlinear least squares (NLS) is an appropriate but computationally demanding approach to estimate the MS position [4].”
A Constrained Least Squares Approach to Mobile Positioning: Algorithms and Optimality (2006, background): “…[1], mobile position information will also be useful in monitoring of the mentally impaired (e.g., the elderly with Alzheimer's disease), young children and parolees, intelligent transport systems, location billing, interactive map consultation and location-dependent e-commerce [2] [3] [4] [5] [6].”
WreckWatch: Automatic Traffic Accident Detection and Notification with Smartphones (2011, background): “Vehicle localization [36] and rapid data acquisition are important to an Intelligent Transportation System (ITS), which utilizes sensor networks to monitor traffic conditions and make adjustments to increase safety and reduce congestion on transportation networks [34].”
Standardization of mobile phone positioning for 3G systems (2002, background): “Readers can refer to [9] for more information regarding these methods.”