Intelligent Viaduct Recognition and Driving Altitude Determination Using GPS Data

Abstract

Abstract-The rapid development of road networks in highly urbanized cities requires a substantial number of viaducts to reduce the increasing traffic burden on urban highways. Unfortunately, this road design deteriorates the performance of global positioning system (GPS) navigators due to the signal blockage between satellite and receiver. As a result, it is difficult for GPS navigators to determine whether the vehicle is driving on the street or viaduct. Misleading information could confuse drivers and lead them to drive irregularly, which is dangerous in heavy traffic. This paper proposes a novel classification algorithm based on the fact that different satellite signals and conditions can be observed in the on-street and on-viaduct cases by the implementation of dynamic Bayesian network (DBN) to distinguish the driving area of a vehicle. In addition, the proposed DBN can also accurately estimate the driving altitude of the vehicle according to the experiment results.

Adaptive GNSS Receiver Design for Highly Dynamic Multipath Environments

“…Several researchers have used signal characteristics (i.e., No. of visible satellites, DOP and signal strength/CNR) to propose algorithms for environment detection using the machine learning techniques, fuzzy inference systems, stochastic modelling and Hidden Markov model [47]- [49], [60],…”

Urban environment recognition based on theGNSSsignal characteristics

“…The first algorithm uses the traditional signal feature vectors ℏ and the basic SVM algorithm to recognize the type. The parameters of the traditional signal feature vectors ℏ adopted by many previous types of research are signal strength means, signal strength variance, DOP value, and number of visible satellites . The second one uses the proposed signal feature vectors and the basic SVM algorithm.…”

“…Since the GNSS signal is very weak in the indoor environment, this feature can be used to distinguish between indoor or outdoor scenes . For vehicular navigation applications in the city, these characteristics of GNSS signals can help to distinguish if the location of the receiver is above the viaduct or below the viaduct . However, this algorithm can only distinguish these two types of environments, and it needs the height value of viaducts as a priori information.…”