Open AccessCost‐effective ubiquitous method for motor vehicle speed estimation using smartphones
Author(s) -
Bagheri Shahrzad Moeiniyan,
Assemi Behrang,
Mesbah Mahmoud,
Hickman Mark
Publication year - 2018
Publication title -
iet wireless sensor systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.433
H-Index - 27
ISSN - 2043-6394
DOI - 10.1049/iet-wss.2018.5023
Subject(s) - data collection , global positioning system , computer science , real time computing , range (aeronautics) , pipeline (software) , raw data , acceleration , data processing , automotive engineering , simulation , engineering , telecommunications , mathematics , classical mechanics , programming language , aerospace engineering , operating system , statistics , physics
Estimating longitudinal vehicle speed is required in a wide range of applications from road safety to vehicular emissions modelling. Each vehicle speed estimation method has specific challenges including the high cost of measurement equipment, the small range of vehicle models accessible for performing tests and the low resolution of data in time and space. Thus, the goals of this study are (a) to investigate the use of smartphones’ integrated sensors as a convenient, reliable and powerful means of vehicle speed data collection which would mitigate the issues observed in previous methods, and (b) to propose a post‐processing pipeline for generating vehicles’ speed profiles based on the raw data captured by the proposed data collection method. Accordingly, a smartphone application is developed to facilitate the collection of vehicles’ movement data, particularly inside tunnels and high‐density urban areas, where state‐of‐the‐art global positioning system (GPS) applications fail to record the desired data. Moreover, a post‐processing pipeline is proposed for calculating vehicles’ speed profiles and emissions from the raw smartphone acceleration data, and the full system is evaluated through a series of controlled experiments as well as simulations.