@article{MAKHILLJEAS2019141518163,
    title = {Hybrid Route Choice Navigation Based on Road Anomaly Data},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {15},
    pages = {5176-5182},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.5176.5182},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.5176.5182},
    author = {Myron C.J. and},
    keywords = {Google Maps,routes,road anomalies,mobile sensors,Firebase,Python,clustering,dynamic
routes,GPS},
    abstract = {This study aims to include the option for the users to choose from the routes based on road quality
when using Google Maps for navigation. The proposed system aims to collect data about road anomalies and
accordingly, give the users more choice of routes from source to destination e.g., faster but bad roads, slower
but smooth roads, lengthy but smooth roads etc. These choices will be in addition to the existing ones provided
by Google Maps. Our system uses Global Positioning System (GPS) along with sensors like accelerometer,
gyroscope to measure the size and level of the anomaly. The goal is to improve the travel quality and experience
for the users especially for elderly people, pregnant women, sick people infants, etc., along with help for
transportation of fragile and delicate goods. We have used Google Maps API, Android, Firebase and Python
to implement our model and we can generate a Google Map with the scatter plot of anomaly data.}
    }