TY  - JOUR
T1  - Hybrid Route Choice Navigation Based on Road Anomaly Data
AU - Fernandes, Myron C.J. AU - Soundarabai, Beaulah 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 15
SP  - 5176
EP  - 5182
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.5176.5182
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.5176.5182
KW  - Google Maps
KW  -routes
KW  -road anomalies
KW  -mobile sensors
KW  -Firebase
KW  -Python
KW  -clustering
KW  -dynamic
routes
KW  -GPS
AB  - 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.
ER  -