Most of the data gathering devices used for monitoring driver’s behavior
require large storage, strong cellular signals, and unlimited internet.
Touching mobile devices, during driving, is prohibited by many law enforcement
agencies. There are situations, especially in developing countries, where people
get stuck on roads with a low battery, low device-memory, and no mobile
network. The drivers in such situations are not able to
report against reckless drivers effectively.
This paper proposes the
framework of the “citizen reporting program” (CRP) aided with mobile apps to
reduce reckless driving in such resource-constrained
(RCS). A mobile app was designed, developed, and tested as a
tool for this purpose. It could convert speech to text without a cellular
network, capture the nearest geolocation, and send data to a server on the network
or internet availability. We tested its reliability for converting speech to
text and got a “word error rate” (WER) of less than 5%. We tested its
functional usability and got a score of more than 71% on the system usability scale (SUS).
showed a favorable response of 70 plus % in reducing reckless driving via CRP
in RCS if aided with mobile apps.
ORCID of Submitting Author0000-0002-1574-944X
Submitting Author's InstitutionPerrigo
Submitting Author's CountryUnited States of America