Abstract
An efficient road transportation network infrastructure is crucial to facilitate economic growth and development. Smartphones can be used to collect data on aspects such as road surface conditions, traffic congestion, driver behaviour and vehicle telemetry. This study reviews how data obtained from built-in smartphone sensors can be collected and used to optimise traffic flow in heavy vehicles, such as trucks. The research methodology is based on a systematic review, in which research themes were extracted from a sample of 64 peer-reviewed empirical research articles so as to identify trends in using smartphone sensors to assist in optimising traffic flow. The results of the review demonstrate that built-in smartphone sensors offer an innovative, cost-effective and large-scale alternative to collecting valuable information for use in road transport monitoring and management. Road authorities and drivers will benefit from accurate real-time road condition information to assist with, among other things, decision-making regarding the location of road anomalies, the state of road conditions, traffic congestion, driver behaviour and vehicle diagnostics.
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