Conference Proceedings

Follow The Best: Crowdsourced Automated Travel Advice

A AlDwyish, E Tanin, S Karunasekera

Association for Computing Machinery (ACM) | Published : 2017

Abstract

Recently many navigation services have started to collect traffic data from drivers to enhance their services. The focus of their efforts are on real-time estimation of traffic conditions to offer better navigation services and help people avoid traffic incidents. However, using drivers as mere traffic sensors and aggregating their data disposes off any human knowledge and judgment that exists in their choices. Commuters in a city have a valuable knowledge about their city traffic patterns as a result of their daily commute over many years. In our work we take a different approach to navigation advice, we use individual driver trajectories to deduce travel choices. Our goal is to help driver..

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