Abstract
Map services and applications have been studied extensively within the mobile computing community in the past two decades, starting from standalone GPS receivers and then moving toward connected smart terminals with live digital maps of transportation networks and even real-time traffic. More recently, with the deep penetration of modern 3G/4G networking and social networking, the crowd intelligence from the social community has been explored toward crowdsourced navigation. In this article, we first provide an overview of the past and present road navigation technologies. We then discuss very recent advances in crowd intelligence, identifying the unique challenges and opportunities therein. We further present a case study that utilizes the crowdsourced driving information to combat the last mile puzzle for road navigation.
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