Wi-Fi-based crowd counting is predominant because of its noninvasive and ubiquitous
advantages. However, the existing Wi-Fi-based crowd counting systems have the constraint …

This paper explores the idea of enriching maps with features predicted from GPS
trajectories. More specifically, it proposes a method of classifying street intersections …

In many scenarios, information must be disseminated over intermittently-connected
environments when the network infrastructure becomes unavailable, eg, during disasters …

Accurate information of traffic regulators at junctions is important for navigating and driving in
cities. However, such information is often missing, incomplete or not up-to-date in digital …

As a key component of next-generation transportation systems, the intelligent traffic signal
system is designed to perform dynamic and optimal signal control. The USDOT (US …

Service disruptions of rail transit systems have become more frequent in the past decade in
urban cities, due to various reasons, such as power failures, signal errors, and so on. Smart …

Predictive analysis of discrete events in continuous time, such as incidents in public systems
like the rail transit systems, and dwellers' activities of taxi ridings, clinical visits, etc., are …

Barometers are increasingly prevalent in mobile applications. In this work, a range of new
applications using only the smart phone barometer are explored, specifically in the context …

The existing target detection and recognition technology has the problem of fuzzy features of
moving vehicles, which leads to poor detection effect. A moving car detection and …