With rapid economic and demographic growth, traffic conditions in medium and large cities
are becoming extremely congested. Numerous metropolitan management organizations …

With the development of cities, urban congestion is nearly an unavoidable problem for
almost every large-scale city. Road planning is an effective means to alleviate urban …

Rapidly growing Global Positioning System (GPS) data plays an important role in trajectory
and their applications (eg, GPS-enabled smart devices). In order to employ K-means to mine …

With the widespread use of GPS equipment, a large amount of mobile location data is
recorded, and urban hotspot areas extracted from GPS data can be applied to location …

With the development of information technology, it is possible to explore the spatial-temporal
distribution characteristics of taxi travel demand by examining taxi GPS location data in …

To overcome the shortcomings of K‐means clustering including clustering numbers,
sensitivity to clustering center (seeds) and local optimization, this article proposes an …

Urban hotspot area detection is an important issue that needs to be explored for urban
planning and traffic management. It is of great significance to mine hotspots from taxi …

The original K-means clustering algorithm is seriously affected by initial centroids of
clustering and easy to fall into local optima. To solve this problem, an improved K-means …

Traffic zone division plays an important role in analyzing traffic flow and the trend of city
traffic. A traditional method based on sampling investigation has the shortcomings of high …

Determining suitable bus-stop locations is critical in improving the quality of bus services.
Previous studies on selecting bus stop locations mainly consider environmental factors such …