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Collaborative recommender system recommends items to the user based on what actions that other users in the same environment did in the past. This paper focuses on recommending popular places based on behavior of Global Positioning System (GPS) traces to multiple users. Collecting different reviews of popular places from multiple visitors is an explicit way to help Recommender System to rate these...
Mobile crowd sensing (MCS) is as a promising people-centric sensing paradigm which allows ordinary citizens to contribute sensing data using mobile communication devices. In this paper we study correlation between users' mobility and their role as contributors in MCS applications. We propose a new trajectory-based approach for task allocation in MCS environments and model participants' spatio-temporal...
There are different functional regions in cities such as tourist attractions, shopping centers, workplaces and residential places. The human mobility patterns for different functional regions are different, e.g., people usually go to work during daytime on weekdays, and visit shopping centers after work. In this paper, we analyse urban human mobility patterns and infer the functions of the regions...
Applications utilizing many types of location data, such as traffic congestion estimation and facility management using indoor pedestrian tracks, have been rapidly increasing. Such applications require the integration of various locational data from different data sources to produce more values. Efforts to ensure smoother data exchange are required for promoting the use of such applications because...
People suffering from mild cognitive impairments and early stages of dementia may notice a deterioration in their memory functions. Consequently, disorientation or wanderinglike behaviours might occur in their daily activities. Detecting wandering in trajectories is a complex task highly influenced by the technology/ies used and the context in which people move. Hence, there is no commonly accepted...
Trip time prediction is an important problem. Taxi passengers often want to know when they will arrive at their destinations. We design a method of predicting taxi trip time by finding historical similar trips. Trips are clustered based on origin, destination, and start time. Then similar trips are mapped to road networks to find frequent sub-trajectories that are used to model travel time of the...
Motivated by the emergence of the Internet of Things (IoT), and by the importance that location information has on many complex systems scenarios, we propose a hybrid scheme for user positioning in an urban scenario. The system uses both a Global Navigation Satellite System (GNSS) and a Magnetic Positioning System (MPS). To maintain receiver complexity and cost at a minimum, the location scheme combines...
The missing trajectory problem is a difficulty in various transportation applications, e.g. the road which the truck usually travels and the driver's behavior. Most of previously developed missing data are not concerned about the spatial and continues space. Therefore, in this article, an algorithm is proposed to complete the missing trajectory in a vehicle's trace. The possible traces are found out...
With the rising number of vehicles equipped with GPS system, a lot of vehicle trajectories are produced every day. At present researchers begin to study the vehicles' trajectory data. But the current trajectory compression technology cannot be very simple and will lose much information. Therefore, this paper puts forward a data warehousing design of vehicle trajectory. It can store compressed vehicle...
It is important to match vehicle GPS points onto a map. Many map-matching algorithms, which use heading, speed and position to complete the map-matching process, are not suitable for the low frequency GPS data. The distance between two adjacent GPS points in the low frequency GPS data can range from 500m to 1000m, and the vehicle can cross several streets. This paper puts forward a modified weight-based...
Trajectory segmentation, i.e., breaking the trajectory into sub-trajectories, is a fundamental task needed for many applications dealing with moving objects. Several methods for trajectory segmentation, e.g., based on minimum description length (MDL), have been proposed. In this paper, we develop a novel technique for trajectory segmentation which created a series of oblique envelopes to partition...
In this paper, a new personal safety forewarning approach (PSFA) using GPS positioning and spatial analysis is presented. Specifically, we discussed the spatial topological relationships between the spatiotemporal objects related to personal safety. On that base, safety state is assessed through the calculation of a state matrix and then how to affirm the factors related to forewarning response is...
In recent years, the wide usage of GPS-enabled devices has generated vast volumes of spatio temporal streams of location data, which raising management challenges, such as efficient storage and querying. Therefore, compression techniques are inevitable also in the field of moving object databases. In this paper, we propose a line simplification technique to compress moving object trajectories, which...
The technological development of inexpensive GPS receivers has enabled a new realm of applications for embedded sensing systems. The availability of location information allows these sensing system to study the motion trajectories of humans, animals, and objects. The storage of the collected trajectory data, however, represents a challenge for constrained devices with limited memory. In fact, external...
Space-borne commercial Opportunity Illuminators present interesting characteristics (global coverage and availability). An analysis of these illuminators' imaging capabilities has been carried out. Resolution requirements for classification purposes has been considered and the impact of the desired target size and dynamics studied. Small-medium ships, light aircrafts and UAVs have been considered...
In this article, we proposed a framework to realize vision based multi-UAV cooperative mapping and control with image based visual servoing (IBVS). Equipped with a camera on each UAV platform respecitively, the multi-UAV system with overlapping camera field of view (FOV) can achieve ground mapping and formation cooperatively by image information interaction. Initially, we introduce the Multi-UAV system...
Left-turn collisions are one of the most common types of traffic accidents at intersections because of the lack of broad vision. Collision warning system provides an effective way to solve the problem, but the poor accuracy of the trajectory prediction module in the collision warning system reduces it reliability. In this paper, we studied the trajectory prediction of left-turn vehicles at T-shaped...
With current on-board GPS devices a lot of data is being collected while operating taxis. This paper focuses on analysing travel behaviour and vehicle supply of the Berlin taxi market using floating car data (FCD) for one week each in 2013 and 2014. The data suggests that there is generally a demand peak on workday mornings and a second peak over a longer time in the afternoon. On weekends, the demand...
Determining the location of depots of car sharing systems is a fundamental problem in car sharing systems. Existing methods to determine the location of depots mainly use qualitative method and do not take real demand into account. This paper proposes a novel optimization approach to determine the depot location in car sharing systems scientifically. To predict the car sharing demand accurately, we...
Automatic lane detection is known to facilitate the real-time traffic planning and identify traffic congestion. In this paper, we develop a visual surveillance trajectory clustering (VSTC) framework for automatic lane detection. Given a surveillance video, trajectories of vehicles are extracted at first. These trajectories contain behavior of vehicles on different lanes and are clustered by VSTC to...
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