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Recent advances in location-acquisition and mobile sensing technologies have enabled tracking of vehicle movements (i.e., trajectory data). Massive trajectory datasets are processed routinely (often in real-time) to provide support for many new types of IoV (Internet of Vehicles) applications (e.g., traffic congestion management, and load-coordination across electric vehicle charging stations). High-volume,...
While research on time-varying graphs has attracted recent attention, the research community has limited or no access to real datasets to develop effective algorithms and systems. Using noisy and sparse GPS traces from vehicles, we develop a time-varying road network data set where edge weights differ over time. We present our methodology and share this dataset, along with a graph manipulation tool...
Human mobility is known to follow simple reproducible patterns, i.e., humans tend to travel a few known places. Early detection of those “significant journeys” has a prospect for emerging smart applications like real-time traffic route recommendation and automated HVAC (heating, ventilating, and air conditioning) systems. In this paper, we design, implement, and evaluate a mobile system that effectively...
Map-matching is the problem consisting of matching a sequence of geographic coordinates with the roads on a digital map, aiming to discover the actual path traveled by that trajectory. Common uses of map-matching include traffic analysis and flow density extraction, which rely on such algorithms as a primary stage of their processing. Here we present DMM, a distributed solution for large-scale trajectory...
We propose a method for ego-lane estimation that can robustly determine the currently used lane as required by future lane-precise navigation systems. It employs a lane-level map-matching on a digital road map through least-squares optimization and only requires sensors available in current production vehicles, such as GPS, odometry, visual lane-marking detection and radars. Radar data is used in...
With more and more citizens traveling for life or work at night, there is a big gap between the demands and supplies for public transportation service in China. In this paper, we address the problem of night-bus stop planning by investigating the characteristics of taxi GPS trajectories and transactions, rather than leveraging subjective and costly surveys about citizen mobility patterns. There are...
With the development of GPS and the popularity of smart phones and wearable devices, users can easily log their daily trajectories. Prior works have elaborated on mining trajectory patterns from raw trajectories. Trajectory patterns consist of hot regions and the sequential relationships among them, where hot regions refer the spatial regions with a higher density of data points. Note that some hot...
Global Positioning System (GPS) which is a part of the Geographical Information System(GIS) is used for the efficient mapping of the traffic trajectories in the real world scenario.It uses GPS logs of roadways which is useful in the routing applications like Smart Maps. The historical GPS logs which is a collection of numerous GPS points are provided to find the landmark graph. Beyond that the live...
In the last years, smartphones have become the major device for communication enabling Telco operators to capture subscribers' whereabouts. This location information allows computing geostatistics to study transportation systems, traffic jams, origin-destination matrix, etc. The first task to accomplish the aforementioned objectives is to detect routes that people use to go from A to B. Thus, in the...
Smartphones have become ubiquitous and a part of ourselves. Since we carry them everywhere, they are the perfect devices to record our memories: through photos, videos and through lifelogging. One specific form of lifelogging is geographic lifelogging, which consists in recording our own trajectories. Anyone with a GPS enabled device, can effortlessly record their own trajectories. Those recordings,...
Nowadays, the development of Intelligent Transportation System (ITS) is increasing due to its versatility, adaptability and use of clean energy. There are a number of pass and on-going projects worldwide dealing with the different challenges and approaches to solve road transport-related issues. Some of them are dealing with the Cybernetic Transportation Systems (CTS), which is an urban mobility concept...
The efficient generation of renewable energy coming from a solar system depends strongly on the direction at which the sun rays strike the surface of the solar collector. Therefore, the knowledge at any time of the sun position is very important for most solar systems including those doing sun tracking. In several solar devices, the user manually must provide the values of geographical latitude, geographical...
Nowadays, with rapid development of technology, Internet, mobile Internet, Internet of things and sensor network, cyberspace has expanded to a ubiquitous space of human beings, machines and Internet of things. The location of people is one of the most important feature in the Internet of things (IOTs). Therefore, we focus on identifying individuals behaviors based on their GPS trajectories to support...
In this paper, a solution to the problem of Active Authentication using trace histories is addressed. Specifically, the task is to perform user verification on mobile devices using historical location traces of the user as a function of time. Considering the movement of a human as a Markovian motion, a modified Hidden Markov Model (HMM)-based solution is proposed. The proposed method, namely the Marginally...
The recent build-up network of Automatic Identification System (AIS) equipped on vessels provides a rich source of vessel movement information. AIS is originally designed for automatically exchanging navigation information, such as their unique identification, position, course, and speed, with nearby vessels and terrestrial receivers to affect collision avoidance and safety control. The collected...
Influence maximization is one of the most fundamental problems in social network analysis due to its significant impact on viral marketing and targeted advertisements. Considerable amount of works has extensively studied to analyze the influence in social networks, but most of the existing works unfortunately neglected the fact that the location information in the cyber-physical world could also play...
With the development of wireless communications and embedded systems technologies, many smartphones are equipped with a multitude of sensors such as GPS and powerful computational, storage and communication capabilities. By these smartphones, location-based services provide the potentialto understand people's mobility pattern at an unprecedented level. How to discover people's personal mobility patterns...
Effective bus route planning is important for management to solve the traffic problems. In this paper, we analyze the spatiotemporal characteristics of resident trips from real GPS data of taxi in the city of Beijing, China and find that it has significant sub-period and cyclical characteristics. Besides we design Multi-objective Bus Route Plan Model based on ant colony algorithm by considering the...
Based on the analysis of GPS deception jamming theory, this paper considers the control feathers of the UAV GPS/INS integrated navigation system and designs an innovation detection rule for the UAV navigation system state estimation. Methods of direct track deception and track fusion are used to achieve the intrusive control of the navigation system and the control of the UAV's trajectory through...
We consider the challenge of testing lane centering ADAS control systems using a differential global positioning system localization strategy. Rather than constructing test scenarios using lane line markers or driving test vehicles on public roads, we develop a testing framework that can be used in both simulation and on open test surfaces with no lane demarcation. The primary sensor we leverage is...
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