Proactive Monitoring of Moving Objects (original) (raw)
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Real-Time Monitoring of Moving Objects Using Frequently Used Routes
Lecture Notes in Computer Science, 2011
Recently, real-time monitoring of moving objects (MOs), such as cars and humans, has attracted interest. In these systems, tracking trajectories and positions of MOs accurately and for the least communication cost is an important goal. To achieve this, MO position prediction is important. Some studies have proposed real-time monitoring systems that share route information between MOs and a server to predict MO position; however, these systems target public transportation, such as buses, for which the route is always fixed. To the best of the authors' knowledge, a real-time monitoring method for sharing route information between passenger cars and a central server does not exist. This paper proposes such a method using the sharing of frequently used routes (FUR) data between each MO and the server. The server and the MO predict near-future position of MO on the basis of the FUR information using a common algorithm. When the position of the MO deviates from the prediction, it sends a message to the server to maintain position synchronization. This paper evaluates the proposed method using real trajectories of cars and shows that the proposed method outperforms the conventional method, that is, dead-reckoning on a road network.
Real-time traffic updates in moving objects databases
Proceedings. 13th International Workshop on Database and Expert Systems Applications, 2002
Objects Databases (MOD) using real-time traffice information. The motion of the object is represented by a trajectory, which can be constructed using the available electronic maps and the information about traffic patterns. However, the statistical information about traffic patterns may change due to accidents, extreme weather conditions, road work, etc... In this work, we present a model for updating the trajectories of moving objects when unexpected traffic conditions occur.
Monitoring and Tracking Moving Objects in Mobile Environments
Encyclopedia of Mobile Computing and Commerce
Monitoring and tracking LBS applications require data-base and application support to model and manage moving objects in both database and application domains. Such services must also provide efficient processing of continuous queries over moving objects. In contrast to regular queries that are evaluated only once, a continuous query remains active over a period of time.
A Dynamic Data Driven Application System for Vehicle Tracking
Procedia Computer Science, 2014
Tracking the movement of vehicles in urban environments using fixed position sensors, mobile sensors, and crowd-sourced data is a challenging but important problem in applications such as law enforcement and defense. A dynamic data driven application system (DDDAS) is described to track a vehicle's movements by repeatedly identifying the vehicle under investigation from live image and video data, predicting probable future locations, and repositioning sensors or retargeting requests for information in order to reacquire the vehicle. An overview of the envisioned system is described that includes image processing algorithms to detect and recapture the vehicle from live image data, a computational framework to predict probable vehicle locations at future points in time, and a power aware data distribution management system to disseminate data and requests for information over ad hoc wireless communication networks. A testbed under development in the midtown area of Atlanta, Georgia in the United States is briefly described.
Vitruvius: An expert system for vehicle sensor tracking and managing application generation
Journal of Network and Computer Applications, 2014
Internet of Things promotes the use of physical intelligent connecting objects to automatize processes and tasks in multiple areas of society. There are numerous intelligent objects with different sensors and communication mechanisms. Today, road vehicles contain many advanced sensors that allow the collection of great amounts of parameters. With an appropriate communication mechanism, vehicles can be converted to intelligent objects capable of forming very useful systems such as road security, vehicle maintenance, urban mobility, traffic congestion, fleet management, CO 2 emissions, etc. The problem is that the implementation of a system is not quick or easy. Many subsystems and heterogeneous elements intervene. The lack of speed in the development can be a big inconvenient, especially when the environment is as dynamic as traffic, subject to many variables. Currently, there are several platforms that integrate intelligent objects and the generation of applications, but none of them are focused on road vehicles. In this paper we present Vitruvius, a platform where users with no programming knowledge can design and quickly implement rich web applications based on the data consumption in real time from interconnected vehicles and sensors.
Proceedings of the 6th International Conference on Software and Database Technologies, 2011
This paper describes an ICT solution for real-time tracking and fleet management which can be applied in distribution of industrial equipments, in order to improve the traceability of such goods. The solution includes a support system for the driver that is capable of reporting the route that has to be followed and notifying incidences that occur during the trip, resolving them as soon as possible. A first prototype has been developed and its functionality validated through a simple test case. In addition, future actions to improve the system are shown.
A Spatio-temporal Surveillance Approach for Business Activity Monitoring
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2013
The SECAIR project provides an event-driven architecture for dealing with spatio-temporal requirements. It adopts a multi-sensor data fusion process to handle with event streams emitting continuously location based data regarding a vast number of different business objects. It is therefore well-suited for business activity monitoring, supporting managers at analysing and processing complex event streams in real-time. A prototype applied to the surveillance of situation awareness requirements for airport environments is presented, in particular to monitor ground movements in very congested areas for indoor and outdoor areas. Outputs are presented using an advanced Graphical-User Interface, addressing a collaborative environment for airport stakeholders to manage ground handling operational procedures more efficiently and in compliance with airport business rules.
Decision Support For Intelligent Traffic And Environment Management
ITS is fundamental to safe, efficient, control and management of people, vehicles and transport systems and plays an important role in addressing environmental impacts. Recent advances in intelligent pervasive technologies provide a wealth of static and dynamic data which complement legacy ITS systems. There is significant value-added in the integration of existing and emerging technologies especially if achieved across jurisdictional boundaries. However, there are considerable challenges to realise the rewards of integration particularly in real-time. This paper offers an e-science solution providing insight into the delivery of a real-time data management platform for both monitored and modelled sources.