Personal Intelligent Travel Assistant: A distributed approach (original) (raw)

Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems

The ultimate goal of the Intelligent Travel Assistant (ITA) is the fusion and development of a number of technologies into a device that will increase the efficiency of our transportation network through increased use of mass transit and ride sharing. The ITA will include: a) dynamic ridesharing, b) spatio-temporal database management, c) wireless communications, and d) a management framework. The ITA itself is envisioned to be a compact portable device with the capability to plan multi-modal routes for its user. The traveler will enter a desired destination into the ITA and it will formulate several plans to get the user to this destination. The ITA will make use of wireless Internet technology to send and receive traffic information, transit schedules, and arrange for payment of fares. The Global Positioning System (GPS) will be used to track the user's current position for use in route planning and also as a means of assessing traffic conditions while en-route. A spatio-temporal database management system will be used to efficiently track ITA positions in real-time.

Personal Advanced Traveler Assistant

Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, 2011

In spite of numerous road management schemes and developed infrastructure the society nowadays still faces the problem of highly congested roads due to the increasing traffic demand. The focus of this paper is to develop a complex and integrated system that addresses the challenges of dynamic traffic assignment in modern times. We built a design for a Personal Advanced Traveller Assistant (PTA). The main purpose of PTA is to give routing advices depending on the users preferences and the available capacity in the network. The system incorporates a dynamic traffic algorithm that employs a prediction model of future travelling time. The prediction model that the algorithm uses is based on historical data. To conclude, we successfully implemented a working prototype that uses various technologies such as Java, the Open Street Map API for rendering the map or J2ME for the mobile phone client.

A situation-aware mobile traffic information system

2003

With the current evolution of mobile communication and Internet computing mobile services will play an increasing role in future work and private life. Especially enabling mobility in urban and populous areas needs tools for individual traffic planning. In this paper we present a prototype of a traffic information system enabling not only plain route planning, but also advanced services like traffic jam alerting, etc. Using a centralized database architecture our service integrates a location-based service with a situationaware traffic information system. The fast changing nature of traffic data requires that traffic information is gathered from a variety of on-line Internet sources featuring traffic jam, weather, or road work information. Our asynchronous update strategy of the central service database allows to meet realtime requirements though providing up to date information. In the course of this paper we will investigate all necessary capabilities, present the development of our prototypical system, and give a case study on applying our prototype for real world use. Modern XML technology together with appropriate XSLT stylesheets allows the automatic conversion of generic traffic information for the delivery to a variety of mobile devices. In summary we believe that intelligently joining the latest powerful technologies for preference modeling, database-driven evaluation and standard XML technologies today promises a breakthrough for mobile information systems.

A Situation-aware Mobile Traffic Information System (STMDI03)

Provision of Ubiquitous Tourist Information in Public Transport Networks

Sensors, 2012

This paper outlines an information system for tourists using collective public transport based on mobile devices with limited computation and wireless connection capacities. In this system, the mobile device collaborates with the vehicle infrastructure in order to provide the user with multimedia (visual and audio) information about his/her trip. The information delivered, adapted to the user preferences, is synchronized with the passage of vehicles through points of interest along the route, for example: bus stops, tourist sights, public service centres, etc.

An advanced traveler information system with emerging network technologies

2003

Advanced Traveler Information Systems (ATIS) plays an important role in intelligent transportation systems; it assists travelers with pre-trip and en route travel information to improve the convenience, safety and efficiency of travel. In this paper we present a highway ATIS system which provides more decisive and valuable travel information than conventional ATIS systems by integrating it with newly emerging Web service and wireless communication technologies. Following the Web service standards, our system can aggregate multiple travel-related data from different sources and provide value-added services to application developers or users. Through multimedia messaging services or wireless LAN communication, we can support access of the system to mobile travelers with visualized real-time traffic information for pre-trip planning or en route referencing. In order to make our system more reliable and useful, the methods of lost data reconstruction and travel time prediction are also proposed and examined.

Xml-Based Approach to Data Aggregation, Exchange and Dissemination for Intelligent Traffic Information System in Malaysia

2004

The current work-in-progress comprehensive traffic information project called the Integrated Transport Information System for Klang Valley marks the dawn of an exciting era of intelligent dynamic traffic management in Malaysia. The purpose of the project is to provide traffic commuters with accurate, reliable traffic information and user-friendly route guidance. In order to do this, data aggregation needs to be dynamically collected from a wide range of diverse systems and sources. This aggregated information would need to be processed and disseminated to a wide variety of channels, mediums and devices such as mobile phones, maps and Call Centers. Existing data exchange and dissemination approaches would involve Hyper Text Markup Language (HTML) for data presentation on the Internet, tightly coupled data-exchange methodologies like Electronic Data Integration (EDI) and Common Object Request Broker Architecture (CORBA) and proprietary raster-based graphics for map-based data presentation. These proprietary-based methods are neither cost-effective, nor able to effectively support the wide range of channels, multi-parties and platforms envisaged, nor handle the expected growth in data volume and usage. In this thesis, we present an XML-based approach to the distribution and presentation of data for intelligent traffic information systems, and propose using the XMLbased graphics, Scalable Vector Graphics (SVG) to present dynamic map-based traffic data on the Internet. While this thesis is focuses on traffic information, the proposed approach is equally applicable to other domains that require dynamic data exchange and presentation such as bioinformatics systems and travel information systems. This thesis involved the development of a proof-of-concept XML-based application using Apache Cocoon for the data aggregation, exchange and dissemination of map-based dynamic traffic information for the Klang Valley in Malaysia.

A GIS-Based Multimodal Advanced Traveler Information System

Computer-Aided Civil and Infrastructure Engineering, 1999

A conceptual Multimodal Advanced Traveler Information System (MATIS) was developed on a Sun SPARC 10 workstation using the ARC/INFO GIS software platform. The primary components of the MATIS are the databases, the data-processing algorithms, and the user interface. The data-processing algorithms include route planning for private automobile, transit, and ride sharing. These algorithms are executed independently of each other in the present version of the system. The user interface allows the users to enter the input through customized menus that were developed using the ARC/INFO capabilities. The system can accept both subscribers, who have their individual profile in the system containing their travel characteristics for one or more of each subsystems, and nonsubscribers, who can enter at any time into the system and receive travel information from any of the subsystems. Any user can subscribe or unsubscribe to/from the system at any time. The design and the required input/output of MATIS are outlined, and future enhancements of the model are suggested.

SCATEAgent: Context-Aware Software Agents for Multi-Modal Travel

Whitestein Series in Software Agent Technologies, 2005

In this paper we describe our research on an agentbased intelligent, flexible, and context-aware multimodal traveler information system, SCATEAgent. The work targets the representation and manipulation of core user, preference, and context models which facilitate highly-customized and adaptable agents playing key roles in an agent-based Advanced Traveler Information System (ATIS). This ATIS finds and fuses information from multiple sources on routes, congestion, incidents, weather, alternative transit modes and schedules, provides proactive real-time updates and context-specific guidance as the user travels, and is vigilant about impacting events. A highly intelligent, personalized, and user-friendly assistant to the traveler, especially in case of transitions among different travel modes, SCATEAgent will promote effective individual traveling and also help to smooth the transportation load in general. The expected contributions include the design of user, preference, context and travel ontologies; user, context, task models based on these ontologies, a set of representations to drive agent behavior and communication, and a compatible integration of rules, machine learning, information retrieval, and semantic web. Currently, we have completed the first stage of our research, producing first pass ontologies and models, an initial prototype of a small-scale test-bed incorporating GPS-enabled cell-phones, and multiple mechanisms for agents to handle and adapt to such models and travel related events.

Personal Intelligent Travel Assistant: A distributed approach (original) (raw)

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