Abstract
In this paper we describe our research on an agent-based intelligent, flexible, and context-aware multi-modal traveler information system, SCATEAgent1. The work targets the representation and manipulation of core user, preferences, 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.
Keywords
- Intelligent Transportation System
- Advance Traveler Information System
- Route Guidance System
- Agent Toolkit
- Traffic Agent
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Adler, J. & Blue, V., Toward the design of Intelligent Traveler Information Systems, cooperative multi-agent transportation management and route guidance system, Transportation Research, 6C(3), June 1998, 157–172.
Adler, J. & Blue, V., A cooperative multiagent transportation management and route guidance system, Transportation Research, 10C(5–6), Oct–Dec 2002, 433–454.
Andersson, L. & Rnnbom, A., Intelligent Agents — A New Technology for Future Distributed Sensor System Informatics 1999. http://citeseer.nj.nec.com/andersson99intelligent.html
Appiani, E., Martelli, Maurizio, and Mascardi, Viviana, A Multi-Agent Approach to Vehicle Monitoring in Motorway, Technical Report DISI TR-00-13, 2000,. http://www.disi.unige.it/research/Logic_programming/agent_pubs.html
Bauer, B. Müller, P., Odell, J. Agent UML: A Formalism for Specifying Multi-agent Interaction in Agent-Oriented Software Engineering, Paolo Ciancarini and Michael Wooldridge eds., Springer, Berlin, 2001, 91–103
Blechschmitt, E & Strodecke, C., An architecture to provide adaptive, synchronized and multimodal human computer interaction, Proceedings of the Tenth ACM International Conference on Multimedia, Juan-les-Pins, France, December, 2002
http://www.blueJADE.net/public_resources/director/
B. Burmeister, A. Haddadi, and G. Matylis. Application of multi-agent systems in traffic and transportation. In IEE Proceedings of Software Engineering 97, 51–60.
Facts about cellphone. http://www.insweb.com/learningcenter/special-reports/cellphones/facts.htm
Chen, Q., Hsu, M., Dayal, U., Griss, M.: Multi-Agent Cooperation, Dynamic Workflow and XML for E-Commerce Automation, Autonomous Agents 2000, Barcelona, June (2000), 255–256.
CityTraffic — An integrated system for traffic planning, management and information in high-density urban areas http://www.citytraffic.de/ct_eng.html See also http://www.ercim.org/publication/Ercim_News/enw46/muehlen.html
CoolTown — HP Laboratories-developed, open source technology for context-aware web-based applications. http://www.cooltown.hp.com/cooltownhome/index.asp
Cowan, D. and Griss, M., Making Software Agent Technology Available to Enterprise Applications, 1st International Workshop on “Challenges in Open Agent Systems”, AAMAS’02, Bologna, Italy, July 2002
Das, S., Bowles, BA. Houghland, CR., Hunn, SJ., Zhang, Y. A knowledge based model of traffic behavior in freeways, Proceedings of the 1999 ACM Symposium on Applied Computing, San Antonio, Texas, United States, 1999, 14–18
Erol, K., Levy, R., & Wentworth, J., Application of Agent Technology to Traffic Simulation, Federal Highway Adminstration, http://www.tfhrc.gov/advanc/agent.htm
Fernandes, JM. & Oliveira, E., TraMas: Traffic Control through Behaviour-based Multi-Agent System, Proceedings of the Fourth International Conference on The Practical Application of Intelligent Agents and Multi-Agent Technology (PAAM99), London, April 1999. 457–458, See http://www.ieeta.pt/jfernan/tramas/
http://www.freeway2000.com/
Goni, A., A. Illarramendi, A., E. Mena, E., Y. Villate, Y., & J. Rodriguez, J. Antarctica: A multi-agent system for internet data services in a wireless computing framework. In NSF Workshop on an Infrastructure for Mobile and Wireless Systems Scottsdale, Arizona USA, October 2001.
Grimnes, G. A. A., Charlmers, S., Edwards, P., Preece, A., GraniteNights — A Multi-Agent Visit Scheduler Utilizing Semantic Web Technology, http://www.csd.abdn.ac.uk/-ggrimnes/pubs/GraniteNights.pdf
Griss, M. and Kessler, RR., Achieving the Promise of Reuse with Agent Components. First International Workshop on Software Engineering for Large-Scale Multi-Agent Systems, ICSE, May 2002, 1–9.
Griss, M., My Agent Will Call Your Agent, But Will It Respond, Software Development Magazine, Feb, 2000.
Griss, M., Letsinger, R., Cowan, D. Sayers, C., VanHilst, M., Kessler, R., CoolAgent: Intelligent Digital Assistants for Mobile Professionals — Phase 1 Retrospecitve. HP Laboratories technical report HPL-2002-55(R), July 2002.
Griss, M., Fonseca, S., Cowan, D., and Kessler, R., Using UML State Machines Models for More Precise and Flexible JADE Agent Behaviors, AAMAS AOSE workshop, Bologna, Italy, July 2002.
Guinchiglia, F., Myopoulos, J. and Perini, A., The Tropos Software Development Methodology: Process, Models and Diagrams. Agent-Oriented Software Engineering III, Bologna, Springer LNCS 2585. July 2002, 162–173.
Hidas, P., Vehicle Interactions by Intelligent Agents, University of New South Wales, June 2002. See http://www.civeng.unsw.edu.au/staff/hidas.p/sitras.htm
Intelligent Automation, Inc., agent-based traffic simulator using OpenCybele and AASIM http://www.i-a-i.com
Iteris offers real time maps, has a concept of Personalized Traveler Information, is one of two companies selected to develop a national ITS architecture. http://www.iteris.com/.
Bellifemine, F., Poggi, A., Rimassi, G.: JADE: A FIPA-Compliant agent framework, Proc. Practical Applications of Intelligent Agents and Multi-Agents, April (1999), 97–108
Jess™ A forward and backward chaining rule system, written in JAVA. http://herzberg.ca.sandia.gov/jess/
Jini Network technology — http://wwws.sun.com/software/jini/
van Katwijk, R., and van Konigbruggen, P., Coordination of traffic management instruments using agent technology, Transportation Research Part C 10 (2002), Elsevier, 455–471
Kendall, EA. Role Model Designs and Implementations with Aspect-oriented Programming, in Proc. of OOPSLA 99, Oct, Denver, Co., ACM SIGPLAN, 353–369.
Kindberg, T., et al., People, Places, Things: Web Presence for the Real World, HP Labs tech report, HPL-2001-279, 2001,. In proceedings WMCSA2000. ACM MONET (Mobile Networks & Applications) Vol. 7, No. 5 (October 2002).
Lapin, J., Advanced Traveller Information Service(ATiS): Who are ATIS customers, US DOT, Jan 2000, #12885
Lapin, J., Advanced Traveller Information Service(ATiS): What do ATIS Customers Want, US DOT, Jan 2000, #12884
MobilityTechnologies owns http://www.traffic.com — provide real-time traffic information via TrafficPulse, digital sensors, real-time updates on web, email.
Nextbus — GPS enabled busses in San Francisco http://www.nextbus.com
US Department of Transport, National ITS Architecture, http://www.its.dot.gov/arch/arch.htm
Odell, J., Van Dyke Parunak, H., Bauer, B. Representing Agent Interaction Protocols in UML, in Agent-Oriented Software Engineering, Paolo Ciancarini and Michael Wooldridge eds., Springer, Berlin, 2001, 121–140
Freeway Performance Measurement Project Web Site, funded by PATH — http://pems.eecs.berkeley.edu/login.phtml
Roozemond, D.A., Intelligent traffic management and urban traffic control based on autonomous objects; in Proceedings of the sixth Artificial intelligence, simulation, and planning in high autonomy systems international conference), IEEE, 1996. (ftp://cci.ct.tudelft.nl/DR_AISP.pdf)
Rosen, DA., Mammano, FJ., & Favort, R. An Electronic Route Guidance System for Highway Vehicles, IEEE Transactions on Vehicular Technology, VT-19, 1970.
A personalized alerts service can relay important traffic information to you on your cellphone, pager (and any device that can receive email) when you are on the road, or about to get on it, using a profile. http://www.sfbaytraffic.com
Shoham, Y., Agent-Oriented Programming, Artificial Intelligence, Vol. 60, No. 1, 1993, 139–159
Sutton, SS. And Osterweil, LJ., The design of a next generation process programming language, Proceedings of ESAC-6 and FSE-5, Springer Verlag, 1997.
TelContar http://www.telcontar.com/ is a traffic manager product, written in Java, uses Teleatlas SmartRoute and TrafficCast.
A Nextel service that uses GPS enabled cell-phones to provide-turn-by-turn navigation information in a cell-phone. Is voice enabled, does automatic reroute updates http://www.telenav.net/telenavnextel
Astartup that provides a MapQuest like interface, over TeleAtlas data, with some incident, event and time travel annotations. http://www.trafficdodger.com/. Will annotate best route, give estimated travel time, etc.
VanHilst, M. & Griss, M. Goal-Directed Design for Proactive and Intelligent Device Collaboration., KES 2003: 841–848.
Motorola’s location-ware and traffic services. http://www.motorola.com/mobileintern??et/
Ward, A., Terman, C., Saif, U., Goal Oriented System Semantics, March 2002 http://cag.www.lcs.mit.edu/-umar/publications/Goals_abstract.pdf
Westwood One (Metro Networks, SmartRoute). SmartRoute Systems provides the very latest in local traffic, news, sports and weather information to wireless, Internet, in-vehicle navigation systems and voice portal customers, in multiple formatshttp://www.metronetworks.com/
Wojcik, LA., Campbell, K.C., Cooper W.W., & Greenbaum, DP, Modeling Distributed Human Decision-Making in Traffic Flow Manageent Operations, Mitre, June 2000. Describes CAASD agent-simulator for advanced air traffic management, in a complex, adaptive environment.
Wooldridge, M., Jennings, NR., and Kinney, D., The Gaia methodology for agent-oriented analysis and design, Autonomous Agents and Multi-Agent Systems 3, Kluwer, 2000, 285–312.
Nwana, H., Nduma, D., Lee, L., Collis, J.: ZEUS: a toolkit for building distributed multiagent systems, in Artificial Intelligence Journal, Vol. 13, No. 1, (1999) 129–186.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Birkhäuser Verlag
About this paper
Cite this paper
Yin, M., Griss, M. (2005). SCATEAgent: Context-Aware Software Agents for Multi-Modal Travel. In: Klügl, F., Bazzan, A., Ossowski, S. (eds) Applications of Agent Technology in Traffic and Transportation. Whitestein Series in Software Agent Technologies. Birkhäuser Basel. https://doi.org/10.1007/3-7643-7363-6_5
Download citation
DOI: https://doi.org/10.1007/3-7643-7363-6_5
Publisher Name: Birkhäuser Basel
Print ISBN: 978-3-7643-7258-3
Online ISBN: 978-3-7643-7363-4
eBook Packages: Computer ScienceComputer Science (R0)