Traffic as a Complex System: Four Challenges for Computer Science and Engineering

  • Ana L. C. Bazzan UFRGS

Resumo


The increasing demand for mobility in our society poses challenges not only to traffic engineers and urban planning experts, but also to computer scientists, control engineers, and other researchers involved with information technology. There is no turnkey solution for the problem of traffic congestion in metropolitan areas, but several new tools and technologies are being developed to address the following challenges in traffic engineering: modeling and simulation of traffic systems; providing information to the users via travelers’ information systems; management of the system; and automation (of vehicles, highways, and intersections). These challenges are outlined here with the aim of proposing new research directions to computer scientists and electronic and computer engineers interested in the field of intelligent transportation systems.

Referências

Adler, J. L. and Blue, V. J. (1998). Toward the design of intelligent traveller information systems. Transportation Research Part C, 6:157–172.

Arnott, R., de Palma, A., and Lindsey, R. (1990). Departure time and route choice for the morning commute. Transportation Research B, 24:209–228.

Balmer, M., Cetin, N., Nagel, K., and Raney, B. (2004). Towards truly agent–based traffic and mobility simulations. In Jennings, N., Sierra, C., Sonenberg, L., and Tambe, M., editors, Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multi Agent Systems, AAMAS, volume 1, pages 60–67, New York, USA. New York, IEEE Computer Society.

Barfield, W. and Dingus, T. (1998). Human Factors in Intelligent Transportation Systems. Lawrence Erlbaum Associates Inc., Mahwah, New Jersey.

Bazzan, A. L. C. and Junges, R. (2006). Congestion tolls as utility alignment between agent and system optimum. In Stone, P. and Weiss, G., editors, Proceedings of the Fifth Int. Joint Conference on Autonomous Agents and Multiagent Systems, pages 126–128. ACM Press.

Bazzan, A. L. C. and Klügl, F. (2005). Case studies on the Braess paradox: simulating route recommendation and learning in abstract and microscopic models. Transportation Research C, 13(4):299—319.

Bazzan, A. L. C. and Klügl, F. (2007). Sistemas inteligentes de transporte e tráfego: uma abordagem de tecnologia da informação. In Kowaltowski, T. and Breitman, K. K., editors, Anais das Jornadas de Atualização em Informática, chapter 8. SBC.

Bazzan, A. L. C., Wahle, J., and Klügl, F. (1999). Agents in traffic modelling - from reactive to social behavior. In Advances in Artificial Intelligence, number 1701 in Lecture Notes in Artificial Intelligence, pages 303–306, Berlin/Heidelberg. Springer. Also appeared as Proc. of the U.K. Special Interest Group on Multi-Agent Systems (UKMAS), Bristol, UK.

Ben-Akiva, M., de Palma, A., and Kaysi, I. (1991). Dynamic network models and driver information systems. Transp. Res. A, 25(5):251–266.

Bonsall, P. W. (1992). The influence of route guidance advice on route choice in urban networks. Transportation, 19(1).

Burmeister, B., Doormann, J., and Matylis, G. (1997). Agent–oriented traffic simulation. Transactions Society for Computer Simulation, 14:79–86.

de Morais, L. L., Filho, A. E. S., and Geyer, C. F. R. (2004). CONTRAM: Middleware para interoperabilidade de redes heterogêneas de controladores semafóricos em sistemas de transporte inteligentes. In Solar, M., Fernández-Baca, D., and Cuadros-Vargas, E., editors, Anais da Trigésima Conferência Latino-Americana de Informática (CLEI), pages 566–575. Sociedad Peruana de Computación. ISBN 9972-9876-2-0.

Diakaki, C., Papageorgiou, M., and Aboudolas, K. (2002). A multivariable regulator approach to traffic–responsive network–wide signal control. Control Engineering Practice, 10(2):183–195.

Dresner, K. and Stone, P. (2004). Multiagent traffic management: A reservation–based intersection control mechanism. In Jennings, N., Sierra, C., Sonenberg, L., and Tambe, M., editors, The Third International Joint Conference on Autonomous Agents and Multiagent Systems, pages 530–537, New York, USA. New York, IEEE Computer Society.

Dresner, K. and Stone, P. (2007). Sharing the road: Autonomous vehicles meet human drivers. In The 20th International Joint Conference on Artificial Intelligence, pages 1263–68.

Elhadouaj, S., Drogoul, A., and Espié, S. (2000). How to combine reactivity and anticipation: the case of conflicts resolution in a simulated road traffic. In Proceedings of the Multiagent Based Simulation (MABS), pages 82 – 96. Springer–Verlag New York.

Hallé, S. and Chaib-Draa, B. (2005). A collaborative driving system based on multiagent modelling and simulations. Transportation Research C, 13(4):320–345.

Hunt, P. B., Robertson, D. I., Bretherton, R. D., and Winton, R. I. (1981). SCOOT - a traffic responsive method of coordinating signals. TRRL Lab. Report 1014, Transport and Road Research Laboratory, Berkshire.

Ioannou, P. and Bose, A. (2003). Automated vehicle control. In Hall, R. W., editor, Handbook of Transportation Science, chapter 7. Kluwer Academic Pub.

Klügl, F. and Bazzan, A. L. C. (2004). Route decision behaviour in a commuting scenario. Journal of Artificial Societies and Social Simulation, 7(1).

Kobayashi, K. and Do, M. (2005). The informational impacts of congestion tolls upon route traffic demands. Transportation Research A, 39(7–9):651–670.

Lowrie, P. (1982). The Sydney coordinate adaptive traffic system – principles, methodology, algorithms. In Proceedings of the International Conference on Road Traffic Signalling, Sydney, Australia.

TRANSYT-7F (1988). TRANSYT-7F User’s Manual. Transportation Research Center, University of Florida.

Wahle, J., Bazzan, A. L. C., and Kluegl, F. (2002). The impact of real time information in a two route scenario using agent based simulation. Transportation Research Part C: Emerging Technologies, 10(5–6):73–91.

Wardrop, J. G. (1952). Some theoretical aspects of road traffic research. In Proceedings of the Institute of Civil Engineers, volume 2, pages 325–378.
Publicado
30/06/2007
BAZZAN, Ana L. C.. Traffic as a Complex System: Four Challenges for Computer Science and Engineering. In: SEMINÁRIO INTEGRADO DE SOFTWARE E HARDWARE (SEMISH), 34. , 2007, Rio de Janeiro/RJ. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2007 . p. 2128-2142. ISSN 2595-6205.