Abstract
Nowadays, urban environments suffer from recurrent traffic jam with associated side effects. One reason of this is the social implicit priority given to personal cars, which are preferred to public transportation systems the main drawback of which is the time and path rigidity. Recently, some alternative transportation systems have been developed based on size adaptable trains of vehicles called platoon. These approaches still suffer from rigid path planning. The paper presents one possible solution to overcome this drawback. The proposal is based on the use of existing crossroads as hubs able to reconfigure vehicles train while crossing. Thanks to this solution, each train component could have its specific path in the public transportation grid. This paper presents also a comparative study of exposed algorithms relatively to a classical traffic light schedule.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Martinet, P., Thuilot, B., Bom, J.: Autonomous Navigation and Platooning using a Sensory Memory. In: International IEEE Conference on Intelligent Robots and Systems, IROS 2006, Beijing, China (0ctober 2006)
Woo, M.J., Choi, J.W.: A relative navigation system for vehicle platooning In: SICE 2001, Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603), pp. 28–31 (2001)
Fritz, H.: Longitudinal and lateral control of heavy duty trucks for automated vehicle following in mixed traffic: Experimental results from the CHAUFFEUR project. In: Proceedings IEEE Conference on Control Applications, vol. 2, pp. 1348–1352 (1999)
Ioannou, P., Xu, Z.: Throttle and brake control systems for automatic vehicle following. IVHS Journal 1(4), 345 (1994)
Moskwa, J.J., Hedrick, J.K.: Nonlinear algorithms for automotive engine control. IEEE Control Systems Magazine 10(3), 88–93 (1990)
Daviet, P., Parent, M.: Longitudinal and lateral servoing of vehicles in a platoon. In: Proceedings of IEEE Intelligent Vehicles Symposium, pp. 41–46 (1996)
Sheikholeslam, S., Desoer, C.A.: Longitudinal control of a platoon of vehicles with no communication of lead vehicle information: A system level study. IEEE Transactions on Vehicular Technology 42, 546–554 (1993)
Hyeongcheol, L., Tomizuka, M.: Adaptive vehicle traction force control for intelligent vehicle highway systems (IVHSs). IEEE Transactions on Industrial Electronics 50(1), 37–47 (2003)
Kehtarnavaz, N., Griswold, N.C., Lee, J.S.: Visual control of an autonomous vehicle (BART)The vehicle-following problem. IEEE Transactions on Vehicular Technology 40(3), 40, 654–662 (1991)
Gehrig, S.K., Stein, F.J.: Elastic bands to enhance vehicle following. In: Proceedings of IEEE Conference on Intelligent Transportation Systems, ITSC, pp. 597–602 (2001)
Yi, S.-Y., Chong, K.-T.: Impedance control for a vehicle platoon system. Mechatronics (UK) 15(5), 627–638 (2005)
Contet, J.-M., Gechter, F., Gruer, P., Koukam, A.: Reactive Multi-agent approach to local platoon control: stability analysis and experimentations. International Journal of Intelligent Systems Technologies and Application (2010)
Gechter, F., Contet, J.-M., Gruer, P., Koukam, A.: Car driving assistance using organization measurement of reactive multi-agent system. Procedia CS 1(1), 317–325 (2010)
Lamotte, O., Galland, S., Contet, J.-M., Gechter, F.: Submicroscopic and Physics Simulation of Autonomous and Intelligent Vehicles in Virtual Reality. In: The Second International Conference on Advances in System Simulation (SIMUL 2010), Nice, France, August 22-27 (2010)
Miller, A.J.: A computer control system for traffic networks. In: Proc. 2nd Int. Symp. Traffic Theory, pp. 200–220 (1963)
Ma, W., Yang, X.: A passive transit signal priority approach for bus rapid transit system. In: IEEE Intelligent Transportation Systems Conference, Seattle, WA, USA, vol. (413) (2007)
Papageorgiou, M., Diakaki, C., Dinopoulou, V., Kotsialos, A., Wang, Y.: Review of Road Traffic Control Strategies. Proceedings of the IEEE 91(12), 2043–(2067)
Vincent, R.A., Young, C.P.: Self-optimizing traffic signal control using microprocessor: The TRRL MOVA strategy for isolated intersections. Traffic Eng. Control 27, 385–387 (1986)
Pitu, B.M., Ning, Z.: Queuing Models for Analysis of Traffic adaptive Signal Control. Transaction on Intelligent Transportation System 8(1), 50–59 (2008)
Griinewald, M., Rust, C., Witkowski, U.: Using mini robots for prototyping intersection management of vehicles. In: Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, pp. 288–294 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dafflon, B., Gechter, F., Contet, JM., Abbas-Turki, A., Gruer, P. (2011). Intelligent Crossroads for Vehicle Platoons Reconfiguration. In: Bouchachia, A. (eds) Adaptive and Intelligent Systems. ICAIS 2011. Lecture Notes in Computer Science(), vol 6943. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23857-4_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-23857-4_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23856-7
Online ISBN: 978-3-642-23857-4
eBook Packages: Computer ScienceComputer Science (R0)