Abstract
Dealing with the control of autonomous vehicles on urban environments is a highly complex task due to the number of possible scenarios to consider. On this work, we present a virtual vehicle approach for the management of several urban manoeuvres by considering them as an Adaptive Cruise Control (ACC) problem, from the longitudinal point of view. This solution is based on a centralised communication system which manages and analyses all the information incoming from the vehicles and the infrastructure on a limited area. In order to validate the performance of the proposal, an experiment has been carried out at the test track of the AUTOPIA program. On the experiment, several vehicles over an intersection were controlled by the central system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Shladover, S.: Cooperative (rather than autonomous) vehicle-highway automation systems. Intelligent Transportation Systems Magazine 1, 10–19 (2009)
Robinson, T., Chan, E., Coelingh, E.: Operating Platoons On Public Motorways: An Introduction To The SARTRE Platooning Programme. In: 17th World Congress on Intelligent Transport Systems (2010)
Shladover, S.E.: The California PATH Program of IVHS research and its approach to vehicle-highway automation. In: Proceedings of the Intelligent Vehicles 1992 Symposium (1992)
Naranjo, J.E., González, C., García, R., de Pedro, T.: Cooperative Throttle and Brake Fuzzy Control for ACC+Stop&Go Maneuvers. IEEE Transactions on Vehicular Technology 56(4), 1623–1630 (2007)
van Arem, B., van Driel, C.J.G., Visser, R.: The impact of cooperative adaptive cruise control on traffic-flow characteristics. IEEE Transactions on Intelligent Transport Systems 7(4), 429–436 (2006)
Milanés, V., Godoy, J., Villagrá, J., Pérez, J.: Automated On-Ramp Merging System for Congested Traffic Situations. IEEE Trans. on Intelligent Transportation Systems 12(2), 500–508 (2011)
Milanés, V., Onieva, E., Pérez, J., Villagrá, J., Godoy, J., Alonso, J., González, C., de Pedro, T., García, R.: AUTOPIA Program Advances: How to Automate the Traffic? In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds.) EUROCAST 2011, Part II. LNCS, vol. 6928, pp. 374–381. Springer, Heidelberg (2012)
Pérez, J., González, C., Milanés, V., Onieva, E., Godoy, J., de Pedro, T.: Modularity, Adaptability and Evolution in the AUTOPIA architecture for Control of Autonomous Vehicles. In: Proceedings of the IEEE ICM, April 14-17, pp. 1–5 (2009)
Milanés, V., Alonso, J., González, C., Bouraoui, L., Ploeg, J., de Pedro, T.: Cooperative maneuvering in close environments among cycabs and dual-mode cars. IEEE Trans. on Intelligent Transportation Systems 12(1), 15–24 (2011)
Milanés, V.: Sistema de Control de Tráfico para la Coexistencia entre Vehículos Autónomos y Manuales mediante Comunicaciones Inalámbricas. PhD Thesis. Universidad de Alcalá (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Godoy, J., Villagrá, J., de Pedro, T., Galán, R. (2013). Virtual Vehicle Approach for Longitudinal Control in Urban Environments. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2013. EUROCAST 2013. Lecture Notes in Computer Science, vol 8112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53862-9_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-53862-9_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-53861-2
Online ISBN: 978-3-642-53862-9
eBook Packages: Computer ScienceComputer Science (R0)