Hugo Conceição
João Barros
ABSTRACT
Providing vehicles with enhanced ability to communicate and exchange real-time data with neighboring vehicles opens up a variety of complex challenges that can only be met by combining different research fronts such as wireless communications, information processing, self-organization protocols and collaborative optimization. The difficulty in performing real tests in this area forces the use of computer simulation. In this paper we introduce an efficient simulation framework for large scale vehicle-to-vehicle (V2V) networks in urban environments. Our main contribution is a sophisticated traffic simulator, which is oriented towards simulating car-to-car communications, and relies on a global positioning server in order to convey location information for micro-simulated vehicles. To illustrate the various studies made possible by our simulation system, we provide a preliminary characterization of how the wireless transmission range in an urban-like environment affects the freshness and inter-vehicle propagation characteristics of real-time mobility information.
- CAR 2 CAR Communication Consortium Manifesto. Version 1.1. http://www.car-2-car.org/, 2007.Google Scholar
- S. Hoogendoorn and P. Bovy. State-of-the-art of vehicular traffic flow modelling. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 215(4):283--303, 2001.Google ScholarCross Ref
- Trans (traffic and network simulation environment). http://trans.epfl.ch/mediawiki/index.php/Main_Page.Google Scholar
- S. Y. W. et al. The design and implementation of the NCTUns 1.0 network simulator. Computer Networks, 42(2):175--197, June 2003. Google ScholarDigital Library
- D. Krajzewicz, M. Hartinger, G. Hertkorn, P. Mieth, J. Ringel, C. Rssel, and P. Wagner. The "simulation of urban mobility" package: An open source traffic simulation. In 2003 European Simulation and Modelling Conference, 2003.Google Scholar
- The network simulator, ns-2. http://www.isi.edu/nsnam/ns/.Google Scholar
- F. Xue and P. Kumar. The Number of Neighbors Needed for Connectivity of Wireless Networks. Wireless Networks, 10(2):169--181, 2004. Google ScholarDigital Library
- G. Newell. Nonlinear Effects in the Dynamics of Car Following. Operations Research, 9(2):209--229, 1961.Google ScholarDigital Library
- D. Vaz, M. Ferreira, and R. Lopes. Spatial-yap: A logic-based geographic information system. In V. Dahl and I. Niemelä, editors, ICLP, volume 4670 of Lecture Notes in Computer Science, pages 195--208. Springer, 2007. Google ScholarDigital Library
- "Vehicle safety communications project-final report". Technical Report HS 810 591, USDOT, http://www-nrd.nhtsa.dot.gov/departments/nrd-12/pubsrev.html, April 2006.Google Scholar
- L. Booth, J. Bruck, M. Franceschetti, and R. Meester. Covering algorithms, continuum percolation and the geometry of wireless networks. Ann. Appl. Probab, 13(2):722--741, 2003.Google ScholarCross Ref
Recommendations
A full-scale simulation model to reproduce urban traffic in real conditions in driving simulators
This paper describes a model capable of simulating large-scale traffic in an urban environment. The goal is of this work is the realistic and detailed simulation of the traffic, reproducing the behavior of each vehicle involved in the environment ...
V2V Communication-based AEB Validation in Traffic Accident Simulation Scenario
ICFEICT 2021: International Conference on Frontiers of Electronics, Information and Computation TechnologiesAutonomous Emergency Braking (AEB) system can effectively avoid traffic accidents and reduce the degree of casualties. However, AEB systems based on traditional sensors will have blind spots and are greatly affected by environmental factors. This paper ...
Large-scale incident-induced congestion: en-route diversions of commercial and non-commercial traffic under connected and automated vehicles
WSC '18: Proceedings of the 2018 Winter Simulation ConferenceWhen large-scale incidents occur on freeways, en-route traffic diversion is one effective strategy to reduce the impact of incident-induced congestion. In corridors with substantial commercial traffic, e.g., trucks, route diversion is complicated ...
Comments