att_abstract={{Advanced Driving Assistance Systems (ADAS) for improving vehicular safety are increasingly network based, with approaches that use vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communication. Most current proposals for V2V and V2I use DSRC and a dedicated infrastructure of road side units (RSUs) for the V2I scenarios. Here, the technical feasibility of an alternative architecture is explored, one that uses a combination of LTE cellular networks and servers near the edge of the LTE network. Compared with approaches based on DSRC and RSUs, this architecture exploits an infrastructure that is already largely deployed, but requires that technical challenges related to latency and scalability be addressed. This paper outlines an architecture that addresses these challenges and shows experimental results that demonstrate its effectiveness for vehicular safety applications. The approach combines resources near the network edge with broadcast-based data distribution to provide data freshness guarantees comparable to what can be achieved with DSRC for many applications. Experiments from the deployed LTE network and NS-3 simulations demonstrate that this approach is feasible, and show the benefits and limitations of the architecture.}},
	att_authors={mh7921, kj2681, rs2497},
	att_categories={C_BB.4, C_BB.2, C_BB.5, C_NSS.4, C_NSS.7},
	att_copyright_notice={{This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in 2013. {{, 2013-12-04}}
	att_tags={cloud computing, connected car, vehicular safety, M2M, LTE, DSRC},
	author={Seiya Kato and Matti Hiltunen and Kaustubh Joshi and Richard Schlichting},
	institution={{ICCVE: International Conference on Connected Vehicles }},
	title={{Enabling Vehicular Safety Applications over LTE Networks}},