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Project

#159 V2V for Safe Intersections


Principal Investigator
Ozan Tonguz
Status
Completed
Start Date
Feb. 1, 2012
End Date
Dec. 31, 2013
Research Type
Advanced
Grant Type
Research
Grant Program
MAP-21 TSET - Tier 1 (2012 - 2016)
Grant Cycle
2012 TSET UTC
Visibility
Public

Abstract

Increasing the use of information technology (IT) in future vehicles can solve or mitigate many of the fundamental problems we face today in transportation such as energy efficiency, reduced carbon footprint for cars, greener environment, and several others. Specifically, the focus of the proposed work is on making vehicles more intelligent for increasing safety at intersections, mitigating congestion, reducing the commute time of urban workers, increasing productivity of the USA (as well as other countries), increasing the energy efficiency of cars, reducing the carbon footprint of cars, and supporting a greener environment. 

In particular, we propose a new technology which migrate infrastructure-based traffic lights to in car traffic lights, as shown in Figure 2. Using the emerging vehicle-to-vehicle (V2V) communications capability of modern cars through the DSRC standard at 5.9 GHz, it has been shown that this technology can make traffic control ubiquitous at every intersection in urban areas. Through V2V communications, the vehicles at different legs (or approaches) of an intersection can elect a leader which can manage the traffic flow at that intersection, thus acting as a “Virtual Traffic Light”. The results of our investigation in the last three years have shown that this technology can reduce the commute time of urban workers between 40-60% during rush hours which seems pretty significant in terms of reducing accidents at intersections, mitigating congestion, increasing productivity, reducing carbon footprint of cars, increasing the energy-efficiency of transportation, and supporting a greener environment.    
Description
-    
Timeline
February 2012 - December 2013    
Deployment Plan
http://utc.ices.cmu.edu/utc/Tonguz%20project%20description.pdf 
    
Expected Accomplishments and Metrics
Year 1: (a) Quantify the impact of RF obstructions and communications problems at
intersections on the proposed VTL scheme and propose solutions to these problems;
(b) Develop new algorithms and technologies that will take into account the presence of
pedestrians and cyclists at intersections;
(c) Quantify the severity of the “partial penetration” problem and generate practical solutions
(hardware and software platforms) for addressing the problem.
Year 2: (a) Develop a large-scale simulator using open-source simulators (such as SUMO,
OMNET++, VEINS, ns-2, ns-3, etc.) which will comprise a mobility simulator integrated with a
network simulator and assess the performance of the developed solutions;
(b) Experimental verification of the developed technology and solutions through test beds that
are currently up and running.    

Individuals Involved

Email Name Affiliation Role Position
tonguz@ece.cmu.edu Tonguz, Ozan ECE PI Faculty - Tenured

Budget

Amount of UTC Funds Awarded
$160659.65
Total Project Budget (from all funding sources)
$160659.65

Documents

Type Name Uploaded
Final Report vehicle_to_vehicle_for_safe_intersections.pdf April 2, 2018, 4:41 a.m.
Publication Harnessing vehicular broadcast communications: Dsrc-actuated traffic control April 19, 2021, 7:47 a.m.
Publication A self-organizing network approach to priority management at intersections April 19, 2021, 7:49 a.m.
Publication Red light, green light—no light: Tomorrow's communicative cars could take turns at intersections April 19, 2021, 7:50 a.m.

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