V2I advisory speed limit systems that smooth traffic flow on urban arterials can reduce wait time in stop-and-go traffic by 15 percent.

Modeling the impacts of V2I intelligent speed control applications operating on DSRC versus cellular networks.

Date Posted
06/27/2017
Identifier
2017-B01150
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Mobility and environment improvement of signalized networks through Vehicle-to-Infrastructure (V2I) communications

Summary Information

This paper presented a study of advisory speed limit (ASL) green driving strategies in signalized intersections using car-following models and simulated traffic scenarios across a range of market penetration rates. The system was designed to advise travel speeds to connected vehicles based on traffic signal timing settings and traffic information obtained from V2I communications.



METHODOLOGY



The ASL control algorithm objective function used to calculate recommended travel speeds was designed to smooth vehicle trajectories in stop-and-go traffic while taking into account variables such as market penetration rates, traffic congestion levels, V2I communication modes (DSRC or Cellular), GPS location accuracy, car-following behavior (Gipps model) and the network structure.

FINDINGS



Benefits were greater if V2I communications were carried out over cellular networks instead of DSRC. This observation suggested that the longer communication ranges of cellular networks were more important for this application than the shorter communication delays of DSRC.



Cellular networks

 

Market Penetration

25.0%

50.0%

75.0%

100.0%

Waiting time

-5.1%

-8.1%

-10.2%

-14.6%

 



DSRC networks

 

 

 

Market Penetration

25.0%

50.0%

75.0%

100.0%

Waiting time

0.0%

-4.8%

-9.4%

-10.8%

 

 

Goal Areas
Deployment Locations