TY - GEN
T1 - Optimal virtual traffic light placement
AU - Avin, Chen
AU - Borokhovich, Michael
AU - Haddad, Yoram
AU - Lotker, Zvi
PY - 2012
Y1 - 2012
N2 - Traffic jams remain a challenging open problem inside and in vicinity of big cities around the world. This leads to a loss of "precious"working time during rush hours, and to the waste of huge amount of fuel which is also undesirable in terms of carbon emission. In this context, traffic light constitutes the bottleneck of the traffic flow system. In addition, disregard of traffic light is the major cause of road accidents. In this paper, we propose a novel traffic light system in which the traffic light scheduling and location are broadcasted, using wireless technology, to each (automated) vehicle. Using a virtual or additional physical traffic light, in conjunction with the original physical traffic light, we develop a scheme which increases the capacity of the intersection. The increased performance of the proposed scheme is illustrated analytically and with simulations. We show in both cases an increase of 5 to 20% in the fraction of undelayed vehicles, depending on the scenario, and a decrease of up to 50% in the average waiting time. Moreover, our scheme makes the traffic light system much more safe by eliminating the immediate danger in crossing the "red" traffic light.
AB - Traffic jams remain a challenging open problem inside and in vicinity of big cities around the world. This leads to a loss of "precious"working time during rush hours, and to the waste of huge amount of fuel which is also undesirable in terms of carbon emission. In this context, traffic light constitutes the bottleneck of the traffic flow system. In addition, disregard of traffic light is the major cause of road accidents. In this paper, we propose a novel traffic light system in which the traffic light scheduling and location are broadcasted, using wireless technology, to each (automated) vehicle. Using a virtual or additional physical traffic light, in conjunction with the original physical traffic light, we develop a scheme which increases the capacity of the intersection. The increased performance of the proposed scheme is illustrated analytically and with simulations. We show in both cases an increase of 5 to 20% in the fraction of undelayed vehicles, depending on the scenario, and a decrease of up to 50% in the average waiting time. Moreover, our scheme makes the traffic light system much more safe by eliminating the immediate danger in crossing the "red" traffic light.
UR - http://www.scopus.com/inward/record.url?scp=84865003903&partnerID=8YFLogxK
U2 - 10.1145/2335470.2335476
DO - 10.1145/2335470.2335476
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:84865003903
SN - 9781450315371
T3 - Proceedings of the 8th ACM SIGACT/SIGMOBILE International Workshop on Foundations of Mobile Computing, FOMC'12
BT - Proceedings of the 8th ACM SIGACT/SIGMOBILE International Workshop on Foundations of Mobile Computing, FOMC'12
T2 - 8th ACM SIGACT/SIGMOBILE International Workshop on Foundations of Mobile Computing, FOMC'12
Y2 - 19 July 2012 through 19 July 2012
ER -