TY - GEN
T1 - Real life applicative timing algorithm for a smart junction with social priorities and multiple parameters
AU - Barzilai, Orly
AU - Voloch, Nadav
AU - Hasgall, Alon
AU - Steiner, Orna Lavi
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/2/20
Y1 - 2019/2/20
N2 - Smart devices and their connections to the Internet of Things (IoT) have been the subject of many papers in the past decade. One of the transportation subjects of IoT is a smart junction. This research deals with the case of this junction, where several cars approach the intersection from various directions, and a smart traffic light must decide about the time intervals of RED and GREEN in each direction, with our novel approach that is based not only on the number of vehicles in each lane, but also on other factors such as the type of vehicles (e.g. emergency vehicles), and the social characteristics of the passengers (e.g. a handicapped person, a student who is late for an exam). Those factors will be gleaned from the IoT network amongst cars, traffic lights, individuals, municipality data, and more. Once those priorities have been examined, they are fed into the algorithm we have devised, and outputted as a timing schedule for the different sides of the intersection, taking also into consideration the cars physical attributes such as length and speed. In this paper we present the algorithm, the prioritizing research, its implementation in the algorithm and our experimental results.
AB - Smart devices and their connections to the Internet of Things (IoT) have been the subject of many papers in the past decade. One of the transportation subjects of IoT is a smart junction. This research deals with the case of this junction, where several cars approach the intersection from various directions, and a smart traffic light must decide about the time intervals of RED and GREEN in each direction, with our novel approach that is based not only on the number of vehicles in each lane, but also on other factors such as the type of vehicles (e.g. emergency vehicles), and the social characteristics of the passengers (e.g. a handicapped person, a student who is late for an exam). Those factors will be gleaned from the IoT network amongst cars, traffic lights, individuals, municipality data, and more. Once those priorities have been examined, they are fed into the algorithm we have devised, and outputted as a timing schedule for the different sides of the intersection, taking also into consideration the cars physical attributes such as length and speed. In this paper we present the algorithm, the prioritizing research, its implementation in the algorithm and our experimental results.
KW - Internet of Things (IoT)
KW - Real-Time algorithms
KW - Smart Junction
KW - social dilemmas in IoT
UR - http://www.scopus.com/inward/record.url?scp=85063156360&partnerID=8YFLogxK
U2 - 10.1109/ICSEE.2018.8646018
DO - 10.1109/ICSEE.2018.8646018
M3 - Conference contribution
AN - SCOPUS:85063156360
T3 - 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
BT - 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
Y2 - 12 December 2018 through 14 December 2018
ER -
