TY - GEN
T1 - Automatic Real Time Platoon Formation Using the Road Graph
AU - Dolev, Shlomi
AU - Gudes, Ehud
AU - Yair, Hannah
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - Identifying traffic platoons and managing vehicles on the road effectively is a challenging task that is currently investigated both in academia and industry. The challenges include the need for fast real-time gathering of relevant information, such as vehicle's location, moving direction, and speed, and instructing the vehicles in real-time to respect traffic policies according to the gathered information. In this work we present new algorithms to define platoons that are updated dynamically on the fly, allowing much better control over the traffic to gain efficiency. A platoon representative vehicle is chosen and the set of vehicles in the platoon is identified based on inductive distance criteria, that are continuously checked and considering the road graph topology and, updating the platoon memberships. In this paper, we present the main algorithms to identify and control the platoon and demonstrate this detection using a vehicle simulator.
AB - Identifying traffic platoons and managing vehicles on the road effectively is a challenging task that is currently investigated both in academia and industry. The challenges include the need for fast real-time gathering of relevant information, such as vehicle's location, moving direction, and speed, and instructing the vehicles in real-time to respect traffic policies according to the gathered information. In this work we present new algorithms to define platoons that are updated dynamically on the fly, allowing much better control over the traffic to gain efficiency. A platoon representative vehicle is chosen and the set of vehicles in the platoon is identified based on inductive distance criteria, that are continuously checked and considering the road graph topology and, updating the platoon memberships. In this paper, we present the main algorithms to identify and control the platoon and demonstrate this detection using a vehicle simulator.
KW - (V2I)vehicle-to-infrastructure-communication
KW - (V2V)vehicle-to-vehicle-communication
KW - Platoon identification
UR - http://www.scopus.com/inward/record.url?scp=85125925129&partnerID=8YFLogxK
U2 - 10.1109/NCA53618.2021.9685299
DO - 10.1109/NCA53618.2021.9685299
M3 - Conference contribution
AN - SCOPUS:85125925129
T3 - 2021 IEEE 20th International Symposium on Network Computing and Applications, NCA 2021
BT - 2021 IEEE 20th International Symposium on Network Computing and Applications, NCA 2021
A2 - Andreolini, Mauro
A2 - Marchetti, Mirco
A2 - Avresky, Dimiter R.
PB - Institute of Electrical and Electronics Engineers
T2 - 20th IEEE International Symposium on Network Computing and Applications, NCA 2021
Y2 - 23 November 2021 through 26 November 2021
ER -