Centralized Coordination of Autonomous Vehicles at Intersections
Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Centralized Coordination of Autonomous Vehicles at Intersections. / Chamideh, Seyedezahra; Tärneberg, William; Kihl, Maria.
2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE - Institute of Electrical and Electronics Engineers Inc., 2020.Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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TY - GEN
T1 - Centralized Coordination of Autonomous Vehicles at Intersections
AU - Chamideh, Seyedezahra
AU - Tärneberg, William
AU - Kihl, Maria
PY - 2020
Y1 - 2020
N2 - Recent advances in autonomous vehicles present new opportunities in Intelligent transportation systems (ITS) to address urban transport challenges. Therefore, urban traffic scenarios, and in particular intersections as a bottleneck of transportation network, has received significant attention. In this paper we investigate intelligent traffic control mechanisms for autonomous vehicles at intersections as a replacement of traditional intersection control. An edge cloud controller is used to deliver services that provide traffic safety and efficiency to vehicles. Two well-cited optimization algorithms for cooperative vehicles are compared with realistic simulations in SUMO. This side by side comparison helps to gain insight into the strengths and limitations of these types of algorithms.
AB - Recent advances in autonomous vehicles present new opportunities in Intelligent transportation systems (ITS) to address urban transport challenges. Therefore, urban traffic scenarios, and in particular intersections as a bottleneck of transportation network, has received significant attention. In this paper we investigate intelligent traffic control mechanisms for autonomous vehicles at intersections as a replacement of traditional intersection control. An edge cloud controller is used to deliver services that provide traffic safety and efficiency to vehicles. Two well-cited optimization algorithms for cooperative vehicles are compared with realistic simulations in SUMO. This side by side comparison helps to gain insight into the strengths and limitations of these types of algorithms.
U2 - 10.23919/SoftCOM50211.2020.9238311
DO - 10.23919/SoftCOM50211.2020.9238311
M3 - Paper in conference proceeding
SN - 978-1-7281-7538-6
BT - 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
T2 - 28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)
Y2 - 17 September 2020 through 19 September 2020
ER -