A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles
2019 ◽
Vol 33
◽
pp. 9953-9954
Keyword(s):
This work explores the design of a central collaborative driving strategy between connected cars with the objective of improving road safety in case of highway on-ramp merging scenario. Based on a suitable method for predicting vehicle motion and behavior for a central collaborative strategy, a dynamic Bayesian network method that predicts the intention of drivers in highway on-ramp is proposed. The method was validated using real data of detailed vehicle trajectories on a segment of interstate 80 in Emeryville, California.
2022 ◽
Vol 109
◽
pp. 104624
2019 ◽
Vol 77
◽
pp. 283-310
◽
Keyword(s):
2017 ◽
Vol 3
(1)
◽
pp. 76
◽
2014 ◽
Vol 9
(5)
◽
pp. 531-539
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2021 ◽
pp. 036119812110064
Keyword(s):
2010 ◽
Vol 2010
(1)
◽
Keyword(s):