TY - GEN
T1 - Formalization of Intersection Traffic Rules in Temporal Logic
AU - Maierhofer, Sebastian
AU - Moosbrugger, Paul
AU - Althoff, Matthias
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Intersections are difficult to navigate for both human drivers and autonomous vehicles because several diverse traffic rules must be considered. In addition, current traffic rules are ambiguous and cannot be applied directly by autonomous vehicles. Therefore, national traffic rules must be concretized and formalized so that they are machine-interpretable. We present formalized intersection traffic rules in temporal logic and use the German traffic regulations as a concrete example. Our formalization considers different types of intersections, i.e., signalized, traffic-sign-regulated, and unregulated intersections. We also define predicates and functions that can be easily reused for other national traffic laws. We evaluate our formalized traffic rules on recorded real-world scenarios and manually-created test scenarios. Our evaluation validates the formalization from different legal sources.
AB - Intersections are difficult to navigate for both human drivers and autonomous vehicles because several diverse traffic rules must be considered. In addition, current traffic rules are ambiguous and cannot be applied directly by autonomous vehicles. Therefore, national traffic rules must be concretized and formalized so that they are machine-interpretable. We present formalized intersection traffic rules in temporal logic and use the German traffic regulations as a concrete example. Our formalization considers different types of intersections, i.e., signalized, traffic-sign-regulated, and unregulated intersections. We also define predicates and functions that can be easily reused for other national traffic laws. We evaluate our formalized traffic rules on recorded real-world scenarios and manually-created test scenarios. Our evaluation validates the formalization from different legal sources.
UR - http://www.scopus.com/inward/record.url?scp=85135371817&partnerID=8YFLogxK
U2 - 10.1109/IV51971.2022.9827153
DO - 10.1109/IV51971.2022.9827153
M3 - Conference contribution
AN - SCOPUS:85135371817
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 1135
EP - 1144
BT - 2022 IEEE Intelligent Vehicles Symposium, IV 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Intelligent Vehicles Symposium, IV 2022
Y2 - 5 June 2022 through 9 June 2022
ER -