TY - GEN
T1 - Digitization of Traffic Laws
T2 - 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023
AU - Zhao, Chengxiang
AU - Yu, Wenhao
AU - Ma, Xiaohan
AU - Zhao, Yuzhuang
AU - Li, Boqi
AU - Wang, Weida
AU - Hu, Jia
AU - Wang, Hong
AU - Zhao, Ding
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Autonomous Vehicles (AVs) must adhere to traffic laws designed for human-driven vehicles. However, since current traffic laws are expressed in natural language and are inherently ambiguous, AVs encounter challenges in comprehending these laws. Therefore, digitizing traffic laws into a format that AVs can understand is crucial for safe and efficient driving. In this paper, a process for digitizing regulations is proposed, where each regulation is digitized into a temporal logic expression composed of computable atomic propositions. Based on this process, a vehicle-side online violation monitoring architecture is established. These works make AVs understand traffic laws easily. Several common but important regulations are used as examples to illustrate our work and are deployed on an AV for verification. The results demonstrate that the proposed monitoring architecture can monitor ego vehicle's illegal behavior in real-time and provide compliance suggestions, thereby helping AVs operate more safely.
AB - Autonomous Vehicles (AVs) must adhere to traffic laws designed for human-driven vehicles. However, since current traffic laws are expressed in natural language and are inherently ambiguous, AVs encounter challenges in comprehending these laws. Therefore, digitizing traffic laws into a format that AVs can understand is crucial for safe and efficient driving. In this paper, a process for digitizing regulations is proposed, where each regulation is digitized into a temporal logic expression composed of computable atomic propositions. Based on this process, a vehicle-side online violation monitoring architecture is established. These works make AVs understand traffic laws easily. Several common but important regulations are used as examples to illustrate our work and are deployed on an AV for verification. The results demonstrate that the proposed monitoring architecture can monitor ego vehicle's illegal behavior in real-time and provide compliance suggestions, thereby helping AVs operate more safely.
UR - http://www.scopus.com/inward/record.url?scp=85186531733&partnerID=8YFLogxK
U2 - 10.1109/ITSC57777.2023.10422600
DO - 10.1109/ITSC57777.2023.10422600
M3 - Conference contribution
AN - SCOPUS:85186531733
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 2376
EP - 2383
BT - 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 September 2023 through 28 September 2023
ER -