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Enhancing Transportation Safety with Infrastructure Cooperative Autonomous Driving System

  • Connected Automated Vehicles and ITS
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Abstract

As self-driving cars become a reality, concerns about the safety guarantee of autonomous driving also increase. We propose an autonomous driving system that enhances its vision capacity by leveraging edge infrastructure. This proposed system involves autonomous vehicles participating in V2I broadcasting of the edge infrastructure, which supplies object perception information. The vehicles then form policies from this acquired information. These policies, defined within a set of constraints, enhance safety by impacting the trajectory of the autonomous vehicle. We implemented this system in both real-world and simulated environments. An aggressive scenario at an unsignalized intersection was also performed to evaluate the safety of the proposed system. The results showed that the edge infrastructure improved the safety speed by an average of 17% and averted collisions with objects moving at speeds lower than 25 kph. Therefore, our strategy for enhancing safety by expanding the field of view for self-driving vehicles is successful. The proposed system is expected to be highly utilized as it has an adaptable structure that can be easily expanded from existing autonomous driving systems and can consider various types of traffic participants.

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Data availability

We provide a github repository link that implements TIM: https://github.com/TypingCat/tim.

Abbreviations

ADS:

Autonomous driving system

CP:

Conflict point

EPSG:

European petroleum survey group

ICAD:

Infrastructure cooperative autonomous driving

MDP:

Markov decision process

MOT:

Multiple object tracking

OBU:

On-board unit

POMDP:

Partially observable Markov decision process

RSU:

Road side unit

SAE:

Society of automotive engineers

SP:

Safe point

TIM:

Traveler information message

TTC:

Time to collision

V2I:

Vehicle-to-infrastructure

V2V:

Vehicle-to-vehicle

V2X:

Vehicle-to-everything

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Acknowledgements

This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 21AMDP-C160548-01); and the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korean government (MSIP) (No. 2020-0-00002, Development of standard SW platform-based autonomous driving technology to solve social problems of mobility and safety for public transport-marginalized communities).

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  1. Superintelligence Creative Research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon, 34129, South Korea

    Jinhong Noh, Yongwoo Jo, Jooyoung Kim & Kyongwook Min

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  1. Jinhong Noh
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  2. Yongwoo Jo
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Correspondence to Jinhong Noh.

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Noh, J., Jo, Y., Kim, J. et al. Enhancing Transportation Safety with Infrastructure Cooperative Autonomous Driving System. Int.J Automot. Technol. 25, 61–69 (2024). https://doi.org/10.1007/s12239-024-00011-z

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