An Optimization Method Based on Platooning for Lane Operation Strategies on Highways

Seungmin Oh; Jeongin Yun; Jinwoo Lee

doi:10.7470/jkst.2022.40.6.895

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2022 Vol.40, Issue 6 Preview Page Next Page

Article

An Optimization Method Based on Platooning for Lane Operation Strategies on Highways 고속도로 내 차로 운영 전략을 위한 군집주행 기반 최적화 방법론

31 December 2022. pp. 895-907

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Abstract

With the rapid development of communication and automation technologies, connected and autonomous vehicles (CAVs) are gaining increased attention as a potential solution to the problem of traffic congestion. Especially, that CAV platooning can improve traffic capacity in comparison to human-driven vehicle (HDV) traffic. However, as it takes a considerable amount of time to replace all vehicles on roads with CAVs, it is crucial to understand the features of the mixed traffic system in which CAVs and HDVs share the road and to determine the optimal operation methods for the mixed traffic system. This study focuses on maximizing the traffic capacity of multi-lane highway sections by proposing a novel HDV or CAV-only lane operation plan. Considering the inter-vehicle distance and the CAV penetration rate, we proposed a mathematical model and optimization framework based on the concept of a fundamental diagram. Numerical examples of two- and three-lane highways were used to examine the best-case scenario for introducing CAVs. Therefore, when the total CAV penetration rate increases, introducing CAVs sequentially from a given lane will allow for the maximum traffic capacity. Results showed that implementing a single mixed traffic lane and HDV-only lanes without a CAV-only lane is more suitable for low CAV penetration. The proposed method can provide transportation planners and policymakers with information to assess if and how many HDV-only lanes and CAV-only lanes should be implemented to maximize total traffic capacity.

Keywords

connected and autonomous vehicles

mixed traffic

optimization

platooning

traffic capacity

통신 및 자동화 기술이 빠르게 발전하면서 커넥티드 자율주행 차량, CAV(Connected and Autonomous Vehicle)은 교통 혼잡 문제의 해결 방안으로 새롭게 주목을 받고 있다. 특히 CAV의 군집주행은 기존 사람이 운전하는 차량, HDV(Human-Driven Vehicle) 시스템보다 교통용량을 증대시킬 수 있다. 그러나 고속도로의 모든 차량을 CAV로 대체하는 데 오랜 시간이 걸릴 것으로 전망되며, CAV와 HDV가 도로를 공유하는 혼합 교통류 특성을 이해하고 효율성 높은 운영 방안을 모색하는 것이 중요하다. 본 연구에서는 HDV 또는 CAV 전용차로 운영 방안을 새롭게 제시하여 다중차로 고속도로 구간 교통용량의 최대화에 초점을 맞춘다. 이를 위해 교통 기본도 개념을 활용하여 차간 거리와 CAV 혼입률을 고려한 수학적 모델과 최적화 프레임워크를 제안한다. 제시된 프레임워크를 이중 차로 고속도로 수치 예제에 적용하여 최적의 CAV 도입 시나리오를 분석하였으며, 전체 CAV 혼입률과 동일하게 차로별 CAV 혼입률을 결정하는 디폴트 시나리오와 최적 시나리오를 비교하여 교통용량의 차이를 확인하였다. 그 결과, 전체 CAV 혼입률이 증가할 때 특정 차로부터 CAV가 순차적으로 도입되는 새로운 운영 방식이 교통용량을 더 향상시키는 것으로 나타났다. 이를 통해 전체 CAV 혼입률에 따라 차로별 CAV 혼입률을 제어하고 그에 맞는 HDV 또는 CAV 전용차로를 도입하는 최적 운영 방안을 제시하였다.

키워드

커넥티드 자율주행 차량

혼합 교통

최적화

군집주행

교통용량

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Information

Publisher :Korean Society of Transportation
Publisher(Ko) :대한교통학회
Journal Title :Journal of Korean Society of Transportation
Journal Title(Ko) :대한교통학회지
Volume : 40
No :6
Pages :895-907
Received Date : 2022-10-31
Revised Date : 2022-11-07
Accepted Date : 2022-11-22
DOI :https://doi.org/10.7470/jkst.2022.40.6.895

Journal of Korean Society of Transportation ISSN:1229-1366(Print) 2234-4217(Online) 대한교통학회지

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