자율주행차량 도입에 따른 교통 네트워크의 효율성 변화 분석연구
Exploring the Impacts of Autonomous Vehicle Implementation through Microscopic and Macroscopic Approaches
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초록
차량 통신 및 지능형 교통 시스템의 기술 향상으로 인해 자율 차량이 시장에 서서히 도입될것으로 예상된다. 본 연구는 자율주행차량이 네트워크 효율성에 미치는 영향을 분석한 것이다. 네트워크의 효율성을 측정하기 위해 이 연구에서는 미시적 및 거시적 시뮬레이션을 결합한 순차적 단계를 적용했다. 미시적 시뮬레이션은 도로에서 자율주행차량의 비율에 의한 용량 변화를 고려하는 반면, 거시적 시뮬레이션은 네트워크 전체의 개선을 식별하기 위해 시뮬레이션결과를 이용한다. 예상대로, 자율주행차량은 인간의 운전보다 기존 도로 용량을 효율적으로활용한다. 특히, 고속도로에서 최대 용량 개선은 190.5%로 예상된다. 상당한 용량의 변화는 자율주행차량의 비율이 약 80% 이상일 때 관찰된다. 이러한 개선 사항은 자율주행차량의 보급을통해 전반적인 네트워크 효율성을 향상시킬 수 있는 거시적 모델로 변환된다. 그러나 본 연구는 자율 주행 차량의 시장 첫 출연이 자유로운 흐름 조건을 보장하지 않는 다는 것을 확인하며, 이는 자율주행차량 시대에 맞는 시스템 최적의 경로 체계의 가능한 필요성을 의미한다.
Abstract
Thanks to technical improvement on the vehicle to vehicle communication and the intelligent transportation system, gradual introduction of the autonomous vehicles is expected soon in the market. The study analyzes the autonomous vehicles’ impacts on the network efficiencies. In order to measure the network efficiencies, the study applies the sequential procedures that combines the microscopic and macroscopic simulations. The microscopic simulation attends to the capacity changes due to the autonomous vehicles’ proportions on the roadway while the macroscopic simulation utilizes the simulation results in order to identify the network-wide improvement. As expected, the autonomous vehicles efficiently utilizes the existing capacity of the roadway than the human driving does. Particularly, the maximum capacity improvements are expected by the 190.5% on the expressway. The significant capacity change is observed when the autonomous vehicles’ proportions are about 80% or more. These improvements are translated into the macroscopic model, which also yields overall network efficiency improvement by the autonomous vehicles’ penetration. However, the study identifies that the market debut of the autonomous vehicles does not promise the free flow condition, which implies the possible needs of the system optimal routing scheme for the era of the autonomous vehicles.
참고문헌 (20)
- Anderson J. M., "Autonomous vehicle technology; A guide for policymakers", RAND Corporation, ~ (2014)
- Bose A., "Analysis of Traffic Flow with Mixed Manual and Semiautomated Vehicles", IEEE Transactions on Intelligent Transportation Systems, 4, pp.173~188 (2003)
- Highway capacity Impacts of autonomous vehicles: an assessment, "Center for Urban Transportation Research", ~ (2013)
- Research on the Impacts of Connected and Autonomous Vehicles (CAVs) on Traffic Flow, "Department for Transport", ~ (2016)
- European roadmap smart systems for automated driving, "Dokic J.", European Technology Platform on Smart System Integration, ~ (2015)
- Fernandez P., "Platooning with IVC-enabled autonomous vehicles: Strategies to mitigate communication delays, improve safety and traffic flow", IEEE Transactions on Intelligent Transportation Systems, 13(1), pp.91~106 (2012)
- Kesting A., "Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity", Philos. Trans. Roy. Soc. A, 368, pp.4585~4605 (2010)
- Traffic network capacity change effect due to the autonomous vehicle's proportions, A Study on the national territory 93issue, "Ko Y.", Korea Research Institute for Human Settlements, 17~24 (2017)
- An Evaluation of the impacts of Autonomous Vehicles on Use of National Territory, "Lee B.", Korea Research Institute for Human Settlements, ~ (2017)
- Autonmous vehicle implementation predicitons; Implications for transport planning, "Litman T.", Victoria Transport Policy Institute, ~ (2013)
- Milanes V., "Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data", Transportation Research Part C, 48, pp.285~300 (2014)
- 문영준, "자율주행시스템 개발 방향과 교통류 효과척도", Telecommunications Review, 25(3), pp.442~448 (2015), 에스케이텔레콤 (주)
- future population projection: 2015~2065years, report material, "National Statistical Office", ~ (2016)
- 박인선, "자율주행차량 도입에 따른 고속도로 교통류 영향분석 - 경부고속도로 서울-신갈 기본구간을 중심으로", 한국ITS학회 논문지, 14(6), pp.21~36 (2015), 한국ITS학회[DOI]
- Pinjari A. R., "Highway capacity impacts of autonomous vehicles: An assessment" (2013), University of South Florida
- Talebpour A., "Influence of connected and autonomous vehicles on traffic flow stability and throughput", Transportation Research Part C, 71, pp.143~163 (2016)
- Tientrakool P., "Highway capacity benefits from using vehicle-to-vehicle communication and sensors for collision avoidance", Vehicular Technology Conference, pp.1~5 (2011), IEEE
- "PTV Vissim manual" (2017)[URL]
- Wardrop J. G., "Some theoretical aspects of road traffic research", Proc. Inst. Civil Engr., 2(1), pp.325~378 (1952)
- Zhou J., "Evaluating mobility and sustainability benefits of cooperative adaptive cruise control using agent-based modeling approach", Systems and Information Engineering Design Symposium, pp.74~78 (2012)