[논문]교차로 교통 흐름 제어 최적화에 관한 연구

이추담; 송정영

doi:10.7236/jiibc.2022.22.3.15

초록
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현재 교차로에서의 보행자 교통흐름이나 비동력차 교통흐름의 신호제어에 대한 연구는 비교적 적다. 교통 흐름 신호 제어의 최적화 방안을 연구하여 보행자, 비동력차, 자동차 등의 전체적인 교통 흐름을 조화롭게 통제할 수 있게 하는 것은 교차로의 정체 상황을 개선하는 데 중요한 의의가 있다. 교차로의 교통 최적화를 위해 본 논문은 채널화 최적화와 위상 설계의 두 가지 측면에서 출발하며, 교차로에서의 충돌점의 수를 공간적, 시간적 할당으로부터 각각 감소시킨다. 고전적인 신호 타이밍 방법을 이론적 기반으로하고, 교통 여행객의 안전과 시간 적 이익 보장을 목표로 교차로의 채널화 최적화 및 신호 제어 방안을 제안한다. 자동차, 비자동차, 보행자를 객체로 하는 교차로의 채널화 및 위상 설계방법에 대해 논의하고, 교차로의 채널화 최적화 개선 방안을 제안한다. 교차로 신호제어의 다목적 최적화 모델을 구축하였으며, NSGA-II 알고리즘을 기반으로 모델을 해결하였다.

Abstract ▼ AI-Helper

At present, there are few studies on signal control of pedestrian traffic flow and non-motor traffic flow at intersections. Research on the optimization scheme of mixed traffic flow signal control can coordinate and control the overall traffic flow of pedestrians, non-motor vehicles and motor vehicl...

At present, there are few studies on signal control of pedestrian traffic flow and non-motor traffic flow at intersections. Research on the optimization scheme of mixed traffic flow signal control can coordinate and control the overall traffic flow of pedestrians, non-motor vehicles and motor vehicles, which is of great significance to improve the congestion at intersections. For the traffic optimization of intersections, this paper starts from two aspects: channelization optimization and phase design, and reduces the number of conflict points at intersections from spatial and temporal right-of-way allocation respectively. Taking the classical signal timing method as the theoretical basis, and aiming at ensuring the safety and time benefit of traffic travelers, a channelization optimization and signal control scheme of the intersection is proposed. The channelization and phase design methods of intersections with motor vehicles, non-motor vehicles and pedestrians as objects are discussed, and measures to improve the channelization optimization of intersections are proposed. A multi-objective optimization model of intersection signal control was established, and the model was solved based on NSGA-II algorithm.

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표/그림 (3)

그림 그림 1. 교차로 신호 채널화 설계 흐름도 Fig. 1. Flowchart of the design of signal channelization at intersections
그림 그림 2. NSGA-II의 최적화 흐름도 Fig. 2. Optimization flow chart of NSGA-II
표 표 1. 서로 다른 신호 타이밍 방안의 비교 Table 1. Comparison of different signal timing schemes

AI 본문요약
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문제 정의

At present, about the pedestrian traffic flow at the intersection and non-motorized traffic signal control problem of the study is less, in practice, some signal control scheme does not consider safe passage of pedestrians and non-motor vehicles, some pedestrians, non-motor vehicles and motor vehicle traffic flow management together, caused the mutual interference of an intersection traffic flow, influence the traffic operation efficiency. Therefore, it is of great significance to study the control optimization scheme of mixed traffic flow signals at intersections, to coordinate and control the traffic flow of pedestrians, non-motor vehicles and motor vehicles as a whole, and to rationally allocate the right of way at intersections.

제안 방법

For the optimization of traffic flow control at intersections, this paper starts with channelization-optimization and phase design, and reduces the number of intersection conflict points from spatial right-of-way allocation and temporal right-of-way allocation respectively. From the perspective of traveler's safety, the canalization optimization method and phase optimization method of road traffic participants are studied and summarized, use the NSGA-II coding, intersection signal control model is established.
From the perspective of space control, based on the existing theory, this chapter studies the channelization- optimization and phase design methods of mixed traffic at intersections with motor vehicles, non-motor vehicles and pedestrians as objects, and from the perspective of ensuring non-motor vehicles and pedestrians. From the perspective of safety, channelization design measures are proposed.

이론/모형

In order to verify the feasibility of the multi-objective optimal timing scheme proposed in this paper, a typical intersection peak hours and off peak hours were selected as an example to compare the multi-objective timing scheme proposed by us with Webster scheme. Due to the length of this paper, the specific process is not shown, and the relevant control performance indicators are shown in Table 1.

성능/효과

NSGA-III and NSGA-II have similar frameworks, and the difference between them mainly lies in the change of selection mechanism. NSGA-II mainly sorted by crowding, and its effect in high-dimensional target space was not obvious, while NSGA-III made a lot of adaptation of crowding ranking, and maintained the diversity of the population by introducing widely distributed reference points. In the future, when more NSGA-III source code is released, we will improve the method proposed in this paper.
Simulation results show that compared with Webster scheme, the multi-objective optimization scheme based on NASA-II algorithm reduces the average delay of vehicles by 3.61s, the average delay of non-motor vehicles and pedestrians by 4.83s, the parking rate by 3.59%, and the number of vehicles passing through the intersection by 389 vehicles per hour. The multi-objective optimization scheme based on NASA-II algorithm proposed in this paper is more excellent.
59%, and the number of vehicles passing through the intersection by 389 vehicles per hour. The multi-objective optimization scheme based on NASA-II algorithm proposed in this paper is more excellent.

참고문헌 (7)

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원문보기 상세보기
Kim, Hyoung Seok, "Region-Based Gradient and Its Application to Image Segmentation", International Journal of Advanced Smart Convergence (IJASC), Vol. 7, No. 4, pp. 108-113, 2018. DOI: https://doi.org/10.7236/IJASC.2018.7.4.108

원문보기 상세보기
Cheon, Min Jong; Choi, Hye Jin; Park, Ji Woong; Choi, HaYoung; Lee, Dong Hee; Lee, Ook; "A Study on the traffic flow prediction through Catboost algorithm", Journal of the Korea Academia-Industrial cooperation Society(JKAIS), Vol. 22, No. 3, pp. 58-64, March 2021 DOI: https://doi.org/10.5762/KAIS.2021.22.3.58

원문보기 상세보기
Choi, Myeong-Bok, Hong, You-Sik, "Arduino Sensor based on Traffic Safety System using Intelligence, Arduino Sensor based on Traffic Safety System using Intelligence", The Journal of The Institute of Internet, Broadcasting and Communication(JIIBC), Vol. 9, No. 1, pp.18-23, 2017 DOI: https://doi.org/10.7236/IJIBC.2017.9.1.18

원문보기 상세보기
Suh W, Hunter M P, "Signal Design for Displaced Left-turn Intersection Using Monte Carlo Method", KSCE Journal of Civil Engineering, Vol. 18, No. 4, pp. 1140-1149, 2014. DOI: 10.1007/s12205-014-0225-8.

상세보기
Dalwon Lee, Dae-Sik Ko, Donghwan Kim, Sang-Yong Choi, "High-Capacity Traffic Processing System Using PF_Ring", Journal of KIIT, Vol. 18, No. 2, pp. 137-145, Dec 2019. DOI: https://doi.org/10.14801/jkiit.2020.18.2.137

상세보기
Lu Lu, Research on Traffic Control Optimization of Urban Intersections in Mixed Traffic Environment, Master's thesis, Lanzhou Jiaotong University, pp. 20-28, 2021. DOI: 10.27205/d.cnki.gltec.2021.001121

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[국내논문] 교차로 교통 흐름 제어 최적화에 관한 연구
Research on optimization of traffic flow control at intersections 원문보기

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