• Title/Summary/Keyword: Urban Traffic

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Traffic Flow Prediction with Spatio-Temporal Information Fusion using Graph Neural Networks

  • Huijuan Ding;Giseop Noh
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.88-97
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    • 2023
  • Traffic flow prediction is of great significance in urban planning and traffic management. As the complexity of urban traffic increases, existing prediction methods still face challenges, especially for the fusion of spatiotemporal information and the capture of long-term dependencies. This study aims to use the fusion model of graph neural network to solve the spatio-temporal information fusion problem in traffic flow prediction. We propose a new deep learning model Spatio-Temporal Information Fusion using Graph Neural Networks (STFGNN). We use GCN module, TCN module and LSTM module alternately to carry out spatiotemporal information fusion. GCN and multi-core TCN capture the temporal and spatial dependencies of traffic flow respectively, and LSTM connects multiple fusion modules to carry out spatiotemporal information fusion. In the experimental evaluation of real traffic flow data, STFGNN showed better performance than other models.

Experimental Investigation of Macroscopic Analysis of Traffic Safety Using Meta Analysis Focused on Busan Metropolitan City (메타분석을 이용한 교통안전성의 거시적 분석에 대한 실험적 고찰 : 부산광역시를 중심으로)

  • Park, Jongseo;Oh, Yun Pyo;Kim, Hoe Kyoung;Ahn, Woosung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.6
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    • pp.1339-1345
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    • 2015
  • Korean government annually estimates and reports the traffic safety index to evaluate the traffic safety of 228 Gu Gun. However, since the traffic safety index is derived from the spatially macroscopic perspective based on collected relative data, there are a couple of problems such as inability to investigate the individual traffic accidents on the spot, insecurity of accuracy and reliability of traffic safety index estimation method, and absence of establishing temporal relationship of traffic accidents. Thus, this study investigated temporal traffic safety in macroscopic manner for Gu Gun in Busan depending on the installation of the traffic safety facility (i.e., urban median), employing meta analysis. As a result, all Gu Gun in Busan except Saha, Buk, Dong, and Busanjin experienced more traffic accidents after installing the urban median, indicating that there are more rooms for improvement of macroscopic traffic safety evaluation.

Study on Traffic Convenience of Aged People with Mobility Disadvantage: Focusing on Hanam-eup, Miryang-city, Gyeongsangnam-provance

  • In-Ja Lim;Seong-Hak Kim;Kyong-Jin Park
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.4_1
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    • pp.537-543
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    • 2023
  • According to the statistics, Korea is expected to reach a super-aged society in 2025. In preparation for an aging society, The government is making efforts to improve in social activity and welfare for the elderly people. But in case of people who live in urban-rural mixed cities, They can not benefit from traffic convenience that is essential in social activities. For example, surveys and interviews show that, The dwellers(65+ of some urban-rural mixed cities) have many restrictions on social activities because of mobility disadvantage. Therefore, We propose that expansion for the people who need to use the voucher taxi, Increase of the public bus service and rebuilding of the bus stop terminal. We are looking forward to this study will be used as basic data for transportation policy of urban-rural mixed cities across the country.

Fuzzy Adaptive Traffic Signal Control of Urban Traffic Network (퍼지 적응제어를 통한 도시교차로망의 교통신호제어)

  • 진현수;김성환
    • Journal of Korean Society of Transportation
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    • v.14 no.3
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    • pp.127-141
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    • 1996
  • This paper presents a unique approach to urban traffic network signal control. This paper begins with an introduction to traffic control in general, and then goes on to describe the approach of fuzzy control, where the signal timing parameters at a given intersection are adjusted as functions of the local traffic network condition and adjacent intersection. The signal timing parameters evolve dynamically using only local information to improve traffic signal flow. The signal timing at an intersection is defined by three parameters : cycle time, phase split, off set. Fuzzy decision rules are used to adjust three parameters based only on local information. The amount of change in the timing parameters during each cycle is limited to a small fraction of the current parameters to ensure smooth transition. In this paper the effectiveness of this method is showed through simulation of the traffic signal flow in a network of controlled intersection.

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Development of Accident Model by Traffic Violation Type in Korea 4-legged Circular Intersections (국내 4지 원형교차로 법규위반별 사고모형 개발)

  • Park, Byung Ho;Kim, Kyeong Yong
    • Journal of the Korean Society of Safety
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    • v.30 no.2
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    • pp.70-76
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    • 2015
  • This study deals with the traffic accident of circular intersections. The purpose of the study is to develop the accident models by traffic violation type. In pursuing the above, this study gives particular attention to analyzing various factors that influence traffic accident and developing such the optimal models as Poisson and Negative binomial regression models. The main results are the followings. First, 4 negative binomial models which were statistically significant were developed. This was because the over-dispersion coefficients had a value greater than 1.96. Second, the common variables in these models were not adopted. The specific variables by model were analyzed to be traffic volume, conflicting ratio, number of circulatory lane, width of circulatory lane, number of traffic island by access road, number of reduction facility, feature of central island and crosswalk.

Implementation and Validation of Traffic Light Recognition Algorithm for Low-speed Special Purpose Vehicles in an Urban Autonomous Environment (저속 특장차의 도심 자율주행을 위한 신호등 인지 알고리즘 적용 및 검증)

  • Wonsub, Yun;Jongtak, Kim;Myeonggyu, Lee;Wongun, Kim
    • Journal of Auto-vehicle Safety Association
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    • v.14 no.4
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    • pp.6-15
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    • 2022
  • In this study, a traffic light recognition algorithm was implemented and validated for low-speed special purpose vehicles in an urban environment. Real-time image data using a camera and YOLO algorithm were applied. Two methods were presented to increase the accuracy of the traffic light recognition algorithm, and it was confirmed that the second method had the higher accuracy according to the traffic light type. In addition, it was confirmed that the optimal YOLO algorithm was YOLO v5m, which has over 98% mAP values and higher efficiency. In the future, it is thought that the traffic light recognition algorithm can be used as a dual system to secure the platform safety in the traffic information error of C-ITS.

Truck Accident Models of Circular Intersections by Type of Accident and Conflict (사고 및 충돌유형에 따른 원형교차로 화물차 사고모형)

  • Son, Seul Ki;Cho, Ah Hae;Park, Byung Ho
    • Journal of the Korean Society of Safety
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    • v.32 no.3
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    • pp.123-129
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    • 2017
  • This study deals with the traffic accident of truck at circular intersection. The purpose of this study is to develop the truck accident models based on type of accident and conflict. In pursuing the above, the study gives particular attentions to selecting the appropriate models among Poisson and Negative binomial models using statistical program LIMDEP 8.0. The traffic accident data from 2007 to 2014 are collected from TAAS data set of Road Traffic Authority. Such the dependent variable as number of truck accidents and the 24 independent variables as geometry, traffic volume and others are used. The main results are as follows. First, 5 Poisson models (${\rho}^2$ of 0.164~0.351) which are all statistically significant are selected. Second, the common variable based on type of accident and conflict is analyzed to be truck apron width. The specific variables are, however, evaluated to splitter island, area of splitter island, speed limit sign, truck apron, number approach road, circular intersection sign, speed hump and traffic volume. Finally, widening the truck apron width and improving the above specific variables are analyzed to be important for truck accident reduction at circular intersections.

Analysis of Traffic Accident by Circular Intersection Type in Korea Using Count Data Model (가산자료 모형을 이용한 국내 원형교차로 유형별 교통사고 분석)

  • Kim, Tae Yang;Lee, Min Yeong;Park, Byung Ho
    • Journal of the Korean Society of Safety
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    • v.32 no.5
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    • pp.129-134
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    • 2017
  • This study aims to develop the traffic accident models by circular intersection type using count data model. The number of accident, the number of fatal and injured persons(FSI), and EPDO are calculated from the traffic accident data of TAAS. The circular intersection accident models are developed through Poisson and negative binomial regression analysis. The main results of this study are as follows. First, the null hypotheses that there are differences in the number of traffic accidents, FSI and EPDO by type of circular intersections are rejected. Second, the scale of intersection(median, large), number of approach road, mean width and length of exit road, area of the circulating roadway and central island are selected as factors influencing the number of traffic accidents, FSI and EPDO in rotary. Third, the scale of intersection(median), guide signs(limited speed, direction, roundabout), number of approach road, entry angle, area of the intersection and central island are adopted as factors influencing the number of traffic accidents, FSI and EPDO in roundabout. Finally, transferring from rotary to roundabout could be expected to make the accident decrease.

Analysis of Traffic Improvement Measures in Transportation Impact Assessment Using Text Mining : Focusing on City Development Projects in Gyeonggi Province (텍스트마이닝을 활용한 교통영향평가 교통개선대책 분석 : 경기도 도시개발사업을 대상으로)

  • Eun Hye Yang;Hee Chan Kang;Woo-Young Ahn
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.2
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    • pp.182-194
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    • 2023
  • Traffic impact assessment plays a crucial role in resolving traffic issues that may arise during the implementation of urban and transportation projects. However, reported results diverge, presumably because the items reviewed differ. In this study, we analyze traffic improvement measures approved for traffic impact assessment, identify key items, and present items that should be included in assessments. Specifically, TF-IDF and N-gram analysis and text mining were performed with focus on urban development projects approved in Gyeonggi Province. The results obtained show that keywords associated with newly established transportation infrastructure, such as roads and intersections, were essential assessment items, followed by the locations of entrances and exits and pedestrian connectivity. We recommend that considerations of the items presented in this study be incorporated into future traffic impact assessment guidelines and standards to improve the consistency and objectivity of the assessment process.

Traffic Accidents Scenarios Based on Autonomous Vehicle Functional Safety Systems (자율주행차량 기능안전 시스템 기반 사고 시나리오 도출)

  • Heesoo Kim;Yongsik You;Hyorim Han;Min-je Cho;Tai-jin Song
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.264-283
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    • 2023
  • Unlike conventional vehicle traffic accidents, autonomous vehicles traffic accidents can be caused by various factors, including technical problems, the environment, and driver interaction. With the future advances in autonomous driving technology, new issues are expected to emerge in addition to the existing accident causes, and various scenario-based approaches are needed to respond to them. This study developed autonomous vehicle traffic accident scenarios by collecting autonomous driving accident reports, CA DMV collision reports, autonomous driving mode disengagement reports, and autonomous driving actual accident videos. The scenarios were derived based on the functional safety system failure modes of ISO 26262 and attempted to reflect the various issues of autonomous driving functions. The autonomous vehicle scenarios derived through this study are expected to play an essential role in preventing and preparing for various autonomous vehicle traffic accidents in the future and improving the safety of autonomous driving technology.