국토안전관리원에서 자분탐상 시험을 한 데이터입니다. 시설물 구분은 상하수도와 교량이며 시설물 종류는 광역상수도, 도로교량, 철도교량 입니다. 자분탐상 시험판독내용과 용접형태, 검사길이의 결과값을 제공드립니다.

- 전국의 고속도로, 국도, 지방도 4.5만KM에 존재하는 도로시설물 인식 데이터 구축 -도로안전시설물(16종), 도로관리시설물(8종), 교통관리시설물(8종), 기타(2종)

서울대학교 연구소 차세대융합기술연구원 판교제로시티 자율주행 데이터 조회 서비스 중 데이터취득차량 센서 데이터 조회입니다. 자율주행 서비스 개발의 기반 마련을 위해 판교제로시티에서 수집, 가공한 자율주행 인프라 및 실증 데이터를 조회 및 제공합니다. *참고자료 및 데이터 다운로드 : FILE탭

서울대학교 연구소 차세대융합기술연구원 판교제로시티 자율주행 데이터 조회 서비스 중 데이터취득차량 센서 데이터 조회입니다.자율주행 서비스 개발의 기반 마련을 위해 판교제로시티에서 수집, 가공한 자율주행 인프라 및 실증 데이터를 조회 및 제공합니다.

서울대학교 연구소 차세대융합기술연구원 판교제로시티 자율주행 데이터 조회 서비스 중 도로노면 감시정보 조회입니다. 자율주행 서비스 개발의 기반 마련을 위해 판교제로시티에서 수집, 가공한 자율주행 인프라 및 실증 데이터를 조회 및 제공합니다. *참고자료 및 데이터 다운로드 : FILE탭

국토안전관리원 특수시설관리실에서 유지관리 중인 특수교량 중 현수교 및 아치교 등에 설치된 각종 계측센서 설치 현황을 제공합니다.

The goal of the SHRP 2 Project L33 Validation of Urban Freeway Models was to assess and enhance the predictive travel time reliability models developed in the SHRP 2 Project L03, Analytic Procedures for Determining the Impacts of Reliability Mitigation Strategies. SHRP 2 Project L03, which concluded in 2010, developed two categories of reliability models to be used for the estimation or prediction of travel time reliability within planning, programming, and systems management contexts: data-rich and data-poor models. The objectives of Project L33 were the following: • The first was to validate the most important models – the “Data Poor” and “Data Rich” models with new datasets. • The second objective was to assess the validation outcomes to recommend potential enhancements. • The third was to explore enhancements and develop a final set of predictive equations. • The fourth was to validate the enhanced models. • The last was to develop a clear set of application guidelines for practitioner use of the project outputs. The datasets in these 5 zip files are in support of SHRP 2 Report S2-L33-RW-1, Validation of Urban Freeway Models, https://rosap.ntl.bts.gov/view/dot/3604 The 5 zip files contain a total of 60 comma separated value (.csv) files. The compressed zip files total 3.8 GB in size. The files have been uploaded as-is; no further documentation was supplied. These files can be unzipped using any zip compression/decompression software. The files can be read in any simple text editor. [software requirements] Note: Data files larger than 1GB each. Direct data download links: L03-01: https://doi.org/10.21949/1500858 L03-02: https://doi.org/10.21949/1500868 L03-03: https://doi.org/10.21949/1500869 L03-04: https://doi.org/10.21949/1500870 L03-05: https://doi.org/10.21949/1500871

The objective of this project was to develop system designs for programs to monitor travel time reliability and to prepare a guidebook that practitioners and others can use to design, build, operate, and maintain such systems. Generally, such travel time reliability monitoring systems are built on top of existing traffic monitoring systems. The focus of this project was on travel time reliability. The data from the monitoring systems developed in this project – from both public and private sources –included, wherever cost-effective, information on the seven sources of non-recurring congestion. This data was used to construct performance measures or to perform various types of analyses useful for operations management as well as performance measurement, planning, and programming. The work on Project L02 began with a research phase. The primary results of Project L02 research were a guidebook and a final report. An additional contribution of the research showed that it may be possible to add the variability of travel time from one segment to another. Another contribution of the research was the development of a queuing point model, an application that analytically determines travel time reliability over a freeway segment. The supporting zip file contains case study datasets for SHRP 2 Report S2-L02-RR1: Establishing Monitoring Programs for Travel Time Reliability, https://rosap.ntl.bts.gov/view/dot/4039 The files are in comma separated value (.csv) format. The compressed zip file is 84.15 MB. These files can be unzipped using any zip compression/decompression software. The .csv files can be read with any basic text editor.

경상남도 도로대장전산화 시스템 데이터의 중장기개방계획에 따른 데이터입니다. 시스템 상에서의 기타로 분류된 정보를 가지고 있으며, 도로대장의 접도구역 데이터를 포함하고있습니다.