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INDOT Traffic Count Database System (TCDS). The Indiana Department of Transportation (INDOT) maintains an online database of traffic counts, which includes traffic counts the Indianapolis MPO has completed/contracted for in the past few years. The map is interactive and they provide search options.
TRAFFIC_COUNTS_INDOTMODEL_IN.SHP is a line shapefile that shows Annual Average Daily Traffic Counts on Indiana roads. The data were derived from pre-existing INDOT basemaps and databases. The data were compiled by Indiana GIS Department of Transportation (INDOT), Road Inventory Section. The Data in the attribute table are dated for the year 2014.
Indiana Annual Average Daily Traffic Counts created as an ESRI line shapefile consisting of a Feature Line geometry. The data set was compiled by Road Inventory of the Indiana GIS Department of Transportation (INDOT) . Dataset is classified as sde Feature Class. The Feature Class is projected Coordinate System: NAD 1983, UTM, Zone 16 N. The Projections is Transverse Mercator.Each road segment contains the inventory event of Annual Average Daily Traffic Counts dated for the year 2014
Traffic Counts, 2014 (1:24,000) - Shows traffic counts (average annual daily traffic, factored to year 2014) for roadways in Indiana. The data set was compiled by Road Inventory of the Indiana GIS Department of Transportation (INDOT). Each road segment contains the inventory event of Annual Average Daily Traffic Counts dated for the year 2014.Download Esri shapefile: Interstates_Traffic_Counts_INDOT.zipAccess FGDC metadata: Interstates_Traffic_Counts_INDOT.html
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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This map data layer contains intersection points with traffic signals inside the City of Bloomington, Indiana. It is a subset of the Intersections data set. It also contains signals outside the City of Bloomington and inside the city that are maintained by other agencies. The data set includes traditional traffic signals along with pedestrian hawk signals. Information on signals not maintained by the City of Bloomington may not be accurate or maintained as timely as City managed intersections.
Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
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This video explains and illustrates the integration of an INDOT traffic camera with floating car data obtained from connected vehicles.
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Peru Railway Passenger Traffic: Central Indiana: Passengers data was reported at 1.000 Person th in 2017. This records a decrease from the previous number of 2.000 Person th for 2016. Peru Railway Passenger Traffic: Central Indiana: Passengers data is updated yearly, averaging 3.000 Person th from Dec 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 9.000 Person th in 2002 and a record low of 1.000 Person th in 2017. Peru Railway Passenger Traffic: Central Indiana: Passengers data remains active status in CEIC and is reported by Ministry of Transports and Communications. The data is categorized under Global Database’s Peru – Table PE.TA002: Railway Traffic.
From the spreadsheet entitled "Travel by City, County, and Functional Class" INDOT, through its Traffic Statistics Section, collects, summarizes, and interprets information on the traffic traveling on the state's highway system. The data is used to assess transportation needs, system performance and to develop highway planning and programming recommendations. Traffic data also plays a very important role in route planning and in the design of highway projects.
Comprehensive dataset of 3 Traffic police stations in Indiana, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
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A collection of Web (HTTP) requests for the month of November 2009 originating from Indiana Univesity.
This dataset was used in the Data Visualization Challenge at WebSci 2014 in Bloomington, Indiana. It is a sample of the larger Indiana University Click dataset.
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Peru Railway Passenger Traffic: Central Indiana: Revenue data was reported at 771.000 PEN th in 2016. This records an increase from the previous number of 580.000 PEN th for 2015. Peru Railway Passenger Traffic: Central Indiana: Revenue data is updated yearly, averaging 464.500 PEN th from Dec 1999 (Median) to 2016, with 18 observations. The data reached an all-time high of 831.000 PEN th in 2008 and a record low of 0.000 PEN th in 2000. Peru Railway Passenger Traffic: Central Indiana: Revenue data remains active status in CEIC and is reported by Ministry of Transports and Communications. The data is categorized under Global Database’s Peru – Table PE.TA002: Railway Traffic.
Rail System - Active and Abandoned (INDOT), 2005 (1:1,200) - Shows all active and abandoned rail lines in Indiana. The attribute titled''Status' indicates whether the rail line is abandoned ( 'A') or traffic is present ('T'). The data were derived from preexisting INDOT basemap, the State of Indiana 2005 Rail System Map, and a old Indiana Rail System Map (showing abandoned rail lines). Data acquired between 1998 and 2003. Data are aligned to digital orthoquarterquads (DOQQs) of the U.S. Geological Survey. Provided by personnel of INDOT, Business Information and Technology Systems, GIS Mapping.
This research program was undertaken in Indiana to evaluate the effectiveness of legislation that prohibited 'happy hours,' the sale of alcoholic beverages at reduced prices during specified times. The happy hour ban sought to curb abusive drinking that can occur when alcoholic beverages are served at significantly reduced prices for a limited time only. The goal of the data collection was to determine whether any reduction in automobile accidents could be attributed to the ban on happy hours. Researchers used an interrupted time-series design to observe trends over time. Data used in this evaluation were extracted from the Accident Statistical Master Tapes for 1983 through 1986 for the state of Indiana, which include annual compilations of all accidents. Variables measure the number of accidents during the specified times. The first data file has as its unit of analysis weeks, defined as beginning Monday and ending on Friday. The second data file has as its unit of analysis bi-weekly periods.
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United States Port Congestion: Calls: Indiana Harbor: All data was reported at 3.000 Unit in 05 May 2025. This records a decrease from the previous number of 4.000 Unit for 28 Apr 2025. United States Port Congestion: Calls: Indiana Harbor: All data is updated weekly, averaging 4.000 Unit from Mar 2022 (Median) to 05 May 2025, with 135 observations. The data reached an all-time high of 10.000 Unit in 07 Aug 2023 and a record low of 1.000 Unit in 02 Dec 2024. United States Port Congestion: Calls: Indiana Harbor: All data remains active status in CEIC and is reported by Marine Traffic. The data is categorized under Global Database’s United States – Table US.MT.PCN: Port Congestion: Calls: by Port and Vessel Type.
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铁路旅客运量:印第安纳中部:收入在12-01-2016达771.000千秘鲁索尔,相较于12-01-2015的580.000千秘鲁索尔有所增长。铁路旅客运量:印第安纳中部:收入数据按年更新,12-01-1999至12-01-2016期间平均值为464.500千秘鲁索尔,共18份观测结果。该数据的历史最高值出现于12-01-2008,达831.000千秘鲁索尔,而历史最低值则出现于12-01-2000,为0.000千秘鲁索尔。CEIC提供的铁路旅客运量:印第安纳中部:收入数据处于定期更新的状态,数据来源于Ministerio de Transportes y Comunicaciones,数据归类于Global Database的秘鲁 – 表PE.TA002:铁路运量。
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铁路旅客运量:印第安纳中部:旅客在12-01-2017达1.000千人,相较于12-01-2016的2.000千人有所下降。铁路旅客运量:印第安纳中部:旅客数据按年更新,12-01-2002至12-01-2017期间平均值为3.000千人,共16份观测结果。该数据的历史最高值出现于12-01-2002,达9.000千人,而历史最低值则出现于12-01-2017,为1.000千人。CEIC提供的铁路旅客运量:印第安纳中部:旅客数据处于定期更新的状态,数据来源于Ministerio de Transportes y Comunicaciones,数据归类于Global Database的秘鲁 – 表PE.TA002:铁路运量。
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INDOT Traffic Count Database System (TCDS). The Indiana Department of Transportation (INDOT) maintains an online database of traffic counts, which includes traffic counts the Indianapolis MPO has completed/contracted for in the past few years. The map is interactive and they provide search options.