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summary:
extent: [[-74.9831399999999,39.2960400000001],[-74.3582499999999,39.702571248]]
accessInformation: SOUTH JERSEY TRANSPORTATION PLANNING ORGANIZATION (SJTPO) 782 South Brewster Road, Unit B6 Vineland, New Jersey 08361 P: 856-794-1941 F: 856-794-2549 www.sjtpo.org
thumbnail: thumbnail/thumbnail.png
maxScale: 1.7976931348623157E308
typeKeywords: ["ArcGIS","ArcGIS Server","Data","Feature Access","Feature Service","providerSDS","Service"]
description: <div style='text-align:Left;'><div><div><p style='font-weight:bold;margin:0 0 0 0;'><span /></p><p style='font-weight:bold;margin:0 0 0 0;'><span>Project Background </span></p><p style='margin:0 0 0 0;'><span>The South Jersey Transportation Planning Organization (SJTPO) is the Metropolitan Planning Organization (MPO) covering Atlantic, Cape May, Cumberland, and Salem Counties in southern New Jersey. Formed in 1993, SJTPO serves as a technical resource, provides access to funding, and works to provide a regional approach to address transportation planning and engineering issues.</span></p><p style='margin:0 0 0 0;'><span /></p><p style='margin:0 0 0 0;'><span>On this project Advanced Infrastructure Design, Inc. (AID) collected pavement condition within SJTPO’s constituent counties to make informed programming decisions and advance pavement preservation techniques. This data was collected on approximately 1,491 centerline miles of roadways in the SJTPO region across Atlantic, Cape May, Cumberland, and Salem Counties.</span></p><p style='font-weight:bold;margin:0 0 0 0;'><span /></p><p style='font-weight:bold;margin:0 0 0 0;'><span>Data Collection</span></p><p style='margin:0 0 0 0;'><span>AID collected all pavement condition data simultaneously at posted roadway speeds without interruption to traffic using AID’s Integrated Testing Vehicle (ITV). Data collected with this vehicle included: high-resolution video images; continuous IRI, rut depth, faulting, and surface distresses such as cracking, faulting etc. using a Laser Crack Measurement System (LCMS); and, continuous Ground Penetrating Radar (GPR) data that can be used to estimate pavement thickness.</span></p><p style='margin:0 0 0 0;'><span>All this information was recorded with GPS coordinates (latitude and longitude) having sub-centimeter accuracy to allow for easy integration with the counties’ geodatabases. AID’s ITV is also equipped with an Applanix POS LV 420 unit to enhance its GPS capabilities. This is one of the most reliable and advanced precision locating sensing systems that will enable our data collection to be performed reliably and accurately in the most difficult GNSS/GPS conditions to produce sub-centimeter accuracy.</span></p><p style='margin:0 0 0 0;'><span /></p><p style='margin:0 0 0 0;'><span>Data collection was performed between </span><span style='font-weight:bold;'>09/15/2018 and 01/08/2019 </span><span>and the total mileage of the network collected was 1,491 centerline miles, approximately divided among the four constituent counties as follows:</span></p><p style='margin:0 0 0 0;'><span /></p><ul><li><p><span>373 miles in Atlantic County</span></p></li><li><p><span>213 miles in Cape May County</span></p></li><li><p><span>542 miles in Cumberland County</span></p></li><li><p><span>363 miles in Salem County</span></p></li></ul><p style='margin:0 0 0 0;'><span /></p><p style='margin:0 0 0 0;'><span>It should be noted that data was collected within County roads as follows:</span></p><p style='margin:0 0 0 0;'><span /></p><ul><li><p><span>On two-lane roadways, data was collected in one travel direction with AID’s ITV on each roadway segment.</span></p></li><li><p><span>On multi-lane roadways, data was collected within the most heavily used lane (i.e., generally the right lane) in each travel direction. </span></p></li><li><p><span>Unpaved/dirt roads were not investigated.</span></p></li></ul></div></div></div>
licenseInfo: <div style='text-align:Left;'><div><div><p><span>Please contact the SOUTH JERSEY TRANSPORTATION PLANNING ORGANIZATION (SJTPO).</span></p></div></div></div>
catalogPath:
title: AtlanticCo_FullDataset_2019_06_19
type: Feature Service
url:
tags: ["external","sample","data","road","pavement"]
culture: en-US
portalUrl:
name: AtlanticCo_FullDataset_2019_06_19
guid: D9BF916C-1057-41F6-8BEC-76A0BFA0B561
minScale: 0
spatialReference: GCS_WGS_1984