Making Sense of the Big Data That is Your Road/Street Network


Session Overview

A municipal road network is complex. Not just in the quantity of streets and intersections, but of all the information that “hangs off” every section of road. Some are obvious such as the pavement type, or light poles. Others are less obvious such as the median barrier, or culvert headwalls. Some are even invisible like storm sewer pipes or traffic sensors. Add onto that a plethora of intangible pieces of data like collision history, pavement condition, speed limits, 911 address points, emergency detour routes, and the list goes on and on.

Much of the data that comprises this information is also highly complex and it’s bound to only get deeper with the advent and increased adoption of small, cheap and long-lasting sensors that can give second-by-second light intensity levels, or asphalt moisture content readings or even instantaneous loads by passing vehicles.

Road authorities will be collecting data faster than they can interpret and make use of it, if they aren’t there already. A robust foundation is needed to serve as a system of record which can store the countless different types of data, provide a transparent linkage to various business systems in the environment, give non-GIS and non-road network professionals access to read, edit and input data, and most importantly make sense of it all so they can get better at delivering their service that we all depend on as users of the road network.

This webinar will investigate how a spatially and linearly enabled road management system can accommodate all of these requirements while making road network information accessible to more people in the environment. We will also investigate how spatial Business Intelligence tools can interpret the data to gain useful and actionable insight into a highly complex road network.

Key Points

  • The use of Esri Roads & Highways as a Linear Referencing System of record for municipal road network data
  • Web-based interaction with road network data by users who are not GIS or LRS experts.
  • Using Esri Insights to report on road network data using Dynamic Segmentation rather than traditional fixed segmentation.
  • A discussion on the future of data collection for road networks and how the internet of things an impact the management of a municipal road network.

Intended Audience

Municipal government staff who either contribute to or consume the data that comprises the municipal road network. This includes not only the road data managers (IT), but also every business unit that attaches their data to the road network; traffic, pavement management, operations & maintenance, safety, capital projects, etc.

Presented by
Arif Rafiq

Arif K. Rafiq, Transportation Industry Manager

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Tue, Oct. 17, 2017, 1 p.m. - 2 p.m. Eastern Time
Tue, Oct. 17, 2017, 1 p.m. - 2 p.m. Eastern Time
Delivery Language
Local Government
Roads & Highways