Transportation Data NOW: Expanded Coverage, AI & Data Science, and New Real-Time Monitoring

The transportation Big Data revolution has transformed how agencies and consultants measure the way people move, ensuring always-on access to all roads.

But many agencies and firms are learning that Big Data is not a monolith. Too much data, disorganized data, or imprecise data is no more helpful than standalone traditional counters. It’s critical to pull in the right metrics and insights to speed up projects and make it easier to build critical infrastructure.

Join the webinar as we discuss:

Analyzing five years of data to reveal up-to-date travel patterns and evaluate infrastructure
Applications for SteetLight's real-time data in transportation
Real-world client examples of how Big Data supports large-scale transportation projects
How StreetLight rigorously develops and validates its machine learning engine

TransDataLandscape_Webinar_Laptop_1304x708

“We no longer have to make assumptions in people’s trip activity and travel behaviors. Now we have data to support our research and it separates fact from fiction.”

PANINI CHOWDHURY

City of Pittsburgh

Panelist Bios

Panini Chowdhury is a Transportation Planning Manager for the City of Pittsburgh and a certified transportation planning & safety professional. He likes to describe himself as a "hawker,” selling the dream of dignity in human mobility, transportation equity, and a strong public transit-dominated transportation future. His professional expertise includes traffic safety, transportation planning, transit accessibility, geospatial and statistical analysis, and travel demand modeling.

Kevin Hathaway is the Vice President of Professional Services at StreetLight, where he directs StreetLight’s project and research efforts applying big data methodologies across planning, operations, and new infrastructure problems. Kevin is a trained analytics and transportation software leader with 25 years of experience in large-scale transportation, infrastructure, environment, health, and housing problems with technical specialization in modeling, market research, and big data approaches.

Nancy Clarke is the Lead Data Scientist at StreetLight, where she applies machine learning algorithms and rigorous statistical analysis to develop new products and improve the accuracy and quality of StreetLight’s existing ones. Additionally, Nancy advises on methods for StreetLight’s custom Services projects and Advanced Research team. Nancy holds a PhD in statistics from University College Dublin and brings over 10 years of experience as a data scientist and statistical consultant.

Get accurate, actionable transportation insights from your desktop

Analyze five years of historically comparable data to reveal the most important changes in how people move.

Use purpose-built tools and real-time data to fast track project work, target the most impactful investments, and lower costs.

Ensure confidence with the public and leadership by leveraging with the most widely adopted empirical data provider.