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Toolbox for Urban Mobility Simulation with

geo-tagged Tweets Data

Wei Lu

Geographic Information Science and Technology group

Oak Ridge National Laboratory

March 13, 2015

Managed by UT-Battelle for the Department of Energy

Urban Mobility: Transportation Systems

Washington, DC (2011)

Hurricane Rita (2005)

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TUMS: Urban Mobility Simulations

The major features of the TUMS are:

One framework for global scale

Megacity level large-scale microscopic traffic simulation

Flexibility for rapid local adoptions

Open-source based platform

Service oriented architecture

Vehicle and link based visualization

Extensibility to multiple applications

System Architecture

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Data Processing

LandScanTM and OpenStreetMap

30m * 30m for US & 1km * 1km for global

Daytime & Nighttime

High resolution street networks

Semi-automatic data integration

1° by 1° for population and streets data

Traffic Engineering Editing

Data for multiple traffic simulation tools

TRANSIMS (Cellular automata model)

MITSIM (Time based model)

MATSim (Event based model)

Data Processing Example: Alexandria, VA

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High Resolution Traffic Assignment

Traffic Analysis Zones (62) LandScan USA Population Cells - Daytime (5657)

Spatial Resolution Difference

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High Resolution Traffic Assignment

LPC Daytime (5657) LPC Nighttime (4522)

Temporal Resolution Difference

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Traffic Modeling

Traffic Simulation Models:

Travel Demand modeling

# of evacuation people & departure time

Weibull distribution

Trip Distribution Modeling

Origin-Destination Matrix

Super Node Trip Distribution Algorithm

Traffic Assignment Modeling

Activity-based traffic assignment with more accurate representation of vehicles accessing problems

High resolution and large scale traffic simulations demand HPC resources.

Current microscopic simulation time ranges from hours to days depending on the network sizes.

Simulation Demo for Alexandria, VA

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Macroscopic Visualization

Link-based visualization provides network performance analysis for planning

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Microscopic Visualization

Vehicle-based visualization helps monitoring driving behavior and

simulating automated vehicle systems (Live Demo)

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Why we use social media data?

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Twitter APIs

Fabric

Twitter for Websites

Cards

OAuth!

REST APIs

Streaming APIs!

Ads APIs

MoPub

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Google Maps APIs

Web based APIs

• Basics

• Events

• Controls

• Drawing on the Map

• Layers Heatmaps

Traffic lays

• MapTypes

• ……

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Node.js

What is node.js?

Node.js is a platform built on Chrome’s

JavaScript runtime for easily building fast,

scalable network applications.

How does node.js work?

Node.js uses non-blocking, event-driven

I/O to remain lightweight and efficient in

the face of data intensive real-time

applications that run across distributed

devices.

NPM: Node Package Manager

Express, socket.io, twitter

Who are using node.js? Groupon, SAP, LinkedIn, Microsoft, Yahoo,

Walmart, PayPal, etc.

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Traffic Model Improvement

Social Media data can also improve the model accuracy. (Live demo)

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Thank you! Questions?

Welcome to work with us.

luw4@ornl.gov