Browse Prior Art Database

Method and System to Dynamically Adjust Traffic Systems to Improve Traffic Flow for Events

IP.com Disclosure Number: IPCOM000216208D
Publication Date: 2012-Mar-25
Document File: 2 page(s) / 49K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method for forecasting large changes in traffic due to major events (concerts, sporting events, etc.) using numerous data sources to project / predict the direction where people will be coming from and to (advanced ticket sales, demographics / census data, social media discussions, etc.) and dynamically making adjustments to traffic control systems (i.e. direction of lanes, timing of lights, requirement of tolls, etc.) to decrease traffic congestion and improve the effectiveness of getting people in and out of an event in an efficient manner.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 52% of the total text.

Page 01 of 2

Method and System to Dynamically Adjust Traffic Systems to Improve Traffic Flow for Events

Globally there is an increasing demand / need to continue to improve the efficiency and safety oftransportation. With increasing population and urbanization of different areas around the globe, many governments (local, state, and federal) are actively looking for ways to face these challenges and meet the demands in an economical and smarter way by using intelligence and analytics to improve how the infrastructure that is already in place works. According to an IBM* study on Intelligent Transport Services and Systems, "Effective transport is central to a city's economic competitiveness, and severe congestion is known to have an equally severe economic cost, estimated as high as between 1 and 3 percent of GDP in developed and developing countries." Special events are a huge driver of tourism and revenue for local governments, so their ability to manage and accommodate large venues or events can greatly impact their ability to attract in-demand events.

Disclosed is a method for forecasting large changes in traffic due to major events (concerts, sporting events, etc.) using numerous data sources to project / predict the direction where people will be coming from and to (advanced ticket sales, demographics / census data, social media discussions, etc.) and dynamically making adjustments to traffic control systems (i.e. direction of lanes, timing of lights, requirement of tolls, etc.) to decrease traffic congestion and improve the effectiveness of getting people in and out of an event in an efficient manner.

Scenario:

ABC City has a population of approximately 80,000 people; however, they are planning a special event that will potentially attract an additional 50,000 people to their city. The city officials have no way to tell where the people are coming from or what roads they are most likely to take so that they can plan and change their traffic patterns to accommodate for this event. To manually determine and make these changes would be a significant cost.

The core idea is to provide forecasting of large changes in traffic due to major events (concerts, sporting events, etc.) using data from advanced ticket sales to project the direction from where people will be coming from and to dynamically making adjustments to traffic control systems (i.e. direction of lanes, timing of lights, requirement of tolls, etc.) to decrease traffic congestion and improve the effectiveness of getting people in and out of an event in an efficient manner. The value and novelty of this invention is in its ability to dynamically make adjustments to the Traffic Control System to allow local governments to effectively manage in an automated, dynamic, and economical way for large events that are outside of...