NEAR REAL-TIME TRAFFIC ROUTING

Patent №

US 8,103,435

Granted

2012-01-24

Filed 2008

Owner

GEORGE MASON UNIVERSITY

+1 more

Lab

AI components

3

ml · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12181249

A near real-time physical transportation network routing system comprising: a traffic simulation computing grid and a dynamic traffic routing service computing grid. The traffic simulator produces traffic network travel time predictions for a physical transportation network using a traffic simulation model and common input data. The physical transportation network is divided into a multiple sections. Each section has a primary zone and a buffer zone. The traffic simulation computing grid includes multiple of traffic simulation computing nodes. The common input data includes static network characteristics, an origin-destination data table, dynamic traffic information data and historical traffic data. The dynamic traffic routing service computing grid includes multiple dynamic traffic routing computing nodes and generates traffic route(s) using the traffic network travel time predictions.

AI classification

Planning0.83
Machine learning0.83
Knowledge representation0.59
AI hardware0.10
Vision0.03
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

GEORGE MASON UNIVERSITY

assignment · 272990020

GEORGE MASON INTELLECTUAL PROPERTIES, INC.

assignment · 273000420

Assignors

YANG, CHAOWEI, CAO, YING, XIE, JIBO, ZHOU, BIN

On an employer assignment, the assignors are typically the inventors.

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