Invention Grant
US08855900B2 System and method for self-optimizing traffic flow using shared vehicle information
有权
使用共享车辆信息自动优化交通流量的系统和方法
- Patent Title: System and method for self-optimizing traffic flow using shared vehicle information
- Patent Title (中): 使用共享车辆信息自动优化交通流量的系统和方法
-
Application No.: US13177366Application Date: 2011-07-06
-
Publication No.: US08855900B2Publication Date: 2014-10-07
- Inventor: David B. Lection , Eric L. Masselle
- Applicant: David B. Lection , Eric L. Masselle
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Cahn & Samuels, LLP
- Main IPC: G08G1/01
- IPC: G08G1/01 ; G08G1/07 ; G08G1/08 ; G08G1/081

Abstract:
A system and method for self-optimizing traffic flow using shared vehicle information that utilizes multiple controllers in dynamic communication to optimize the flow of traffic. The system and method utilizes one or more traffic synchronization controllers (TSCs) (receivers) that receive information from one or more vehicle based transmitters called vehicle information agents (VIAs) and/or a network of traffic control devices (TCDs) associated with the traffic synchronization controllers to determine a variety of information related to traffic within a geographic region, including volume, speed, destination, intended route of the vehicle, as well as other vehicle related information, in order to determine the optimal flow of traffic within the region. The system and method then transmits traffic control signals to the various traffic control devices within the region or adjacent regions in order to optimally control the flow of traffic. The system and method may also share information amongst traffic synchronization controllers within the network in order to optimize the flow of traffic over a larger region.
Public/Granted literature
- US20130013179A1 System and Method for Self-Optimizing Traffic Flow Using Shared Vehicle Information Public/Granted day:2013-01-10
Information query
IPC分类: