OPTIMIZATION METHOD IN A VEHICLE-TO-VEHICLE COMMUNICATION SYSTEM

• US 20130282357A1
• Filed: 10/02/2012
• Published: 10/24/2013
• Est. Priority Date: 04/24/2012
• Status: Abandoned Application

• Current Assignee: Zetta Research and Development LLC - FORC Series
• Original Assignee: Zetta Research and Development LLC - FORC Series
• Inventors: Rubin, Kim T., Betts-Lacroix, Jonathan
• Application Number:
  US13/633,561
• Publication Number:
  US 20130282357A1
• Time in Patent Office: Days
• US Class Current: 703/22
• CPC Class Codes: B60R 2325/205 Mobile phones
• CPC Class Codes: B60R 25/33 of global position, e.g. by providing GPS coordinates
• CPC Class Codes: B60W 10/06 including control of combustion engines
• CPC Class Codes: B60W 10/18 including control of braking systems
• CPC Class Codes: B60W 10/20 including control of steering systems
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 50/14 Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: G01C 21/26 specially adapted for navigation in a road network
• CPC Class Codes: G01C 21/3658 Lane guidance
• CPC Class Codes: G01C 21/3822 Road feature data, e.g. slope data
• CPC Class Codes: G01S 5/0027 of actual mobile position, i.e. position determined on mobile
• CPC Class Codes: G08G 1/09 Arrangements for giving variable traffic instructions railroad crossing signals B61L; reflectors E01F, G08B; indicating arrangements for variable information by selection or combination of individual elements G09F9/00
• CPC Class Codes: G08G 1/096791 where the origin of the information is another vehicle
• CPC Class Codes: G08G 1/0969 having a display in the form of a map
• CPC Class Codes: G08G 1/142 external to the vehicles
• CPC Class Codes: G08G 1/16 Anti-collision systems road vehicle drive control systems for predicting or avoiding probable or impending collision otherwise than by control of a particular sub-unit B60W30/08
• CPC Class Codes: G08G 1/161 Decentralised systems, e.g. inter-vehicle communication
• CPC Class Codes: G08G 1/163 involving continuous checking
• CPC Class Codes: G08G 1/166 for active traffic, e.g. moving vehicles, pedestrians, bikes
• CPC Class Codes: G08G 1/167 Driving aids for lane monitoring, lane changing, e.g. blind spot detection
• CPC Class Codes: G08G 1/20 : Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
• CPC Class Codes: G08G 9/02 : Anti-collision systems
• CPC Class Codes: H04J 3/1694 : Allocation of channels in TDM/TDMA networks, e.g. distributed multiplexers Passive Optical Networks H04Q11/0062
• CPC Class Codes: H04L 5/0091 : Signaling for the administration of the divided path
• CPC Class Codes: H04W 4/027 : using movement velocity, acceleration information
• CPC Class Codes: H04W 4/06 : Selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS]; Services to user groups; One-way selective calling services
• CPC Class Codes: H04W 4/46 : for vehicle-to-vehicle communication [V2V]
• CPC Class Codes: H04W 4/48 : for in-vehicle communication
• CPC Class Codes: H04W 56/0035 : detecting errors in frequency or phase
• CPC Class Codes: H04W 64/006 : with additional information processing, e.g. for direction or speed determination
• CPC Class Codes: H04W 72/0446 : Resources in time domain, e.g. slots or frames
• CPC Class Codes: H04W 72/30 : Resource management for broadcast services
• CPC Class Codes: H04W 74/0816 : with collision avoidance
• CPC Class Codes: H04W 76/14 : Direct-mode setup
• CPC Class Codes: H04W 76/40 : for selective distribution or broadcast

Abstract

A method of optimizing a vehicle-to-vehicle communication system is described. One embodiment uses a set of desired and defined metrics of success, combined with pre-recorded operating histories, combined with a series of simulations to optimize certain specific parameters in the vehicle-to-vehicle communication protocol.

Claims

1. A method of optimizing a V2V communication system comprising the steps of:

implementing a proposed V2V algorithm in software, “

the simulation software,”

wherein the V2V algorithm comprises one or more variables to optimize;

recording in a set of vehicles V2V operating data that is used in the proposed V2V algorithm;

defining a set of desired metrics;

setting the one or more variables to first starting values;

placing the recorded V2V operating data in the simulation software running the simulation;

recording the final values of the desired metrics from the results of the simulation;

altering the first starting value of one or more variables to a second starting value;

repeating the simulation with the altered variable values;

comparing the values of the desired metrics from the simulation with the values of the desired metrics from a previous simulation;

repeating the simulation with different starting values;

choosing from among the tested starting values those values that provide the most desirable metric values;

2. A method of optimizing a V2V communication system of claim 1 further comprising the steps of:

creating a Monte Carlo simulation consistent with the recorded V2V operating data;

running the variable value simulation steps in claim 1 additionally using data from the Monte Carlo simulation.

3. A method of optimizing a V2V communication system of claim 1 further comprising the step of:

setting the desired metrics to be;

(i) lowest number of collisions;

(ii) lowest number of near collisions; and

(iii) lowest number of driver warnings.