Method to reduce automobile traffic in a city or in a large city

• US 20150187211A1
• Filed: 10/06/2014
• Published: 07/02/2015
• Est. Priority Date: 12/27/2013
• Status: Abandoned Application

• Current Assignee: Victor C. Hahn
• Original Assignee: Victor C. Hahn
• Inventors: Hahn, Victor C.
• Application Number:
  US14/121,673
• Publication Number:
  US 20150187211A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G08G 1/012 from other sources than vehicle or roadside beacons, e.g. mobile networks
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0145 for active traffic flow control

Abstract

A method for reducing automobile traffic in a city or in a large city by estimating the Final Destination of commuters that work in the city, as well as by estimating the path (routes) that the commuters take regularly to their Final Destination, by using a computer card to input traffic related data, and a computer to manipulate and analyzed the data from the computer card.

Claims

1. , A method for reducing automobile traffic in a city or in a large city by estimating the Final Destination (FD) of commuters, and some of the paths/routes that commuters take regularly to their Final Destination;

the method comprising;

(1) a Computer having a computer program and memory storage, and

(2) a Computer readable Card/Means, and

(3) a Booklet that has instructions and traffic related data, wherein, the commuters input traffic related data into the computer readable card/means, the computer reads the computer readable card/means to produce traffic related results for traffic analysis,

2. , The method according to claim 1, wherein, the instructions in the booklet guides the commuters in how to input the traffic related data into the computer readable card/means,

3. , The method according to claim 1, wherein, the traffic related data in the booklet has a map of the city or of the large city with relevant roads, intersections, highways,

4. , The method according to claim 3, wherein, the traffic related data further includes the location of companies and of housing areas,

5. , The method according to claim 4, wherein, the traffic related data further includes the zip codes of the city or of the large city,

6. , The method according to claim 1, wherein, the booklet can have Mass Transportation Systems (MTS) traffic related data of the city, like of the Metro System and of the Bus System, wherein, the MTS can further include all Metro Lines, Metro Stations, and the Bus System can have all Bus Routes and Buss stations,

7. , The method according to claim 6. wherein, the instructions in the booklet can have instructions to guide the MTS in how to input traffic related data into the computer readable card/means,

8. , The method according to claim 3, wherein, the computer readable card/means can have a code or more than one code,

9. , A COMPUTER method for gathering and for analyzing traffic-related data from commuters in a city for traffic analysis, inferences, and for estimating the Final Destination of commuters and some of the path/routes that the commuters take from a Point of Origin (PofO) to their Final Destination (FD);

the method comprising;

(1) a computer having a computer program and memory storage, and

(2) a computer readable card/means, and

(3) a booklet having traffic related data, wherein, the commuters can input traffic related data into the computer readable card/means, the computer reads the data in the computer readable card/means to produce traffic related results for traffic analysis, wherein, the traffic related results can further estimate some of the path/routes traveled by the commuters, and their final destination,

10. , The method according to claim 9, wherein, the traffic related data in the booklet has a map of the city with relevant roads, intersections, highways,

11. , The method according to claim 10, wherein, the traffic related data further includes the location of companies and of housing areas ,

12. , The method according to claim 10, wherein, the booklet can also have Mass Transportation Systems (MTS) traffic related data of the city, like of the Metro System and of the Bus System,

13. , The method according to claim 10, wherein, the traffic related data further includes the zip codes of the city.