Obviousness — US Patent 9792361

Obviousness Analysis of U.S. Patent 9,792,361

Date of Analysis: May 9, 2026
Priority Date of Patent: July 29, 2008
Standard: 35 U.S.C. § 103 (Pre-AIA)

An analysis of prior art existing before the July 29, 2008, priority date of U.S. Patent 9,792,361 ('361 patent) suggests that the independent claims of the patent would have been obvious to a Person Having Ordinary Skill in the Art (PHOSITA). A PHOSITA at the time would have had a degree in computer science or a related field, with experience in developing mobile, location-aware, and server-based applications.

The core concepts of the '361 patent involve using a GPS-enabled mobile device to send a user's location and input to a central database to both retrieve and contribute information about roadway conditions, with the returned information being ranked. By 2008, these individual concepts were well-established, and the motivation to combine them was driven by the clear market demand for real-time, user-generated traffic and navigation information.

Prior Art Combination 1: Waze / FreeMap Israel and Social Networking Principles

A compelling argument for obviousness can be made by combining the publicly known features of FreeMap Israel (the precursor to Waze) with well-understood principles of social networking for ranking user-generated content.

Primary Reference: FreeMap Israel / Waze (publicly known and in use pre-2008)
- Background: Founded in 2006, FreeMap Israel was a community project aimed at creating a free, user-generated digital map of Israel. By 2008, the project was incorporated as Waze. The system relied on users running an application on GPS-enabled mobile devices, which would transmit their location and speed data to a central server. This data was used to build out the map and provide real-time traffic information.
- Elements Taught: FreeMap Israel teaches several key limitations of claim 1 of the '361 patent:
  - A system involving a mobile electronic device with a "hardware geospatial positioning system."
  - An "automated hardware processor" to define a user request based on user input (the act of driving and running the app) and metadata ("location of the mobile electronic device").
  - An "automated hardware communication interface port" that automatically transmits this location and speed data to a central database.
  - This database is a "social network database" in function, as it is built from community-provided data and serves that community.
  - Crucially, it is a database comprising "roadway condition records having time information and location information," as the core function was to collect traffic flow (a roadway condition) at specific times and locations.
  - The system inherently allows for creating new records (by users driving new roads or providing speed data on existing ones) and receiving location-dependent information (the generated traffic map).
Secondary Reference: General Principles of Social Networking (well-known before 2008)
- Background: By 2008, social networks like Facebook, Twitter, and review sites like Yelp were widely used. A core, well-understood feature of these platforms was the ranking of user-generated content to improve relevance and quality. This was often based on factors like user credibility (e.g., number of friends/followers, post history), popularity (likes, retweets, ratings), or proximity.
- U.S. Patent Application Publication No. 2007/0192299 ("`299 Application"), filed in 2005, describes systems for "social mapping" where relationships and profiles of members are established. This highlights the state of the art in formalizing relationships and member data within a network.
- Elements Taught: The `299 application and general knowledge of social networks teach the missing element:
  - "present[ing] the received social network information ranked according to at least one social network ranking factor."
Motivation to Combine:

A PHOSITA looking at the FreeMap Israel/Waze system would have recognized that the value of the user-generated traffic data was directly tied to its accuracy and reliability. A known problem with any user-generated content system is the potential for inaccurate or malicious data. The most common and obvious solution to this problem, readily observable in the successful social media and review sites of the era, was to implement a ranking and reputation system.

Therefore, it would have been an obvious and logical step to apply social network ranking principles to the data in the FreeMap Israel/Waze system. For example, a PHOSITA would be motivated to rank the reliability of a traffic jam report based on the "credibility" of the user reporting it (e.g., how often their reports are corroborated by other users) or its "popularity" (e.g., how many other users in the same area are also experiencing slow speeds). This would be a predictable improvement to enhance the functionality and reliability of the existing community-based traffic system. The combination of a system like Waze with known social ranking factors would render the claims of the '361 patent obvious.

Prior Art Combination 2: Adding Speech-to-Text Functionality

This combination addresses dependent claims, like claim 2, which specify speech-to-text conversion.

Primary System: The combined Waze / Social Ranking system described above.
Secondary Technology: Mobile Speech Recognition
- Background: By 2008, speech recognition was a rapidly advancing field. While still imperfect, its application on mobile devices was known. Dragon's NaturallySpeaking, which allowed for continuous speech recognition, had been available since 1997. Google launched its Google Voice Search app for the iPhone in 2008, which used cloud-based processing to handle speech-to-text queries. This demonstrates that using speech as an input method for mobile applications was a known and actively developing area.
- Elements Taught: This established technology teaches the conversion of human speech into text for use as input in a mobile application.
Motivation to Combine:

The motivation to add speech input to a driving or navigation application like Waze would have been exceptionally high. A PHOSITA would immediately recognize the safety implications and user convenience of allowing hands-free operation. For a user wanting to report a "roadway condition" such as an accident, a police trap, or a traffic jam, speaking the report is significantly safer and easier than manually typing it on a mobile device while driving. This was not an inventive leap, but rather the application of a known technology (speech-to-text) to a known application (mobile navigation) to solve a very obvious problem (the danger of manual input while driving). This combination renders claims requiring speech input obvious.

Conclusion

The independent claims of US patent 9,792,361 describe a system that was a logical and predictable extension of technologies and platforms that existed prior to July 29, 2008. The core concept of a community-based, GPS-driven traffic information system was embodied by FreeMap Israel/Waze. Applying well-known social network ranking methods to improve the quality of this data would have been an obvious step for a person of ordinary skill in the art. Furthermore, adding speech-to-text for user input was a known technique to improve the safety and convenience of mobile applications, particularly those used while driving. Therefore, the claims of the '361 patent are likely invalid as obvious under 35 U.S.C. § 103.