Skip to main content

Patents for ALMA advanced strategic highway lane guidance for cars and trucks

ALMAGuide, developer of the Advanced Lane Management Assist (ALMA) advanced lane guidance technology for cars and trucks on freeways, has received approval for two US patents. These describe technology that takes information from centralised traffic management control centres, conditions the data and uses proprietary algorithms and propriety data structures to tell the vehicle (either with driver or driverless) both the best lane to be in on the highway, based on traffic flow several miles ahead of the
June 17, 2016 Read time: 2 mins
RSS8449 ALMAGuide, developer of the Advanced Lane Management Assist (ALMA) advanced lane guidance technology for cars and trucks on freeways, has received approval for two US patents.

These describe technology that takes information from centralised traffic management control centres, conditions the data and uses proprietary algorithms and propriety data structures to tell the vehicle (either with driver or driverless) both the best lane to be in on the highway, based on traffic flow several miles ahead of the vehicle, and the most appropriate speed for the vehicle.  ALMA also applies and adapts the lane guidance technology for trucks.  

ALMA contains three major components: ALMA Management Center (ALMAMC), which obtains lane-based traffic data from traffic management centres or other sources, conditions it and develops parameters and other information in a reference frame that is specifically formulated to address lane selection requirements.  This information will be used by the vehicle application software.

The Guidance Assist Vehicle Module (GAVM) uses ALMAMC data and accepts information from the vehicle operator on his driving preferences and other information.  It also accepts information from the vehicle (position, speed, and destination).  It provides lane choice and target speed recommendations using cellular based technology or other communication techniques.

Since trucks require a different set of algorithms for optimal lane choice and target speed selection, the ALMA Truck Vehicle Module (ALMATR) uses data from the truck and truck operator and provides recommended lane and target speed for the truck.

For more information on companies in this article

Related Content

  • Simulating the effects of optimal mobility
    May 30, 2024
    Simulation-based optimisation is the foundation for real-time predictive analytics when it comes to optimal traffic signal programming, explain Sunny Chakravarty of Econolite and Lorenzo Meschini of PTV Group
  • Public transport operators implement passenger safety systems
    December 4, 2012
    Operators of public transport systems are arming themselves with sophisticated systems of technology to ward off terrorism threats to passenger safety. David Crawford reports. City transportation authorities worldwide are looking more keenly than ever for mass transit solutions to overcome traffic congestion and manage commuter flows. As they do so, concerns over passenger security are driving development of new technologies for terrorist incident detection, response and emergency passenger evacuation. The
  • New technology creates signs for safer roads for schoolchildren
    June 28, 2016
    Messagemaker has developed a new electronic speed reduction safety sign, which uses the latest LED technology and is fully programmable to initiate a temporary 20mph speed limit during school arrival and departure times, using 3G data modems to remotely set sign parameters and for retrieval of collected speed data. The signs can also be configured to revert to vehicle activated speed signs outside of the core school times.
  • Connected mobility: top five solutions
    March 3, 2021
    Joseph Jackson Ngo Hong of Robert Bosch offers thoughts on the future of connected mobility