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.
Location Based Systems

For more information on companies in this article

Related Content

  • Swarco launches new street-level signals for cycle lanes
    March 10, 2016
    Swarco Traffic has launched a range of highly reliable mini-signals for towns and cities looking to install street-level signals for bicycle lanes. The first signals are already being installed in the UK on new Cycle Superhighway routes. The signals use a bespoke LED technology with high light output, low energy consumption and virtually no maintenance.
    Read More
  • Bulgaria to implement truck tolling system
    November 26, 2012
    The Bulgarian government is considering inviting investors to help it develop an electronic system for truck tolls. The project, which is worth up to US$648.26 million, will be developed on a public-private partnership (PPP) basis. "We are looking for heavyweights, partners capable of making a serious investment of 200, 300, maybe 500 million euro, depending on the estimated cost of building such a system," Lilyana Pavlova told reporters at the Southeast Europe Business Forum.
    Read More
  • Why integrated traffic management needs a cohesive approach
    April 10, 2012
    Traffic control is increasingly being viewed as one essential element of a wider ‘system of systems’ – the smart city. Jason Barnes, Jon Masters and David Crawford report on latest ideas and efforts for making cities ‘smarter’ Virtually every element of the fabric and utilitarian operations that make urban areas tick can now be found somewhere in the mix that is the ‘smart city’ agenda. Ideas have expanded and projects pursued in different directions as the rhetoric on making cities ‘smarter’ has grown. App
    Read More
  • Benefits of traffic data sharing with app developers
    November 10, 2015
    Timothy Compston finds out if exchanging traffic and road condition data with private app developers makes sense for both drivers and road authorities. Much has been said about the potential benefits for authorities in sharing data with traffic and navigation app developers, and receiving ‘crowdsourced’ information in return – so how is it working in practice?
    Read More

Highlighted Content