Skip to main content

McCain adaptive signal control reduces congestion on busy San Diego arterial

McCain has announced results measuring the effectiveness of its adaptive signal control software deployed on the city of San Marcos's new 'smart corridor'. The study revealed the system significantly improved traffic flow on San Marcos Boulevard, the second busiest arterial in San Diego County, California.
May 16, 2012 Read time: 2 mins
772 McCain has announced results measuring the effectiveness of its adaptive signal control software deployed on the city of 798 San Marcos’s new ‘smart corridor’. The study revealed the system significantly improved traffic flow on San Marcos Boulevard, the second busiest arterial in San Diego County, California.

McCain’s QuicTrac adaptive control system, aimed at reducing stop-and-go traffic by coordinating signal timing along the corridor, was surveyed for travel time reductions, associated costs and environmental benefits. The study focused on peak travel times both pre- and post-implementation of the signal control software. During peak travel periods the comparisons revealed that delay times were reduced between 19 and 46 per cent, depending on the time of day. This was significantly higher than anticipated. These reduced travel times provide a 7.8 per cent average reduction in fuel consumption, resulting in reduced harmful emissions.

“Previously, the city of San Marcos optimised this corridor to meet the growing demand of this busy arterial. The city expected successful results from the new software system, but no one anticipated these kinds of results,” said Jason Stack, principal of Stack Traffic Consulting. “Typically, we would see similar results on a corridor that has never been optimised, so gaining this level of improvement is outstanding for the city and residents.”

With an average of 22,000 to 46,000 vehicles traveling the San Marcos Boulevard corridor daily, a solution that would provide the maximum benefit to the public at a minimal cost to the city was sought. The McCain adaptive traffic control system surpassed expectations with a 29.7 per cent average decrease in eastbound delay times by distributing on-demand cycle lengths, alleviating stop-and-go traffic. In addition, the company’s solution delivered the city of San Marcos with an 8:1 benefit to cost ration on travel time.

“We are excited to have received results that truly demonstrate adaptive control software’s range of capabilities,” said Brian Wagner, ITS solutions manager for McCain. “Studies that yield these types of results will further establish adaptive technology as a premier solution in the traffic industry.”

For more information on companies in this article

Related Content

  • ISS announces 2017 first half financial results
    August 11, 2017
    Image Sensing Systems (ISS) has announced results for its second quarter and first half ended 30 June 30 2017. ISS’s revenue for the first half of 2017 was US$6.6 million, a 17 per cent decrease from revenue of US$7.9 million in the first half of 2016. Sales gross margin for the first six-months of 2017 was 78 per cent, a two per cent increase from the prior year period. The increase in gross margin was the result of a higher percentage of revenue from royalties, improved product sales gross margin and a
  • New system expedites border crossings
    October 28, 2016
    Enforcing border controls can create long queues for travellers, David Crawford looks at potential solutions. Long delays at border crossings in both North America and Europe have sparked the development of new queue visualisation and management technologies that are cutting hours, even days, off international passenger and freight journeys. At the westernmost end of the 2,019km (1,250 mile) Mexico–US frontier, two parallel crossings between Tijuana, in the former country, and the border city of San Diego,
  • Sustainable mobility: innovative solutions needed to reduce traffic emissions
    May 1, 2021
    Kapsch TrafficCom’s Mobility Report 2021 reveals how new ITS measures such as vehicle connectivity and AI-based data processing can help create joined-up traffic management
  • Cubic’s holistic view of traffic management
    May 25, 2022
    How can cities and transit agencies ease congested roadways? Andy Taylor of Cubic Transportation Systems suggests it would help to take a more holistic view of the problem