Traffic technology continues to evolve at a rapid pace, with new developments influencing everything from vehicles to the infrastructure itself. Here are some recent news articles on traffic technology to keep you up-to-date on the latest trends and developments.
Attitudes about public transit do not vary much from coast to coast in the United States, according to a new study. The study, released by TransitCenter, is the first of its kind to analyze attitudes by metrics such as age, income, education, and ethnicity to provide a comprehensive look at mobility needs throughout the nation’s cities and metro areas.
Researchers at the Massachusetts Institute of Technology have developed a system to direct drivers around potential traffic jams requiring no physical infrastructure such as toll booths. Using virtual tokens, cellphone tracking, and vehicle-to-vehicle wireless LANs, the system identifies conditions for traffic jams and reroutes drivers accordingly.
The Michigan Department of Transportation (MDOT) was recognized for two projects by the Intelligent Transportation Society of America (ITS America). MDOT won an award in the Best New Innovative Practice – Sustainability in Transportation category for its Automatic Vehicle Location (AVL) and Maintenance Decision Support System (MDSS) project. They were also a finalist for the Best New Innovative Practice – Partnership Deployment and won the Best Technical Paper award. Delcan Technologies, a Parsons company, assisted on both projects and is proud to be a part of the victory for MDOT.
Drivers crossing the border to Canada via Lynden and Sumas in Washington have new tools to help choose the most efficient border crossing. Fourteen internet-connected, traffic cameras were installed along the border routes by a contractor for the Washington State Department of Transportation. These cameras and a forthcoming electronic sign will provide drivers with estimated travel times for the various crossing routes.
A new report suggests the sale of personal navigation devices (PNDs) will steadily decline as drivers switch to using their phones and tablets as multi-functional navigation devices. The report, conducted by industry analyst Berg Insight, predicts that the sale of PNDs will drop to just 10 million units worldwide by 2019. Vehicles with factory-installed, in-dash navigation systems are also to blame for the drop, according to the report.
The Borough of State College in Pennsylvania has become the first city in the US to launch a License-Plate Enabled (LEP) parking infrastructure. The system allows parking tickets to be doled out digitally if it detects a car parked illegally. Patrons are warned via text message when their time is nearly up and are given the option to extend their parking limit by texting additional minutes to the meter.
A UK-based company has improved its street lighting control system to be more economically efficient. The company, Telensa, upgraded its wireless street lighting system to include GPS capabilities for monitoring traffic flow as well as an option to adjust the light’s brightness according to traffic levels.
The Michigan Department of Transportation (MDOT) won the “Best New Innovative Practice – Sustainability in Transportation” category at the annual Intelligent Transportation Society of America’s (ITS America) “Best of” awards.
ITS America hosted the 2014 World Congress on Intelligent Transport Systems in Detroit, Michigan September 7-11. The conference included more than 10,000 of the world’s leading transportation policymakers, researchers, and business professionals from the United States, Europe, and Asia.
MDOT, supported by Delcan Technologies, a Parsons company, and ITERIS, Inc., won the award for its Automatic Vehicle Location (AVL) and Maintenance Decision Support System (MDSS) implemented in more than 300 MDOT winter maintenance trucks.
The project included integrating mobile data collectors (MDC) onto the snowplows along with a software solution that provides MDOT with a wealth of data and reporting options. The MDC units can report on the location, speed, weather conditions, and material dispersal of each snow plow.
Additionally, Delcan Technologies was responsible for smoothly integrating existing Mobile Data Collector technology into an MDSS that uses HiCAPS™, an advanced model that accurately predicts highway conditions. Using this data, MDOT can interpret weather and traffic patterns and plan for winter road maintenance and treatment strategies.