Road & Traffic Management
Филтри
Falls Church, VA modernizes traffic signals into one coordinated network
A Washington D.C. suburb, Falls Church, has initiated a project to modernize its traffic signals to enhance safety and efficiency. The upgrade will incorporate new technology such as adaptive signal controls and improved pedestrian features. This modernization aims to address traffic congestion issues and improve overall traffic flow in the area.
Falls Church, VA
United States
Boston, MA launches AI-powered traffic management project to alleviate congestion
Boston is launching a new traffic management initiative called "Project Green Light" in collaboration with Google to alleviate congestion. The project will use advanced data analytics and real-time traffic monitoring to optimize traffic signal timings and improve overall flow. The goal is to reduce delays and enhance the efficiency of the city’s transportation network.
Boston, MA
United States
San Jose, CA piloting AI technology to enhance street safety
San Jose, CA plans to use AI technology to enhance street safety by analyzing traffic patterns and identifying dangerous intersections. The initiative aims to reduce traffic accidents and improve overall road safety by leveraging data-driven insights. This project is part of the city's broader effort to integrate smart technology into urban infrastructure to enhance public safety.
San Jose, CA
United States
Kingston upon Hull City Council, GB alleviates traffic congestion with AI
Hull City Council has implemented AI technology to manage traffic congestion, resulting in significant improvements on Anlaby Road. This initiative, funded by the Department for Transport, aims to enhance urban mobility and is expected to expand citywide, reflecting the council's commitment to innovation and sustainable development.
Kingston upon Hull City Council, GB
United Kingdom
Tempe, AZ pilots GPS traffic signal priority system
The City of Tempe, AZ, is piloting a GPS-based traffic signal priority system to improve emergency vehicle response times. Partnering with LYT, the city will install the technology at 12 intersections, allowing emergency vehicles to receive green lights as they approach. This one-year trial will compare the new GPS-based system with the existing optical system, evaluating its real-world effectiveness and potential for broader implementation
Tempe, AZ
United States
Cambridgeshire County Council, GB to use machine learning to monitor and improve transport
Alchera Data Technologies (Cambridge, UK) won funding from the Net Zero Innovation program run by Innovate UK to run a £250k pilot project with the Greater Cambridge Partnership and Oxfordshire County Council. Cambridgeshire and Oxfordshire roads will be used to trial an artificial intelligence-driven solution to automate decision-making in traffic control rooms.
Cambridgeshire County Council, GB
United Kingdom
Syracuse, NY improve snow removal with software
To better respond to residents and provide transparency about snow removal, the city is now using a three-pronged software approach which includes ESRI’s ArcGIS Velocity product paired with Samsara’s cloud-based location technology, which updates the Snow Operations Map with a plow’s location every few seconds. The third vendor is Rubicon, which offers a platform Syracuse uses year-round for management and routing of snow and waste removal vehicle fleets.
Syracuse, NY
United States
Washington, DC uses automated cameras for bus lane enforcement
WMATA buses in the District of Columbia are now using automated cameras to enforce bus-only lanes and bus stop zones. The new initiative, called Clear Lanes, is modeled after similar programs, including San Francisco and New York City, and will be the first to use automated camera technology to enforce bus stop zones in addition to bus-only lanes.
Washington, DC
United States
Wagga Wagga, NSW trials plastic mesh reinforcement technology during road rehabilitation process
The Wagga Wagga City Council has approved the use of Geogrid reinforcement technology in the rehabilitation of several roads as part of its program of major civil works currently underway. The Council has been looking for innovative construction options to improve the road rehabilitation process, and the goal of the Geogrid is to minimize cracking in the wearing course due to environmental factors such as seasonal temperature fluctuations and the stabilization of the gravel in the pavement.
Wagga Wagga, NSW
Australia
New York, NY Street Deliveristas Hubs help growing ranks of app-based delivery workers
Local officials will use a $1 million federal grant on infrastructure for the city's 65,000 delivery workers. Street Deliveristas Hubs turn disused newsstands, outdoor dining spaces, and transit stops into shelter from the elements. Workers can rest, charge their e-bikes or phones, and check their apps without obstructing sidewalks or streets. This first-in-the-U.S. pilot uses feedback from delivery workers during site selection and hub design.
New York, NY
United States
Hertfordshire County Council, GB partners with AWS on AI-powered traffic monitoring platform
County officials wanted a monitoring solution for automated and standardized data collection. Videos from local traffic cameras are sent through an app built on AWS Amplify to the AWS Rekognition tool for analysis. Traffic types, directions, and speeds are documented before image deletion. Twelve-hour sections of video can be correctly categorized in as little as two hours. The platform is easy to access without training and reduces personnel time spent on traffic counts.
Hertfordshire County Council, GB
United Kingdom
Graz, STE tests LMT's traffic monitoring tool for improved road safety and enforcement
Municipal officials sought a low-cost tool for capturing traffic trends and potential violations. LMT's AI-powered platform evaluates video footage and categorizes different types of traffic. This system monitors bus lane use by passenger vehicles, illegal turns, and red-light violations. Light-mounted sensors are installed and maintained without additional construction. Pilot data from a high-traffic intersection will shape Graz's future use of the technology.
Graz, STE
Austria