Researchers at Portland State University developed data-driven speed management strategies to improve safety and efficiency in multimodal transportation. They found that disabling speed feedback signs on conventional roadways resulted in reduced driver speeds and a lower likelihood of severe crashes.
A new study uses machine-learning algorithms to predict the next phase of a traffic signal, giving bicyclists a smoother ride. The researchers achieved high accuracy with 85% prediction success rate, using LSTM and 1D CNN models.
A team of researchers developed a cooperative adaptive cruise control model that uses streaming data to predict the driving states of preceding vehicles, reducing congestion and traffic accidents. The model can be tested using actual connected, autonomous vehicles and could create a safer future for everyone sharing the road.
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SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.
Researchers analyzed customer movement patterns in Tesco supermarkets to develop a method to reduce congestion. Placing popular goods near store perimeters was found to be effective in decreasing aisle crowding.
Engineers at MIT created a robot that can follow pedestrian rules, avoiding collisions while keeping pace with foot traffic. The 'socially aware navigation' system uses reinforcement learning to adapt to unpredictable pedestrian behavior.
The NetSage service will help network engineers understand current traffic patterns, identify loss of data and congestion issues. By analyzing large-scale data flows, researchers can optimize performance and improve the overall efficiency of international networks.
Elsevier has launched a new journal, Transportation Geotechnics, to publish research on all aspects of geotechnics for roads, highways, railways, and waterways. The journal aims to bridge the gap between transportation engineering and geotechnical engineering.
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Nikon Monarch 5 8x42 Binoculars deliver bright, sharp views for wildlife surveys, eclipse chases, and quick star-field scans at dark sites.
Researchers are developing a new traffic modeling system that incorporates individual human behavior traits to forecast transportation needs. The VASTO model simulates habitual patterns with real-time reactions and will allow planners to see what would happen if traffic is rerouted or construction is proposed.
New research identifies the 'dilemma zone' before a stoplight intersection where drivers are unsure whether to stop or go ahead. The study proposes using advanced technology and fuzzy logic to improve yellow-light timing and reduce driver confusion.
Researchers aim to create a new technology that stabilizes soil for road construction, improving the environment and cellulosic ethanol industry. Soil conditions in Iowa often require mixing chemicals to improve strength, but current practices have limitations.
Researchers created an automated, enterprise-scale WiFi troubleshooting system that analyzes wireless protocol behavior, wired network services, and interactions between them. The system identifies the source of problems, such as media access dynamics and mobility management latency, and provides immediate solutions.
Researchers at Ohio State University have developed software that enables smart traffic boxes to detect road incidents more efficiently, reducing communication costs by up to 90% and achieving accuracy rates of over 90%. This innovation aims to help transportation authorities identify incidents more effectively, thereby reducing conges...
Apple iPad Pro 11-inch (M4)
Apple iPad Pro 11-inch (M4) runs demanding GIS, imaging, and annotation workflows on the go for surveys, briefings, and lab notebooks.
Researchers at Rensselaer Polytechnic Institute and AT&T Labs found that treating all traffic identically would need an extra 60% capacity in modestly loaded networks, increasing to 100% or more during heavy demand. This suggests that differentiated services are more efficient and cost-effective.
The University of Vermont is introducing a new systems education project to reform its engineering curriculum, emphasizing the connection between traffic and social, environmental, and economic factors. The project aims to equip students with skills to analyze complex problems and provide solutions that consider multiple perspectives.
Researchers at Penn State have developed a system that uses white LEDs to transmit data wirelessly over power lines, achieving gigabit-per-second speeds. The system is more secure than traditional wireless methods due to light's ability to penetrate walls and avoid signal distortion.
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Fluke 87V Industrial Digital Multimeter is a trusted meter for precise measurements during instrument integration, repairs, and field diagnostics.
A new typeface called Clearview has been approved by the Federal Highway Administration (FHWA) for use on public roads in the US and Canada. The Clearview typeface offers a 20% improvement in legibility and recognition with the same size sign as currently used, reducing driver confusion and increasing safety.
A new method devised by Purdue engineers can prevent disconnections for roaming cell phone users by allowing two adjacent cells to share channels, ensuring a continuity of service as a caller travels from one cell to the next. This technique could increase network efficiency by up to 60% and reduce disconnections by up to 100 times.
Research finds that road dust kicked up by traffic can be a source of airborne allergens, including pollen, animal dander, and molds. Residential areas with roadside vegetation are more affected than industrial locations.
A new cockpit display system being developed at Michigan Technological University aims to alert pilots of nearby aircraft and reduce mid-air collisions. The system uses passive radar and GPS squitter signals to provide real-time traffic information, greatly improving flight safety.
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DJI Air 3 (RC-N2) captures 4K mapping passes and environmental surveys with dual cameras, long flight time, and omnidirectional obstacle sensing.