Greater Noida: 2 killed, 10 hurt in road accidents
Noida (PTI): Two people were killed and 10 sustained injuries in separate road accidents in Greater Noida, police said on Saturday.
In a four-vehicle crash on the Yamuna Expressway in Greater Noida, a person was killed and nine were injured, they said.
The multi-vehicle pile-up took place around midnight when the vehicles were at the 30 km milestone in Jewar on the Noida-Agra carriageway.
"A bus collided with a truck and soon two cars also collided with them one after the other. One person identified as Satya Prakash (35), a native of Etawah district, who was aboard the bus died while nine others suffered injuries," a police spokesperson said.
Those injured were taken to a local hospital for treatment, the official said.
In a separate incident, a motorcycle-borne man was killed after being hit by a car near the ITBP campus near Lakhnawali village, police said.
The rashly-driven car allegedly ploughed into two motorcycles and an auto-rickshaw at around 10 pm on Friday, they said.
"Motorcycle rider Jitendra (35), who lived in Lakhnawali village, died while another person Upendra (40), who lives in Khurd Gulawathi village, suffered injuries," a police spokesperson said.
Police said they have seized the erring car and taken the driver, Bhola, and one more person into custody.
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Bengaluru airport introduces AI-based system to enhance safety at vehicle-aircraft intersections
Bengaluru: Bangalore International Airport Limited (BIAL) has introduced an integrated smart airside safety system at Kempegowda International Airport to improve operational safety at key intersection zones.
According to The Hindu, the system has been designed to enhance safety at Cross Service Roads (CSRs), where aircraft and ground vehicle movements intersect.
According to BIAL, the system integrates AI-based computer vision, automation, and centralised monitoring to manage right-of-way movements and reduce the risk of human error.
“CRSs are among the most sensitive areas within airport operations, requiring precise and seamless coordination between aircraft and ground vehicles. Traditionally, right of way protection at these intersections relied on manual or semi-manual inset light activation, creating dependencies on human intervention, increasing the risk of delays and limiting operational visibility,” TH quoted BIAL as saying.
The new system uses real-time detection of vehicle movement, risk assessment, and automated signalling. AI-enabled cameras identify potential conflicts and trigger automated inset light signals to ensure aircraft priority. Normal operations resume once the area is confirmed clear.
“Based on these detections, the system triggers automated inset light activation to protect aircraft right‑of‑way and restores normal signalling once the intersection is confirmed clear. A centralised monitoring and analytics platform digitally logs all events, strengthening governance, compliance, and operational control,” BIAL said.
By embedding technology into operations, the system creates a data-driven separation layer between aircraft and ground vehicles, significantly reducing human error, especially during night and low-visibility conditions.
“Precision-led signal activation improves traffic flow, minimises unnecessary stoppage and enhances turnaround efficiency. It also establishes a scalable foundation for predictive safety analytics, enabling trend analysis, peak-hour optimisation, compliance mapping and risk forecasting to support continuous improvement and stronger airside governance,” BIAL said.
