Read the passage and mark the letter A, B, C or D on your answer sheet to indicate the best answer to each of the following questions from 1...
Đề bài
Read the passage and mark the letter A, B, C or D on your answer sheet to indicate the best answer to each of the following questions from 17 to 24.
Smart urban transport systems are being developed in major cities to reduce congestion and improve travel safety. Modern tools such as AI cameras, motion sensors, traffic-mapping software, and data analytics help city planners monitor vehicle flow in real time. These technologies collect information on road density, traffic speed, and accident risks, enabling authorities to speed up decisions about traffic control and resource allocation. With accurate data available instantly, transport managers can adjust traffic lights, redirect vehicles, and prevent long delays during peak hours.
Digital maps allow planners to mark dangerous intersections and create customised routing plans. They show where pedestrian crossings should be added and which streets need improved lighting. Drones also send early warnings about road damage or unexpected obstacles, meaning that maintenance teams can focus only on the affected areas. This helps reduce repair costs and keep roads safe for all residents.
Advanced systems also optimise public transport networks. Smart sensors installed at bus stations report passenger numbers every few minutes, while weather apps predict conditions for the next several days. Automated schedules respond by increasing buses in crowded zones and pausing extra services during storms. This cuts fuel consumption and ensures that transport services remain efficient and financially sustainable, especially in cities with limited budgets.
The digital chain continues beyond the streets. Cloud platforms connect bus operators, metro controllers, and vehicle technicians, allowing them to update arrival times, engine temperatures, and maintenance needs immediately. Blockchain tools protect each record, helping passengers trust the posted information. Analytic software then reviews months of data to forecast travel demand, identify traffic bottlenecks, and highlight areas that require long-term planning.
Question 17. Which of the following is NOT mentioned in paragraph 1 as a type of collected real-time data?
A. road density B. accident risks C. traffic speed D. parking fees