As more smart and self-driving cars hit the road, some engineers are thinking about how to make the streets they drive smart. Doing so would allow smart cars and trucks to exchange information about traffic congestion, accidents and weather conditions with other vehicles, traffic management centers and private companies. Key to this are IoT systems, which include systems embedded in roads and traffic lights. sensor in .
Existing intelligent transportation systems provide some of these capabilities. For example, information gathered through traffic surveillance cameras can be used to adjust traffic signals in real time to ease congestion, sensor-equipped parking lots can notify drivers of vacancies via smartphones, and there are some IoT pilot projects, such as motorways in Austria, The project uses a connected road system to link 70,000 sensors and 6,500 traffic cameras to monitor traffic and road conditions.
The smart highway includes several modules
Public transport management
Internet of things(IOT) technology is becoming more and more common in public transportation, and a connected public transportation system has the following advantages:
Real-time vehicle tracking: IoT enables authorities to track the location of their vehicles, authorities can install GPS systems on their vehicles, pass the location data to a central command center, calculate accurate arrival times, and stream it to passenger mobile devices or Electronic signage at bus stops.
Emergencies: Road maintenance, weather and emergencies may affect public transport. IoT allows authorities to reroute vehicles and update passengers accordingly, and transit agencies can alert commuters in real-time via mobile phones.
Personalized travel information: Transit agencies can identify an individual’s travel style and see which stops and routes commuters prefer, and authorities can notify commuters in advance if stops are closed or vehicles are diverted.
traffic management
Cities can collect information from closed-circuit television (CCTV) feeds and transmit vehicle-related data to city traffic management centers, which can be combined with data from smart parking sensors, smart traffic lights, and smart accident assistance, based on the Some applications of networked traffic management include:
Smart Parking: IoT-based sensors in parking lots can provide real-time information about vacant parking spaces for cars.
Traffic lights: Traffic lights that rely on real-time data sources are being used to improve traffic flow. Strategically placed sensors can use IoT technology to collect data about high-traffic intersections, and big data can analyze this information to provide drivers with alternative routes and improve traffic signals.
Roadside lights: Smart lights can use ambient sensors to increase or decrease lighting based on current lighting conditions.
Smart assistance: CCTV and sensors on the road can help identify accidents and emergencies and communicate their location to emergency teams.
