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The electromagnetic parking sensor (EPS) was re-invented and patented in 1992 by Mauro Del Signore. [2] Electromagnetic sensors rely on the vehicle moving slowly and smoothly towards the object to be avoided. Once an obstacle is detected, the sensor continues to signal the presence of the obstacle even if the vehicle momentarily stops.
An induction or inductive loop is an electromagnetic communication or detection system which uses a moving magnet or an alternating current to induce an electric current in a nearby wire. Induction loops are used for transmission and reception of communication signals, or for detection of metal objects in metal detectors or vehicle presence ...
The Sydney Coordinated Adaptive Traffic System, abbreviated SCATS, is an intelligent transportation system that manages the dynamic (on-line, real-time) timing of signal phases at traffic signals, meaning that it tries to find the best phasing (i.e. cycle times, phase splits and offsets) for a traffic situation (for individual intersections as well as for the whole network).
Intersection assistants use two radar sensors in the front bumper and sides of the car to monitor if there are any oncoming cars at intersections, highway exits, or car parks. [24] This system alerts the driver of any upcoming traffic from the vehicle's sides and can enact the vehicle's emergency braking system to prevent the collision. [24]
The graphs are two dimensional graphs. All the graphs are related by the equation “flow = speed * density”; this equation is the essential equation in traffic flow. The fundamental diagrams were derived by the plotting of field data points and giving these data points a best fit curve.
Autonomous: the system acts independently of the driver to avoid or mitigate the accident. Emergency: the system will intervene only in a critical situation. Braking: the system tries to avoid the accident by applying the brakes. Time-to-collision could be a way to choose which avoidance method (braking or steering) is most appropriate. [6]
An example algorithm for traffic-sign detection. Modern traffic-sign recognition systems are being developed using convolutional neural networks, mainly driven by the requirements of autonomous vehicles and self-driving cars. In these scenarios, the detection system needs to identify a variety of traffic signs and not just speed limits.
Speed warning systems are designed to alert the driver of the vehicle when they have exceeded the speed limit. To do this, GPS technologies are used to triangulate the vehicle's location; along with a record of speed limits in the area, the system uses built-in speed sensors to notify the driver when they exceed the speed limit. If the list of ...