Traffic monitoring and management systems and methods

Abstract

Systems and methods for detecting electromagnetic emissions to monitor and manage road traffic. In one implementation, a system is provided for determining at least one of location, speed, and direction of vehicles on a roadway. The system comprising at least one receiver configured for placement at one or more fixed locations along the roadway to detect a plurality of non-reflected electromagnetic emissions originating from a plurality of vehicles. The system further comprise at least one processor configured to receive signal information from the at least one receiver and to identify in the plurality of non-reflected electromagnetic emissions an electromagnetic waveform of a vehicle. The at least one processor may calculate at least one of a Doppler effect, a phase difference, or a time difference of non-reflected electromagnetic emissions associated with the identified electromagnetic waveform, and determine at least one of a location, speed, and direction of the vehicle.

1 . A system for traffic management comprising:
 at least one sensor configured to detect information on road users in a segment of a road;   at least one processor configured to:   receive the detected information from the at least one sensor;   detect autonomous vehicles of the road users;   determine from the detected information at least one of location, speed and direction of each of said road users;   based on the determined autonomous vehicles and the at least one of location, speed and direction and on a set of traffic management rules, generate and selectively send a control signal comprising a driving instruction communicated to a communication device of each one or some of said autonomous vehicles instructing said one or some of said autonomous vehicles to drive at a certain speed or on a certain lane.   
     
     
         2 . The system of  claim 1 , wherein said at least one processor is configured to receive travel-related information from each of the autonomous vehicles. 
     
     
         3 . The system of  claim 1 , wherein the control signal comprises direct traffic management action. 
     
     
         4 . The system of  claim 1 , wherein the control signal is selected from the group of control signals consisting of: stop, slow down, accelerate, turn, a collision prevention action, a warning, drive at certain speed, drive at certain lane, change lane, initiate a full emergency brake, steer by a certain angle, and steer by certain direction. 
     
     
         5 . The system of  claim 1 , wherein said at least one sensor is selected from the group of sensors consisting of: electromagnetic sensors, image capturing sensors, light sensors, receivers configured to detect electromagnetic emissions, sensors configured to detect autonomous vehicles in the area of interest. 
     
     
         6 . The system of  claim 1 , wherein the at least one processor is configured to predict possible collision between two or more of the road users, and wherein the control signal is a collision avoidance action signal to at least one of said two or more of the autonomous vehicles to avoid the possible collision. 
     
     
         7 . The system of  claim 6 , wherein the collision avoidance action is selected form the group of actions consisting of: altering a state of a traffic signal, sending a warning message, sending a control signal to automatically cause a change in at least one operational aspect of one of the two or more of the road users. 
     
     
         8 . The system of  claim 1 , wherein the processor is configured to generate and selectively send a different control signal to different one or some of the autonomous vehicles. 
     
     
         9 . The system of  claim 1 , wherein the processor is configured, based on the determined at least one of location, speed and direction and on the set of traffic management rules, to generate and selectively send a control signal comprising a driving instruction communicated to the communication device of each of said one or some of the autonomous vehicles instructing that autonomous vehicle to drive at a certain speed, and to generate and selectively send another control signal comprising a driving instruction communicated to the communication device of another of said one or some autonomous vehicles instructing that other autonomous vehicle to change lane. 
     
     
         8 . A method for traffic management comprising:
 detecting, by at least one sensor, information on road users in a segment of a road;   receiving by at least one processor the detected information from the at least one sensor;   using the at least one processor:   detecting autonomous vehicles of the road users;   determining, from the detected information at least one of location, speed and direction of each of said road users;   based on the determined autonomous vehicles and the at least one of location, speed and direction and on a set of traffic management rules, generating and selectively sending a control signal comprising a driving instruction communicated to a communication device of each one or some of said autonomous vehicles instructing said one or some of said autonomous vehicles to drive at a certain speed or on a certain lane.   
     
     
         9 . The method of  claim 8 , further comprising receiving by said at least one processor travel-related information from each of the autonomous vehicles. 
     
     
         10 . The method of  claim 8 , wherein the control signal comprises direct traffic management action. 
     
     
         11 . The method of  claim 8 , wherein the control signal is selected from the group of control signals consisting of: stop, slow down, accelerate, turn, a collision prevention action, a warning, drive at certain speed, drive at certain lane, change lane, initiate a full emergency brake, steer by a certain angle, and steer by certain direction. 
     
     
         12 . The method of  claim 8 , wherein said at least one sensor is selected from the group of sensors consisting of: electromagnetic sensors, image capturing sensors, light sensors, receivers configured to detect electromagnetic emissions, sensors configured to detect autonomous vehicles in the area of interest. 
     
     
         13 . The method of  claim 8 , wherein the at least one processor is configured to predict possible collision between two or more of the road users, and wherein the control signal is a collision avoidance action signal to at least one of said two or more of the autonomous vehicles to avoid the possible collision. 
     
     
         14 . The method of  claim 13 , wherein the collision avoidance action is selected form the group of actions consisting of: altering a state of a traffic signal, sending a warning message, sending a control signal to automatically cause a change in at least one operational aspect of one of the two or more of the road users. 
     
     
         15 . The method of  claim 8 , further comprising, using the at least one processor, generating and selectively sending a different control signal to different one or some of the autonomous vehicles. 
     
     
         16 . The method of  claim 8 , further comprising, using the at least one processor, based on the determined at least one of location, speed and direction and on the set of traffic management rules, generating and selectively sending a control signal comprising a driving instruction communicated to the communication device of one of said one or some autonomous vehicles instructing that autonomous vehicle to drive at a certain speed, and to generate and selectively send another control signal comprising a driving instruction communicated to the communication device of another of said one or some autonomous vehicles instructing that other autonomous vehicle to change lane.