Method and terminal for urban road green wave band decision support based on floating vehicle technology
A decision support and floating car technology, applied in the field of intelligent transportation, can solve problems such as low road network operation efficiency, frequent vehicle parking, travel delay, etc., to achieve timely and reliable information update, improve traffic capacity, and low cost.
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Embodiment 1
[0067] The present invention provides a kind of urban road green belt decision support method based on floating car technology, comprising the following steps:
[0068] S1: According to the obtained data information of a plurality of floating cars, an intersection location set is obtained, and the intersection location set includes intersection locations of multiple traffic lights;
[0069] The S1 is specifically:
[0070] Acquiring data information of multiple floating vehicles, said data information including vehicle number, position, speed and time point;
[0071] According to the data information of the plurality of floating cars, obtain the positions where the speed of all floating cars is 0, and obtain the position set;
[0072] According to the location set, multiple suspected intersection locations are obtained;
[0073] Sequentially obtain the average stay time of all floating vehicles within the preset distance range from each suspected intersection position, and i...
Embodiment 2
[0090] The present invention provides a decision support terminal for urban road green wave zone based on floating car technology, which includes a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the program, it realizes The following steps:
[0091] S1: According to the obtained data information of a plurality of floating cars, an intersection location set is obtained, and the intersection location set includes intersection locations of multiple traffic lights;
[0092] The S1 is specifically:
[0093] Acquiring data information of multiple floating vehicles, said data information including vehicle number, position, speed and time point;
[0094] According to the data information of the plurality of floating cars, obtain the positions where the speed of all floating cars is 0, and obtain the position set;
[0095] According to the location set, multiple suspected intersection locations are obtained;...
Embodiment 3
[0113] 1. Use the on-board information terminal of the floating vehicle to collect the vehicle number u, position l, speed v, and time point t with a fixed time period T during the vehicle's driving process to obtain the driving data sequence, and pass the collected driving data sequence through mobile cellular communication technology is sent to the data center;
[0114] 2. The data center analyzes the speed of driving, extracts intersection nodes with a vehicle speed of 0 and a large number of vehicles (more than 100,000 vehicles), and saves the position of this node in the traffic light intersection set R;
[0115] 3. Determine whether the average residence time of vehicles at each intersection node is within the preset time range (0-3 minutes); if not, delete the intersection node; if so, perform step 4;
[0116] 4. Determine the traffic light intersection, and save the traffic light intersection node in the set R1;
[0117] 5. The data center analyzes the driving data, e...
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