CN114005268A - Bus interval scheduling method, device, equipment and storage medium - Google Patents
Bus interval scheduling method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a bus interval scheduling method, device, equipment and storage medium. Determining the total number of waiting people in a dispatching interval in the riding interval, determining the total bearable capacity of all buses running on line in the dispatching interval, and sending dispatching instructions to the idle vehicles in the station yard based on the difference value of the total number of waiting people and the total bearable capacity. The total waiting number of the buses in the dispatching interval and the total carrying capacity of all the buses running on line in the dispatching interval are monitored in real time, so that a basis is provided for dispatching the buses in the dispatching interval, and the passenger carrying efficiency in the dispatching interval and the utilization rate of the buses in the dispatching interval are improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of bus dispatching, in particular to a bus interval dispatching method, device, equipment and storage medium.
Background
Buses, called buses, buses or buses, refer to motor vehicles that follow a fixed route on an urban road, with or without a fixed shift time, and have a special road number, and carry passengers to go out.
In bus operation, the riding demands of passengers may be centrally distributed at some stations, while the demands at other stations are smaller. Therefore, if only the full range vehicle is provided, the passenger flow of the vehicle at a part of the stations is too crowded, and the vehicle utilization efficiency at other stations is low. In order to improve the utilization rate of vehicles and reduce the waiting time of passengers, the inter-section bus is widely applied to a bus dispatching system as a supplement form of a whole-course bus. The inter-section vehicle is a bus serving a specific inter-section stop on a bus route, turns back at an intermediate stop when the inter-section vehicle does not reach the end stop, and guides passengers to select and take a proper vehicle type by setting an obvious identifier (to distinguish the whole inter-section vehicle). Set up the interzone car in the great interval of demand, can increase the vehicle number of times of passing through of interval to reduce passenger's waiting time, compare with only setting up whole car, the interzone car can effectively reduce vehicle idle rate, improves bus operating efficiency.
At present, most public transport companies adopt an experience scheduling method based on historical passenger flow information, for example, in rush hour on duty and off duty, a bus is additionally arranged in the area of a residential district and a subway station, but because the passenger flow difference of the bus station at different time is large, the bus is dispatched according to a preset dispatching interval, the problems of low passenger carrying efficiency or low utilization rate of the bus are caused.
Disclosure of Invention
The invention provides a bus interval scheduling method, device, equipment and storage medium, which are used for improving the passenger carrying efficiency of an interval and improving the utilization rate of the interval.
In a first aspect, an embodiment of the present invention provides a bus interval scheduling method, including:
determining the total number of waiting people in a scheduling interval;
determining the total bearable capacity of all buses running on line in a dispatching interval;
and sending a scheduling instruction to the idle vehicles in the station yard based on the difference value between the total waiting number and the total bearable capacity.
Optionally, determining the total number of waiting people in the scheduling interval includes:
acquiring riding information sent by a user terminal;
and determining the total number of waiting people in the scheduling interval in the riding interval based on the riding information.
Optionally, determining the total number of waiting people in the scheduling interval includes:
obtaining the historical number of waiting people in a scheduling interval in a riding interval in the current time period;
and calculating the average value of the plurality of historical waiting persons as the total waiting persons in the dispatching section of the riding section.
Optionally, determining the total bearable capacity of all buses running online in the scheduling interval includes:
acquiring in-vehicle images of all on-line buses in a scheduling interval;
and determining the total bearable capacity of all buses in the dispatching interval according to the images in the buses.
Optionally, determining the total bearable capacity of all buses in the dispatching interval according to the in-vehicle image includes:
carrying out target detection on the images in the bus to detect the number of passengers in the bus;
calculating the difference value between the preset bearing quantity of the buses and the passenger quantity to obtain the bearable quantity of each bus;
and calculating the sum of the bearable capacity of each bus to obtain the total bearable capacity of all buses in the dispatching interval.
Optionally, the bus interval scheduling method further includes:
acquiring position information of each bus;
determining K target bus stops in front of the bus based on the position information;
and sending the number of the passengers in the bus to the display equipment of the target bus stop.
Optionally, sending a scheduling instruction to an idle vehicle in the station yard based on the difference between the total number of waiting people and the total bearable capacity, including:
and sending an increase and dispatch inter-regional vehicle indication when the total number of waiting people is more than the total bearable capacity.
Optionally, the bus interval scheduling method further includes:
acquiring position information of each bus;
determining the expected time length of the bus reaching a target bus stop based on the position information;
and sending the preset time length to the display equipment of the target bus stop.
Optionally, the bus interval scheduling method further includes:
acquiring historical passenger flow data of each bus stop on a bus driving route;
and determining the dispatching interval and the running time period of the inter-compartment vehicle running according to the historical passenger flow data.
In a second aspect, an embodiment of the present invention further provides a bus interval scheduling apparatus, including:
the total number of waiting people determining module is used for determining the total number of waiting people in the scheduling interval in the riding interval;
the total bearable capacity determining module is used for determining the total bearable capacity of all buses running on line in the dispatching interval;
and the scheduling indication sending module is used for sending scheduling indication to the idle vehicles in the station yard based on the difference value between the total waiting number and the total bearable capacity.
Optionally, the total number of waiting people determining module comprises:
the riding information acquisition unit is used for acquiring riding information sent by the user terminal;
and the total number of waiting people determining unit is used for determining the total number of waiting people in the scheduling interval in the riding interval based on the riding information.
Optionally, the total number of waiting people determining module comprises:
the historical number of waiting people acquiring unit is used for acquiring the historical number of waiting people in the scheduling interval of the riding interval in the current time period;
and the total number of waiting people calculating unit is used for calculating the average value of a plurality of historical number of waiting people as the total number of waiting people in the dispatching interval.
Optionally, the total bearable amount determining module includes:
the image acquisition unit is used for acquiring in-vehicle images of all on-line buses in the scheduling interval;
and the total bearable capacity determining unit is used for determining the total bearable capacity of all buses in the dispatching interval according to the images in the buses.
Optionally, the total bearable amount determining unit includes:
the target detection subunit is used for carrying out target detection on the images in the bus and detecting the number of passengers in the bus;
the first calculating subunit is used for calculating a difference value between the preset bearing quantity of the buses and the passenger quantity to obtain the bearable quantity of each bus;
and the second calculating subunit is used for calculating the sum of the bearable capacity of each bus to obtain the total bearable capacity of all buses in the dispatching interval.
Optionally, the bus interval scheduling device further includes:
the first position information acquisition module is used for acquiring the position information of each bus;
determining K target bus stops in front of the bus based on the position information;
and sending the number of the passengers in the bus to the display equipment of the target bus stop.
Optionally, the scheduling indication sending module includes:
and the adding and dispatching inter-regional vehicle indication sending unit is used for sending an adding and dispatching inter-regional vehicle indication when the total number of waiting people is more than the total bearable capacity.
Optionally, the bus interval scheduling device further includes:
the second position information acquisition module is used for acquiring the position information of each bus;
the time length calculating module is used for determining the expected time length of the bus reaching the target bus stop based on the position information;
and the duration sending module is used for sending the estimated duration to the display equipment of the target bus stop.
Optionally, the bus interval scheduling device further includes:
the historical data acquisition module is used for acquiring historical passenger flow data of each bus stop on a bus driving route;
and the interval time period determining module is used for determining the dispatching interval and the running time period of the running of the inter-vehicle according to the historical passenger flow data.
In a third aspect, an embodiment of the present invention further provides a computer device, including:
one or more processors;
storage means for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the inter-bus dispatching method provided by the first aspect of the invention.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the bus interval scheduling method according to the first aspect of the present invention.
The bus interval scheduling method provided by the embodiment of the invention determines the total waiting number of the bus interval in the scheduling interval, determines the total bearable capacity of all buses running on line in the scheduling interval, and sends scheduling instructions to the idle buses in the station yard based on the difference value between the total waiting number and the total bearable capacity. The total waiting number of the buses in the dispatching interval and the total carrying capacity of all the buses running on line in the dispatching interval are monitored in real time, so that a basis is provided for dispatching the buses in the dispatching interval, and the passenger carrying efficiency in the dispatching interval and the utilization rate of the buses in the dispatching interval are improved.
Drawings
Fig. 1 is a flowchart of a bus interval scheduling method according to an embodiment of the present invention;
fig. 2 is a flowchart of a bus interval scheduling method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a bus interval scheduling device according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a bus interval scheduling method according to an embodiment of the present invention, where this embodiment is applicable to a bus interval scheduling situation of a bus, and the method may be executed by a bus interval scheduling apparatus according to an embodiment of the present invention, where the apparatus may be implemented by software and/or hardware, and is generally configured in a computer device, as shown in fig. 1, the method specifically includes the following steps:
s101, determining the total number of waiting passengers in the scheduling interval.
In the embodiment of the invention, the dispatching interval is the interval of the inter-zone vehicle operation. For example, the stations through which the whole travel route of the bus on a certain bus route passes are S1 and S2 … Sn. The dispatching intervals of the inter-vehicle are S1 and S2 … Sk, wherein k is less than n.
The riding section is the section between the getting-on station and the getting-off station of the passenger.
The total waiting number of the bus taking interval in the dispatching interval is the total number of passengers waiting at the bus stop in the dispatching interval in the bus taking interval. For example, in the embodiment of the present invention, the bus information entry device may be disposed at a bus station, after a user reaches the bus station, the bus information entry device may input the bus information such as the number of passengers and the bus section (i.e., the starting station), and the bus information entry device sends the bus information to the scheduling center. In other embodiments of the present invention, the user may also install a corresponding application program in the terminal device (for example, a smart phone), input riding information such as the number of passengers and a riding interval (i.e., a starting station) in the application program, and the terminal device sends the riding information to the scheduling center. And after the riding information of the waiting passengers is obtained, counting the riding information of each passenger, and determining the total waiting number of the riding section in the dispatching section.
In other embodiments of the present invention, the total number of waiting passengers in the scheduling interval in the riding interval may also be determined based on the historical riding information, and the embodiments of the present invention are not limited herein.
S102, determining the total bearable capacity of all buses running on line in a dispatching interval.
In the embodiment of the invention, the total bearable capacity of all buses running online in the dispatching interval is the number of passengers which can be also borne by all buses running online in the dispatching interval. For example, the bearable capacity of each online bus in the scheduling interval can be calculated, and then the bearable capacity of each online bus is summed to obtain the total bearable capacity.
For example, the carrying capacity of each on-line bus can be obtained by subtracting the number of passengers in the current bus from the maximum carrying number of the bus. In one embodiment of the present invention, a request for reporting the number of passengers may be sent to a vehicle-mounted device of a bus running online in a scheduling interval, and a driver of the bus is required to count the number of passengers in the current bus and report the number to a scheduling center through the vehicle-mounted device. And the dispatching center determines the bearable quantity of the buses according to the current passenger quantity in the buses and the maximum bearing quantity of the buses. Illustratively, the bearable capacity of the bus can be obtained by subtracting the current number of passengers in the bus from the maximum carrying number of the bus.
In another embodiment of the present invention, a sensor, for example, a millimeter wave radar and a camera, may be mounted in the bus, the dispatching center may send a data acquisition request to the vehicle-mounted device of the bus running online in the dispatching interval, and the vehicle-mounted device of the bus responds to the data acquisition request, controls the sensor to acquire environmental data in the bus, and transmits the environmental data back to the vehicle-mounted device, and wirelessly transmits the environmental data to the dispatching center through the vehicle-mounted device. And the dispatching center processes the returned environment data and determines the number of passengers in the current vehicle. And the dispatching center determines the bearable quantity of the buses according to the current passenger quantity in the buses and the maximum bearing quantity of the buses. Illustratively, the bearable capacity of the bus can be obtained by subtracting the current number of passengers in the bus from the maximum carrying number of the bus.
S103, sending a scheduling instruction to the idle vehicles in the station yard based on the difference between the total waiting number and the total carrying capacity.
The station of the bus is a special parking place for the bus, is generally arranged at the starting point and the ending point of a bus route, can be used as a parking place for the bus after the bus stops working, and provides dispatching service, cleaning and maintenance service, water adding, oil adding, gas adding and other services for the bus.
In the embodiment of the invention, the scheduling indication is sent to the idle vehicles in the station yard based on the difference value between the total number of waiting people and the total bearable capacity, and illustratively, when the total number of waiting people is greater than the total bearable capacity, the increased dispatching inter-zone vehicle indication is sent to the idle vehicles in the station yard so as to relieve the passenger flow pressure in the scheduling zone. When the total number of waiting people is less than or equal to the total bearable capacity, the dispatching indication does not need to be sent out, and the whole-course cars in the station yard do not need to be sent out according to the original plan. The total waiting number of the buses in the dispatching interval and the total carrying capacity of all the buses running on line in the dispatching interval are monitored in real time, so that a basis is provided for dispatching the buses in the dispatching interval, and the passenger carrying efficiency in the dispatching interval and the utilization rate of the buses in the dispatching interval are improved.
The bus interval scheduling method provided by the embodiment of the invention determines the total waiting number of the bus interval in the scheduling interval, determines the total bearable capacity of all buses running on line in the scheduling interval, and sends scheduling instructions to the idle buses in the station yard based on the difference value between the total waiting number and the total bearable capacity. The total waiting number of the buses in the dispatching interval and the total carrying capacity of all the buses running on line in the dispatching interval are monitored in real time, so that a basis is provided for dispatching the buses in the dispatching interval, and the passenger carrying efficiency in the dispatching interval and the utilization rate of the buses in the dispatching interval are improved.
Example two
Fig. 2 is a flowchart of a bus interval scheduling method according to a second embodiment of the present invention, which describes in detail the detailed processes of the steps in the foregoing embodiments on the basis of the first embodiment, and as shown in fig. 2, the method includes:
s201, obtaining the riding information sent by the user terminal.
For example, in the embodiment of the present invention, a user may install a corresponding application program in a terminal device (e.g., a smart phone), enter riding information such as the number of passengers, a riding interval (i.e., a starting station), and riding time in the application program, and the terminal device sends the riding information to a scheduling center.
S202, determining the total number of waiting passengers in the scheduling interval in the riding interval based on the riding information.
And after the riding information of the waiting passengers is obtained, counting the riding information of each passenger, and determining the total waiting number of the riding section in the dispatching section.
In other embodiments of the invention, the total number of waiting passengers in the riding section in the dispatching section can be determined based on the historical riding information. Specifically, the historical number of waiting passengers in the current time period in the dispatching interval is obtained. Then, the average value of the plurality of historical waiting persons is calculated to be the total waiting person number of the riding section in the dispatching section. Illustratively, taking a time period of 17:00-17:30 as an example, historical waiting persons of the riding section in the dispatching section in the time period of M days before are obtained, and then the average value of the historical waiting persons of the riding section in the dispatching section in the time period of M days before is calculated as the total waiting persons of the riding section in the dispatching section.
S203, acquiring the in-vehicle images of all on-line buses in the dispatching interval.
Illustratively, in the embodiment of the invention, a vehicle-mounted camera is mounted in the bus. The dispatching center can send a data acquisition request to the vehicle-mounted machine of each on-line bus in the dispatching interval, and the vehicle-mounted machine responds to the data acquisition request to control the vehicle-mounted camera to acquire images in the bus and forwards the images to the dispatching center through the vehicle-mounted machine.
And S204, determining the total bearable capacity of all buses in the dispatching interval according to the images in the buses.
For example, the dispatch center processes the acquired in-vehicle images, identifies passengers from the in-vehicle images, and counts the number of passengers (i.e., the current number of passengers) in the in-vehicle images. And the dispatching center determines the bearable quantity of the buses according to the current passenger quantity in the buses and the maximum bearing quantity of the buses. Illustratively, the bearable capacity of the bus can be obtained by subtracting the current number of passengers in the bus from the maximum carrying number of the bus. And solving the sum of the bearable capacity of the buses running on line to obtain the total bearable capacity.
Illustratively, in the embodiment of the present invention, step S204 includes the following sub-steps:
1. and carrying out target detection on the images in the bus to detect the number of passengers in the bus.
Specifically, in the embodiment of the invention, the acquired images in the bus are input into a pre-trained target detection model for processing, so that all passengers in the bus are detected, and the number of passengers in the bus is obtained. In the embodiment of the present invention, the network structure of the target detection model is not limited, and may be, for example, a target detection model of One-stage, such as YOLOv1 model, YOLOv2 model, SSD model, or a target detection model of Two-stage, such as fast RCNN model.
Illustratively, in the embodiment of the present invention, a fast RCNN model is taken as an example to exemplarily explain a target detection process, and the specific process of the target detection is as follows:
1.1, extracting a characteristic diagram from the vehicle interior image.
The in-vehicle image is processed by using a Backbone network (Backbone), which may be, for example, a VGG16 network structure, and the VGG16 network includes 13 convolutional layers and 5 pooling layers. Each convolution layer does not change the length and width of the feature pattern of the previous layer, and the number of channels can be increased through the convolution layers. After the 5 pooling layers are respectively distributed in 2 or 3 times of convolution, the pooling layers perform maximum pooling operation or average pooling operation on the input features, the size of the Feature Map is reduced, the anti-interference capability of the network can be improved, and the final pooling layer outputs a Feature Map (Feature Map) consisting of a plurality of local features.
And 1.2, inputting the feature map into the area candidate network for processing, and determining a candidate area including the detection object in the feature map.
In the embodiment of the present invention, a process of generating a candidate Region by a Region pro-social Network (RPN) is as follows:
1.2.1, generating a plurality of anchor frames with different scales taking the element as a central point for each element in the feature map.
Specifically, for each element in the feature map, 9 anchor frames (anchors) with different scales and with the element as a central point are generated, and the matrix expression of the anchor frames is [ x, y, w, h ], wherein x and y are position coordinates of the central point of the anchor frame, and w and h are the width and height of the anchor frame.
The feature map of size M × N is convolved by 1 × 1 to output an image of size M × N × 18, which corresponds to exactly 9 anchor boxes for each element in the feature map.
1.2.2, determining a target anchor frame comprising the detection object from a plurality of anchor frames with different scales.
And performing target detection on each anchor frame obtained in the step, and determining whether the anchor frame contains a detection object, wherein the detection object may be a passenger or other objects. When the detection object is included in the anchor frame (only the detection object is known, but whether the detection object is a passenger or not is not known), the anchor frame is a target anchor frame including the detection object.
Specifically, the process of determining the target anchor frame is as follows:
and classifying the features in the anchor frame to obtain the probability value of the anchor frame including the detection object. Specifically, the features in the anchor frame are input into a preset classifier, that is, an output image obtained by convolving the feature map by 1 × 1 is input into the classifier. The classifier may be a Softmax classifier, the classification function of which is a Softmax function. In machine learning, especially deep learning, Softmax function is a very common and important function, especially in multi-classification scenes. In the embodiment of the invention, the Softmax function maps the input features into real numbers with probability values between 0 and 1 and outputs the real numbers. The obtained probability value is compared with a first preset value (for example 0.5). And when the probability value is greater than or equal to a first preset value, determining the anchor frame as a target anchor frame comprising the detection object. And when the probability value is smaller than a first preset value, determining that the anchor frame does not comprise the detection object, wherein the anchor frame is a non-target anchor frame.
And 1.2.3, carrying out translation and scaling processing on the target anchor frame to obtain a candidate area, wherein the detection object is completely positioned in the candidate area.
The feature map is subjected to a 1 × 1 convolution operation, the output image size is mxnx36, and is stored as [1, 4 × 9, H, W ], which is equivalent to 9 anchor boxes for each element of the feature map, and each anchor box has 4 transformation quantities [ dx, dy, dh, dw ] for the regression. The transformation amount dx, dy is an offset amount for translating the center point of the target anchor frame, and the transformation amount dh, dw is a scaling amount for scaling the width and height of the target anchor frame. The Proposal layer is used for integrating all transformation quantities and the target anchor frame, translating and scaling the target anchor frame to obtain an accurate candidate Region (RoI, Region of Interest), and enabling the detection object to be located in the candidate Region as completely as possible.
And 1.3, carrying out pixel alignment on the candidate region and the feature image to obtain an alignment feature.
Illustratively, the features in the candidate region are input into a Pooling layer (RoI posing), and the Pooling layer pools the region in the feature map, which is the same as the candidate region, into a feature of a fixed size according to the position of the candidate region, so as to obtain an alignment feature, so that the alignment feature, the candidate region, and elements in the feature map are aligned, so as to perform subsequent classification and bounding box regression operations, thereby improving the detection accuracy and facilitating the example segmentation.
And 1.4, classifying the alignment features and performing bounding box regression to obtain candidate detection boxes for representing the detection objects and probability values of the detection objects belonging to passengers.
Illustratively, the alignment features are input into a full Connected Layers (FC), the full Connected Layers perform full connection mapping on the alignment features, map the alignment features into a feature vector, input the feature vector into a classification head (C-head) and a regression head (R-head), respectively, the classification head (C-head) outputs a probability value that the detection object belongs to the passenger, and the regression head outputs the position of the candidate detection box.
And 1.5, when the probability value is larger than a preset probability threshold value, determining that the detection object in the candidate detection frame is a passenger.
For example, when the probability value is greater than a preset probability threshold (e.g., 0.85), the detection object in the candidate detection box is determined to be a passenger.
And 1.6, counting the number of the passengers as a third passenger number.
2. And calculating the difference value between the preset bearing quantity of the buses and the quantity of the passengers to obtain the bearing capacity of each bus.
Illustratively, the difference between the preset load number (i.e. the maximum load number) of the buses and the number of passengers is calculated to obtain the bearable capacity of each bus.
3. And calculating the sum of the bearable capacity of each bus to obtain the total bearable capacity of all buses in the dispatching interval.
And S205, sending a scheduling instruction to the idle vehicles in the station yard based on the difference between the total waiting number and the total carrying capacity.
In the embodiment of the invention, the scheduling indication is sent to the idle vehicles in the station yard based on the difference value between the total number of waiting people and the total bearable capacity, and illustratively, when the total number of waiting people is greater than the total bearable capacity, the increased dispatching inter-zone vehicle indication is sent to the idle vehicles in the station yard so as to relieve the passenger flow pressure in the scheduling zone. When the total number of waiting people is less than or equal to the total bearable capacity, the dispatching indication does not need to be sent out, and the whole-course cars in the station yard do not need to be sent out according to the original plan. The total waiting number of the buses in the dispatching interval and the total carrying capacity of all the buses running on line in the dispatching interval are monitored in real time, so that a basis is provided for dispatching the buses in the dispatching interval, and the passenger carrying efficiency in the dispatching interval and the utilization rate of the buses in the dispatching interval are improved.
S206, the number of passengers in the bus and the expected time for reaching the target bus station are sent to the display device of the target bus station.
In the embodiment of the invention, the bus station is provided with the display device. The vehicle-mounted device of the bus is loaded with a gps (global Positioning system) Positioning module. And reporting the position information of the bus to a dispatching center in real time in the running process of the bus. After determining the position information of the bus, the dispatching center determines K (for example, 3) target bus stops in front of the bus, calculates the expected time length of the bus reaching the target bus stop, and sends the number of passengers in the bus and the expected time length of the bus reaching the target bus stop to the target bus stop. Illustratively, for target bus stops Si, Sj, Sk in sequence on the line, the number of passengers in the bus a running on the line is X, the predicted time length for reaching the target bus stop Si is t1, the predicted time length for reaching the target bus stop Sj is t2, and the predicted time length for reaching the target bus stop Sk is t3, wherein t1 < t2 < t 3. And the dispatching center respectively sends the number of passengers in the A bus and the predicted time length predicted to reach the target bus stops Si, Sj and Sk to the target bus stops Si, Sj and Sk. Meanwhile, for the next bus B behind the bus A, the corresponding target bus stops may be Sj, Sk and Sl, the number of passengers in the bus B is Y, the expected time length for reaching the target bus stop Sj is t4, the expected time length for reaching the target bus stop Sk is t5, and the expected time length for reaching the target bus stop Sl is t6, wherein t4 is more than t5 and more than t 6. And the dispatching center respectively sends the number of passengers in the bus B and the predicted time lengths predicted to reach the target bus stops Sj, Sk and Sl to the target bus stops Sj, Sk and Sl. For the next bus C behind the bus B, the corresponding target bus stops may be Sk, Sl and Sm, the number of passengers in the bus C is Z, the predicted time length for reaching the target bus stop Sk is t7, the predicted time length for reaching the target bus stop Sl is t8, and the predicted time length for reaching the target bus stop Sm is t9, wherein t7 < t8 < t 9. And the dispatching center respectively sends the number of passengers in the bus C and the predicted time length predicted to reach the target bus stops Sk, Sl and Sm to the target bus stops Sk, Sl and Sm. Therefore, on the display of the bus stop, the predicted arrival time period and the number of passengers in the vehicle of the nearest 3 buses to arrive at the station can be displayed. For example, for the target bus stop Sk, the number of passengers in the vehicle for display a is X, the expected arrival time period is t3, the number of passengers in the vehicle for display B is Y, the expected arrival time period is t5, the number of passengers in the vehicle for display C is Z, and the expected arrival time period is t 7. The passengers can selectively take the bus according to the information displayed by the bus stop, so that the situation that a certain bus is crowded and the seat occupancy rate of other buses is not high is avoided. For example, if a bus stop shows that a bus is substantially full, and the next bus does not need to wait for a long time and has a large carrying space, the waiting passenger can choose to wait for the next bus without blindly crowding the bus with the latest bus.
The bus interval scheduling method provided by the embodiment of the invention determines the total waiting number of the bus interval in the scheduling interval, determines the total bearable capacity of all buses running on line in the scheduling interval, and sends scheduling instructions to the idle buses in the station yard based on the difference value between the total waiting number and the total bearable capacity. The total waiting number of the buses in the dispatching interval and the total carrying capacity of all the buses running on line in the dispatching interval are monitored in real time, so that a basis is provided for dispatching the buses in the dispatching interval, and the passenger carrying efficiency in the dispatching interval and the utilization rate of the buses in the dispatching interval are improved. In addition, the number of passengers in the bus and the predicted arrival time at the target bus stop are sent to the display device of the target bus stop, and the predicted arrival time and the number of passengers in the bus of at least one bus which is closest to the arrival time can be displayed on the display of the bus stop. The passengers can selectively take the bus according to the information displayed by the bus stop, so that the situation that a certain bus is crowded and the seat occupancy rate of other buses is not high is avoided.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a bus interval scheduling apparatus provided in a third embodiment of the present invention, and as shown in fig. 3, the apparatus includes:
the total number of waiting people determining module 301 is used for determining the total number of waiting people in the scheduling interval;
a total bearable capacity determining module 302, configured to determine a total bearable capacity of all buses running online in a scheduling interval;
and the scheduling indication sending module 303 is configured to send a scheduling indication to an idle vehicle in the station yard based on the difference between the total number of waiting people and the total bearable capacity.
In some embodiments of the present invention, the total number of waiting people determining module 301 comprises:
the riding information acquisition unit is used for acquiring riding information sent by the user terminal;
and the total number of waiting people determining unit is used for determining the total number of waiting people in the scheduling interval in the riding interval based on the riding information.
In some embodiments of the present invention, the total number of waiting people determining module 301 comprises:
the historical number of waiting people acquiring unit is used for acquiring the historical number of waiting people in the scheduling interval of the riding interval in the current time period;
and the total number of waiting people calculating unit is used for calculating the average value of a plurality of historical number of waiting people as the total number of waiting people in the dispatching interval.
In some embodiments of the invention, the total bearable capacity determination module 302 comprises:
the image acquisition unit is used for acquiring in-vehicle images of all on-line buses in the scheduling interval;
and the total bearable capacity determining unit is used for determining the total bearable capacity of all buses in the dispatching interval according to the images in the buses.
In some embodiments of the present invention, the total bearable amount determination unit includes:
the target detection subunit is used for carrying out target detection on the images in the bus and detecting the number of passengers in the bus;
the first calculating subunit is used for calculating a difference value between the preset bearing quantity of the buses and the passenger quantity to obtain the bearable quantity of each bus;
and the second calculating subunit is used for calculating the sum of the bearable capacity of each bus to obtain the total bearable capacity of all buses in the dispatching interval.
In some embodiments of the present invention, the bus interval scheduling apparatus further includes:
the first position information acquisition module is used for acquiring the position information of each bus;
determining K target bus stops in front of the bus based on the position information;
and sending the number of the passengers in the bus to the display equipment of the target bus stop.
In some embodiments of the present invention, the scheduling indication sending module 303 comprises:
and the adding and dispatching inter-regional vehicle indication sending unit is used for sending an adding and dispatching inter-regional vehicle indication when the total number of waiting people is more than the total bearable capacity.
In some embodiments of the present invention, the bus interval scheduling apparatus further includes:
the second position information acquisition module is used for acquiring the position information of each bus;
the time length calculating module is used for determining the expected time length of the bus reaching the target bus stop based on the position information;
and the duration sending module is used for sending the estimated duration to the display equipment of the target bus stop.
In some embodiments of the present invention, the bus interval scheduling apparatus further includes:
the historical data acquisition module is used for acquiring historical passenger flow data of each bus stop on a bus driving route;
and the interval time period determining module is used for determining the dispatching interval and the running time period of the running of the inter-vehicle according to the historical passenger flow data.
The bus interval scheduling device can execute the bus interval scheduling method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the bus interval scheduling method.
Example four
A fourth embodiment of the present invention provides a computer device, and fig. 4 is a schematic structural diagram of the computer device provided in the fourth embodiment of the present invention, as shown in fig. 4, the computer device includes:
a processor 401, a memory 402, a communication module 403, an input device 404, and an output device 405; the number of the processors 401 in the computer device may be one or more, and one processor 401 is taken as an example in fig. 4; the processor 401, the memory 402, the communication module 403, the input device 404 and the output device 405 in the computer apparatus may be connected by a bus or other means, and fig. 4 illustrates an example of connection by a bus. The processor 401, memory 402, communication module 403, input device 404, and output device 405 described above may be integrated on a computer device.
The memory 402 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as the modules corresponding to the bus interval scheduling method in the foregoing embodiments. The processor 401 executes various functional applications and data processing of the computer device by running software programs, instructions and modules stored in the memory 402, that is, the bus interval scheduling method described above is implemented.
The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the microcomputer, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 402 may further include memory located remotely from the processor 401, which may be connected to a computer device through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
And a communication module 403, configured to establish a connection with an external device (e.g., an intelligent terminal), and implement data interaction with the external device. The input device 404 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function controls of the computer apparatus.
The computer device provided by this embodiment can execute the bus interval scheduling method provided by any of the above embodiments of the present invention, and has corresponding functions and beneficial effects.
EXAMPLE five
An embodiment of the present invention provides a storage medium containing computer-executable instructions, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, the method for scheduling a bus interval according to any of the above embodiments of the present invention is implemented, where the method includes:
determining the total number of waiting people in a scheduling interval;
determining the total bearable capacity of all buses running on line in a dispatching interval;
and sending a scheduling instruction to the idle vehicles in the station yard based on the difference value between the total waiting number and the total bearable capacity.
It should be noted that, as for the apparatus, the computer device and the storage medium embodiment, since they are basically similar to the method embodiment, the description is relatively simple, and in relation to the description, reference may be made to part of the description of the method embodiment.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, and the computer software product may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions to enable a computer device (which may be a robot, a personal computer, a server, or a network device) to execute the bus interval scheduling method according to any embodiment of the present invention.
It should be noted that, in the above apparatus, each module, unit, and sub-unit included in the apparatus is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, the specific names of the functional modules are only for convenience of distinguishing from each other and are not used for limiting the protection scope of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by suitable instruction execution devices. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (12)
1. A bus interval scheduling method is characterized by comprising the following steps:
determining the total number of waiting people in a scheduling interval;
determining the total bearable capacity of all buses running on line in a dispatching interval;
and sending a scheduling instruction to the idle vehicles in the station yard based on the difference value between the total waiting number and the total bearable capacity.
2. The bus interval scheduling method according to claim 1, wherein determining the total number of waiting passengers in the scheduling interval comprises:
acquiring riding information sent by a user terminal;
and determining the total number of waiting people in the scheduling interval in the riding interval based on the riding information.
3. The bus interval scheduling method according to claim 1, wherein determining the total number of waiting passengers in the scheduling interval comprises:
obtaining the historical number of waiting people in a scheduling interval in a riding interval in the current time period;
and calculating the average value of the plurality of historical waiting persons as the total waiting persons in the dispatching section of the riding section.
4. The bus interval scheduling method according to any one of claims 1 to 3, wherein determining the total bearable capacity of all buses running online in the scheduling interval comprises:
acquiring in-vehicle images of all on-line buses in a scheduling interval;
and determining the total bearable capacity of all buses in the dispatching interval according to the images in the buses.
5. The bus interval scheduling method according to claim 4, wherein determining the total bearable capacity of all buses in the scheduling interval according to the in-vehicle image comprises:
carrying out target detection on the images in the bus to detect the number of passengers in the bus;
calculating the difference value between the preset bearing quantity of the buses and the passenger quantity to obtain the bearable quantity of each bus;
and calculating the sum of the bearable capacity of each bus to obtain the total bearable capacity of all buses in the dispatching interval.
6. The inter-bus dispatching method according to claim 5, further comprising:
acquiring position information of each bus;
determining K target bus stops in front of the bus based on the position information;
and sending the number of the passengers in the bus to the display equipment of the target bus stop.
7. The inter-bus dispatching method according to any one of claims 1-3, wherein sending dispatching instructions to the free vehicles in the yard based on the difference between the total waiting number and the total bearable capacity comprises:
and sending an increase and dispatch inter-regional vehicle indication when the total number of waiting people is more than the total bearable capacity.
8. The inter-bus dispatching method according to claim 1, further comprising:
acquiring position information of each bus;
determining the expected time length of the bus reaching a target bus stop based on the position information;
and sending the preset time length to the display equipment of the target bus stop.
9. The inter-bus dispatching method according to claim 1, further comprising:
acquiring historical passenger flow data of each bus stop on a bus driving route;
and determining the dispatching interval and the running time period of the inter-compartment vehicle running according to the historical passenger flow data.
10. The utility model provides an interval scheduling device of bus which characterized in that includes:
the total number of waiting people determining module is used for determining the total number of waiting people in the scheduling interval in the riding interval;
the total bearable capacity determining module is used for determining the total bearable capacity of all buses running on line in the dispatching interval;
and the scheduling indication sending module is used for sending scheduling indication to the idle vehicles in the station yard based on the difference value between the total waiting number and the total bearable capacity.
11. A computer device, comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the inter-bus dispatching method of any of claims 1-9.
12. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a bus interval scheduling method according to any one of claims 1 to 9.
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Application publication date: 20220201 |