Medical cargo transportation management method

Abstract

The invention relates to a medical cargo transportation management method, and the method comprises the steps: obtaining the logistics distribution list information of all medical cargoes with the same delivery address, and forming an initial distribution path set and logistics vehicles corresponding to each initial distribution path based on the logistics distribution list information of the medical cargoes; the logistics drivers execute delivery according to the initial delivery paths corresponding to the respective logistics vehicles, and the fatigue states of the logistics drivers in the process of driving the logistics vehicles and the traffic congestion indexes of the driving road sections are monitored; and adjusting a distribution path driven by the logistics driver according to the monitored fatigue state of the logistics driver and the traffic congestion index of the driving road section to obtain an adjusted distribution path, so that the logistics driver executes medical cargo distribution according to the adjusted distribution path. Therefore, the distribution management of the medical goods is realized, the initial distribution path is dynamically adjusted according to the fatigue state of the driver and the traffic jam condition of the driving road section, and the safe distribution of the medical goods is ensured.

Description

Technical Field

[0001] This invention relates to the field of logistics management, and more particularly to a method for managing the transportation of medical goods. Background Technology

[0002] Medical goods (or medical supplies), as a special type of cargo, require more stringent transportation management during logistics activities. Because medical goods are delivered in large quantities and are shipped from the same address to different delivery addresses, effective management of their transportation to ensure their safe and efficient arrival at their destination is crucial for medical goods transportation management.

[0003] Existing methods for managing the transportation of medical goods typically focus on the transportation status and management of key distribution nodes after a large quantity of medical goods has been shipped out. However, they cannot monitor the status of drivers, logistics vehicles, and transportation routes in real time. This results in not only low delivery efficiency but also significant safety risks, further reducing the efficiency of medical goods transportation management. Summary of the Invention

[0004] In view of this, the technical problem to be solved by the present invention is to provide a method for managing the transportation of medical goods in light of the above-mentioned prior art.

[0005] The technical solution adopted by the present invention to solve the above-mentioned technical problems is: a method for managing the transportation of medical goods, characterized by comprising the following steps:

[0006] Step 1: Obtain the logistics delivery information for each medical product with the same shipping address;

[0007] Step 2: Based on all the acquired logistics delivery order information, form an initial delivery route set for all medical goods and allocate logistics vehicles corresponding to each initial delivery route; wherein, the initial delivery route set includes at least one initial delivery route, and each initial delivery route delivers at least one medical item.

[0008] Step 3: Instruct the logistics drivers to deliver medical goods according to the initial delivery routes corresponding to their respective logistics vehicles;

[0009] Step 4: Monitor the fatigue level of logistics drivers while driving logistics vehicles and the traffic congestion index of the driving route.

[0010] Step 5: Based on the monitored fatigue status of logistics drivers and the traffic congestion index of the driving section, adjust the delivery route driven by the logistics drivers to obtain the adjusted delivery route.

[0011] Step 6: Instruct the logistics drivers to deliver the medical goods according to the adjusted delivery route.

[0012] Improved, in the medical goods transportation management method, the process of forming an initial set of delivery routes for all medical goods based on the acquired logistics delivery order information includes the following steps:

[0013] Step a1: Extract the delivery address and cargo specifications of each logistics delivery order, and use all extracted delivery addresses as delivery points to be coordinated.

[0014] Step a2: Find the receiving address that is furthest from the shipping address among all the delivery points to be coordinated, and use the furthest receiving address as the route planning reference point.

[0015] Step a3: Take the line segment connecting the shipping address and the route planning reference point as the delivery route planning baseline, and select the midpoint of the delivery route planning baseline as the center and half the length of the delivery route planning baseline as the radius to form a circular area. This circular area is used as the delivery radiation area for executing the same delivery route.

[0016] Step a4: Select all delivery addresses located within the delivery coverage area as the set of route planning coordination points;

[0017] Step a5: Perform overall planning processing on all addresses within the route planning coordination point set to obtain the optimal delivery route that fits the current route planning coordination point set;

[0018] Step a6: All delivery addresses located outside the delivery coverage area are designated as new delivery points to be coordinated. Steps a2 to a5 are then executed for each new delivery point until all new delivery points have an optimal delivery route that is suitable for them.

[0019] Further improvements include, during the execution of step a6, the following method for managing the transportation of medical goods:

[0020] Step b1: Determine whether all new delivery points to be coordinated are located within their respective delivery coverage areas.

[0021] If any new delivery point to be coordinated is not located within the corresponding delivery coverage area, then the new delivery point to be coordinated is treated as an independent delivery point to be coordinated, and the process proceeds to step b2; otherwise, the new delivery point to be coordinated is transferred to steps a2 to a5.

[0022] Step b2: Obtain the logistics vehicle closest to the new delivery point to be coordinated as a temporary dispatch vehicle, and instruct the temporary dispatch vehicle to perform the delivery task to the address of the new delivery point to be coordinated after completing the delivery at the current location.

[0023] Improved, in the medical goods transportation management method, step 4, the process of monitoring the fatigue state of logistics drivers during the operation of logistics vehicles includes the following steps:

[0024] The system acquires facial information of the driver during the driving process and processes it to obtain a facial fatigue index. The facial information includes the driver's blinking frequency, mouth opening frequency, and mouth opening amplitude deviation within a preset time period.

[0025] The system acquires information on the driver's body movements during driving and processes it to obtain a body fatigue index. The body movement information includes the frequency of the driver's shoulder shrugs and neck twists.

[0026] The vehicle trajectory information of logistics vehicles during their operation is obtained and processed to obtain the vehicle trajectory anomaly index; among which, the vehicle trajectory information is the deviation angle of the vehicle's driving direction from the center line of the lane where the vehicle is located.

[0027] Based on the obtained facial fatigue index, limb fatigue index, and vehicle trajectory anomaly index, a judgment is made to determine the driver's fatigue state.

[0028] In a further improvement, the process of making a judgment based on the obtained facial fatigue index, limb fatigue index and vehicle trajectory abnormality index in the medical goods transportation management method is as follows: when any two of the facial fatigue index, the limb fatigue index and the vehicle trajectory abnormality index reach the index threshold representing the fatigue state, it is determined that the driver has experienced driving fatigue; wherein, the monitoring time interval for monitoring the fatigue state is 1 minute, and the preset time period is 5 seconds.

[0029] Furthermore, in the aforementioned method for managing the transportation of medical goods, the facial fatigue index is calculated as follows:

[0030]

[0031] in, For the driver at time t i Facial fatigue index, For the driver at time t i blinking frequency, For the driver at time t i The frequency of mouth opening, For the driver at time t iThe deviation in the degree of mouth opening For the driver at time t i The mouth opening diameter, t1 is the moment when the driver's facial information is first obtained;

[0032] The limb fatigue index is calculated as follows:

[0033]

[0034] in, For the driver at time t i The physical fatigue index. For the driver at time t i The frequency of shoulder shaking, For the driver at time t i The frequency of neck twisting;

[0035] The vehicle trajectory anomaly index is calculated as follows:

[0036]

[0037] in, For logistics vehicles at time t i The vehicle trajectory anomaly index. For the direction of travel of logistics vehicles at time t i The angle of deviation from the center line of the lane where the vehicle is located.

[0038] Further, in the medical goods transportation management method, step 5, the process of adjusting the delivery route driven by the logistics driver based on the monitored fatigue status of the logistics driver and the traffic congestion index of the driving section, includes the following steps:

[0039] Step c1: Based on the obtained facial fatigue index, limb fatigue index, and vehicle trajectory anomaly index of the driver, calculate the driver's real-time comprehensive fatigue index; wherein, the comprehensive fatigue index is calculated as follows:

[0040]

[0041] in, For the driver at time t i The overall fatigue index;

[0042] Step c2: Based on the driver's real-time comprehensive fatigue index and the obtained traffic congestion index of the driving segment, obtain the risk index of the driver driving in the current fatigue state on the current driving segment; the risk index is calculated as follows:

[0043]

[0044] in, For the driver at time t i The risk level of driving in the current fatigue state on the current road section is as follows: For the current driving segment at time t i Traffic congestion index of driving sections;

[0045] Step c3: Make a judgment and take action based on the obtained risk index of the driver.

[0046] When the hazard index exceeds a preset hazard index threshold, proceed to step c4 to adjust the delivery route; otherwise, proceed to step c1; where the preset hazard index threshold is denoted as κ. TH ;

[0047] Step c4: Using the preset danger index threshold as the maximum danger index limit, and taking the driver's real-time fatigue state as a variable, calculate the traffic congestion index of the driving segment corresponding to the maximum danger index limit, and use the road segment corresponding to the calculated traffic congestion index of the driving segment as the target road segment; wherein, the traffic congestion index of the driving segment corresponding to the maximum danger index limit is marked as... The destination address is one of the initial delivery routes corresponding to the logistics vehicle, located ahead in the direction of travel on the target road segment.

[0048] Step c5: Switch the driver's driving route to the target route, and use the target route as the adjusted delivery route.

[0049] Compared with existing technologies, the advantages of this invention are as follows: The medical goods transportation management method of this invention forms an initial set of delivery routes for all medical goods based on the acquired logistics delivery order information with the same shipping address, and allocates logistics vehicles corresponding to each initial delivery route. Then, logistics drivers are instructed to deliver medical goods according to the initial delivery routes corresponding to their respective vehicles. The method monitors the fatigue level of logistics drivers and the traffic congestion index of the driving route, and adjusts the delivery routes driven by the logistics drivers based on the monitored fatigue level and traffic congestion index to obtain adjusted delivery routes. This allows logistics drivers to deliver medical goods according to the adjusted delivery routes. In this way, it not only achieves delivery management of medical goods but also dynamically adjusts the original initial delivery routes based on driver fatigue and traffic congestion, ensuring safe delivery of medical goods. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the specific embodiments of this disclosure or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0051] Figure 1 This is a schematic diagram of the medical goods transportation management method in an embodiment of the present invention;

[0052] Figure 2 This is a schematic diagram illustrating the process of monitoring the fatigue state of logistics drivers while driving logistics vehicles, as described in an embodiment of the present invention. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0054] To facilitate understanding of the embodiments of the present invention, further explanations and descriptions will be provided below with reference to the accompanying drawings and specific embodiments. These embodiments do not constitute a limitation on the embodiments of the present invention.

[0055] This embodiment provides a method for managing the transportation of medical goods. Specifically, see [link to relevant documentation]. Figure 1 As shown, the medical goods transportation management method in this embodiment includes the following steps:

[0056] Step 1: Obtain the logistics delivery information for each medical product with the same shipping address;

[0057] Step 2: Based on all the acquired logistics delivery order information, form an initial delivery route set for all medical goods and allocate logistics vehicles corresponding to each initial delivery route; wherein, the initial delivery route set includes at least one initial delivery route, and each initial delivery route delivers at least one medical item.

[0058] Step 3: Instruct the logistics drivers to deliver medical goods according to the initial delivery routes corresponding to their respective logistics vehicles;

[0059] Step 4: Monitor the fatigue level of logistics drivers while driving logistics vehicles and the traffic congestion index of the driving route.

[0060] Step 5: Based on the monitored fatigue status of logistics drivers and the traffic congestion index of the driving section, adjust the delivery route driven by the logistics drivers to obtain the adjusted delivery route.

[0061] Step 6: Instruct the logistics drivers to deliver the medical goods according to the adjusted delivery route.

[0062] It should be noted that in step 2 above, the process of forming an initial set of delivery routes for all medical goods based on all acquired logistics delivery order information includes the following steps a1 to a6:

[0063] Step a1: Extract the delivery address and cargo specifications of each logistics delivery order, and use all extracted delivery addresses as delivery points to be coordinated.

[0064] Step a2: Find the receiving address that is furthest from the aforementioned shipping address among all the delivery points to be coordinated, and use the furthest receiving address as the route planning reference point.

[0065] Step a3: Take the line segment connecting the delivery address and the route planning reference point as the delivery route planning baseline, and select the midpoint of the delivery route planning baseline as the center and half the length of the delivery route planning baseline as the radius to make a circular area, and take the circular area as the delivery radiation area for executing the same delivery route.

[0066] Step a4: Select all delivery addresses located within the delivery coverage area as the set of route planning coordination points;

[0067] Step a5 involves performing overall planning processing on all addresses within the route planning coordination point set to obtain the optimal delivery route that fits the current route planning coordination point set. The method for obtaining this optimal delivery route can employ mature techniques in current route planning, which will not be elaborated upon or limited here. Of course, this embodiment provides some reference code snippets for setting the optimal delivery route based on the ant colony algorithm:

[0068] Code snippet 1:

[0069] %% Initialization parameters

[0070] m = 80;

[0071] alpha = 1;

[0072] beta = 0.48;

[0073] vol = 0.2;

[0074] Q = 11;

[0075] Heu F = 1. / D;

[0076] Tau = ones(n,n);

[0077] Table = zeros(m,n);

[0078] iter = 1;

[0079] iter max = 500;

[0080] Route best=zeros(iter max,n); Length best=zeros(iter max,1); Lengthave=zeros(iter max,1);

[0081] Limit iter = 0;

[0082] Code snippet 2:

[0083] % Calculate the path distance for each ant: Length = zeros(m, 1);

[0084] for i=1:m

[0085] Route = Table(i,:);

[0086] for j=1:(n-1)Length(i)=Length(i)+D(Route(j),Route(j+1));

[0087] end

[0088] Length(i)=Length(i)+D(Route(n),Route(1));

[0089] end

[0090] Step a6: All delivery addresses located outside the delivery coverage area are designated as new delivery points to be coordinated. Steps a2 to a5 are then executed for each new delivery point until all new delivery points have an optimal delivery route that is suitable for them.

[0091] Considering the possibility that some new delivery points may not be covered by the delivery coverage area during the execution of the optimal delivery route, this embodiment further includes the following steps b1 to b2 during step a6:

[0092] Step b1: Determine whether all new delivery points to be coordinated are located within their respective delivery coverage areas.

[0093] If any new delivery point to be coordinated is not located within the corresponding delivery coverage area, then the new delivery point to be coordinated is treated as an independent delivery point to be coordinated, and the process proceeds to step b2; otherwise, the new delivery point to be coordinated is transferred to steps a2 to a5.

[0094] Step b2: Obtain the logistics vehicle closest to the new delivery point to be coordinated as a temporary dispatch vehicle, and instruct the temporary dispatch vehicle to perform the delivery task to the address of the new delivery point to be coordinated after completing the delivery at the current location.

[0095] As a method for monitoring driver fatigue in logistics drivers, see Figure 2 As shown, in this embodiment, the process of monitoring the fatigue state of logistics drivers while driving logistics vehicles includes the following steps:

[0096] The system acquires facial information of the driver during the driving process and processes it to obtain a facial fatigue index. The facial information includes the driver's blinking frequency, mouth opening frequency, and mouth opening amplitude deviation within a preset time period.

[0097] The system acquires information on the driver's body movements during driving and processes it to obtain a body fatigue index. The body movement information includes the frequency of the driver's shoulder shrugs and neck twists.

[0098] The vehicle trajectory information of logistics vehicles during their operation is obtained and processed to obtain the vehicle trajectory anomaly index; among which, the vehicle trajectory information is the deviation angle of the vehicle's driving direction from the center line of the lane where the vehicle is located.

[0099] Based on the obtained facial fatigue index, limb fatigue index, and vehicle trajectory anomaly index, a judgment is made to determine the driver's fatigue state.

[0100] Specifically, in this embodiment, the process of making a judgment based on the obtained facial fatigue index, limb fatigue index and vehicle trajectory abnormality index is as follows: when any two of the facial fatigue index, limb fatigue index and vehicle trajectory abnormality index reach the index threshold representing the fatigue state, it is determined that the driver has experienced driving fatigue; wherein, the monitoring time interval for monitoring the fatigue state is 1 minute, and the preset time period is 5 seconds.

[0101] More specifically, the aforementioned facial fatigue index, limb fatigue index, and vehicle trajectory anomaly index are calculated as follows:

[0102] (1) The facial fatigue index is calculated as follows:

[0103]

[0104] in, For the driver at time t i Facial fatigue index, For the driver at time t i blinking frequency, For the driver at time t i The frequency of mouth opening, For the driver at time t i The deviation in the degree of mouth opening For the driver at time t i The mouth opening diameter, t1 is the moment when the driver's facial information is first obtained.

[0105] (2) The calculation method for the limb fatigue index is as follows:

[0106]

[0107] in, For the driver at time t i The physical fatigue index. For the driver at time t i The frequency of shoulder shaking, For the driver at time t i The frequency of neck twisting.

[0108] (3) The calculation method for the vehicle trajectory anomaly index is as follows:

[0109]

[0110] in, For logistics vehicles at time t i The vehicle trajectory anomaly index. For the direction of travel of logistics vehicles at time t i The angle of deviation from the center line of the lane where the vehicle is located.

[0111] Specifically, in step 5 of this embodiment, the process of adjusting the delivery route driven by the logistics driver based on the monitored fatigue state of the logistics driver and the traffic congestion index of the driving section includes the following steps c1 to c5:

[0112] Step c1: Based on the obtained facial fatigue index, limb fatigue index, and vehicle trajectory anomaly index of the driver, calculate the driver's real-time comprehensive fatigue index; wherein, the comprehensive fatigue index is calculated as follows:

[0113]

[0114] in, For the driver at time t i The overall fatigue index;

[0115] Step c2: Based on the driver's real-time comprehensive fatigue index and the obtained traffic congestion index of the driving segment, obtain the risk index of the driver driving in the current fatigue state on the current driving segment; the risk index is calculated as follows:

[0116]

[0117] in, For the driver at time t i The risk level of driving in the current fatigue state on the current road section is as follows: For the current driving segment at time t i Traffic congestion index of driving sections;

[0118] Step c3: Make a judgment and take action based on the obtained risk index of the driver.

[0119] When the hazard index exceeds a preset hazard index threshold, proceed to step c4 to adjust the delivery route; otherwise, proceed to step c1; where the preset hazard index threshold is denoted as κ. TH ;

[0120] Step c4: Using a preset danger index threshold as the maximum danger index limit, and taking the driver's real-time fatigue state as a variable, calculate the traffic congestion index of the driving segment corresponding to this maximum danger index limit, and use the road segment corresponding to the calculated traffic congestion index of this driving segment as the target road segment; wherein, the traffic congestion index of the driving segment corresponding to this maximum danger index limit is marked as... The destination address is one of the initial delivery routes corresponding to the logistics vehicle, located ahead in the direction of travel on the target road segment.

[0121] Step c5: Switch the driver's driving route to the target route, and use the target route as the adjusted delivery route.

[0122] Although preferred embodiments of the present invention have been described in detail above, it should be clearly understood that various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for managing the transportation of medical goods, characterized in that, Includes the following steps: Step 1: Obtain the logistics delivery information for each medical product with the same shipping address; Step 2: Based on all the acquired logistics delivery order information, form an initial delivery route set for all medical goods and allocate logistics vehicles corresponding to each initial delivery route; wherein, the initial delivery route set includes at least one initial delivery route, and each initial delivery route delivers at least one medical item. Step 3: Instruct the logistics drivers to deliver medical goods according to the initial delivery routes corresponding to their respective logistics vehicles; Step 4: Monitor the fatigue level of logistics drivers while driving logistics vehicles and the traffic congestion index of the driving route. Step 5: Based on the monitored fatigue status of logistics drivers and the traffic congestion index of the driving section, adjust the delivery route driven by the logistics drivers to obtain the adjusted delivery route. Step 6: Instruct the logistics drivers to deliver the medical goods according to the adjusted delivery route.

2. The method for managing the transportation of medical goods according to claim 1, characterized in that, The process of forming an initial set of delivery routes for all medical goods based on all acquired logistics and delivery order information includes the following steps: Step a1: Extract the delivery address and cargo specifications of each logistics delivery order, and use all extracted delivery addresses as delivery points to be coordinated. Step a2: Find the receiving address that is furthest from the shipping address among all the delivery points to be coordinated, and use the furthest receiving address as the route planning reference point. Step a3: Take the line segment connecting the shipping address and the route planning reference point as the delivery route planning baseline, and select the midpoint of the delivery route planning baseline as the center and half the length of the delivery route planning baseline as the radius to form a circular area. This circular area is used as the delivery radiation area for executing the same delivery route. Step a4: Select all delivery addresses located within the delivery coverage area as the set of route planning coordination points; Step a5: Perform overall planning processing on all addresses within the route planning coordination point set to obtain the optimal delivery route that fits the current route planning coordination point set; Step a6: All delivery addresses located outside the delivery coverage area are designated as new delivery points to be coordinated. Steps a2 to a5 are then executed for each new delivery point until all new delivery points have an optimal delivery route that is suitable for them.

3. The method for managing the transportation of medical goods according to claim 2, characterized in that, The process of executing step a6 also includes: Step b1: Determine whether all new delivery points to be coordinated are located within their respective delivery coverage areas. If any new delivery point to be coordinated is not located within the corresponding delivery coverage area, then the new delivery point to be coordinated is treated as an independent delivery point to be coordinated, and the process proceeds to step b2; otherwise, the new delivery point to be coordinated is transferred to steps a2 to a5. Step b2: Obtain the logistics vehicle closest to the new delivery point to be coordinated as a temporary dispatch vehicle, and instruct the temporary dispatch vehicle to perform the delivery task to the address of the new delivery point to be coordinated after completing the delivery at the current location.

4. The method for managing the transportation of medical goods according to claim 1, characterized in that, Step 4, the process of monitoring the fatigue status of logistics drivers while driving logistics vehicles, includes the following steps: The system acquires facial information of the driver during the driving process and processes it to obtain a facial fatigue index. The facial information includes the driver's blinking frequency, mouth opening frequency, and mouth opening amplitude deviation within a preset time period. The system acquires information on the driver's body movements during driving and processes it to obtain a body fatigue index. The body movement information includes the frequency of the driver's shoulder shrugs and neck twists. The vehicle trajectory information of logistics vehicles during their operation is obtained and processed to obtain the vehicle trajectory anomaly index; among which, the vehicle trajectory information is the deviation angle of the vehicle's driving direction from the center line of the lane where the vehicle is located. Based on the obtained facial fatigue index, limb fatigue index, and vehicle trajectory anomaly index, a judgment is made to determine the driver's fatigue state.

5. The method for managing the transportation of medical goods according to claim 4, characterized in that, The process of making a judgment based on the obtained facial fatigue index, limb fatigue index and vehicle trajectory abnormality index is as follows: when any two of the facial fatigue index, limb fatigue index and vehicle trajectory abnormality index reach the index threshold representing the fatigue state, it is determined that the driver has experienced driving fatigue; wherein, the monitoring time interval for monitoring the fatigue state is 1 minute, and the preset time period is 5 seconds.

6. The method for managing the transportation of medical goods according to claim 5, characterized in that, The facial fatigue index is calculated as follows: in, For the driver at time t i Facial fatigue index, For the driver at time t i blinking frequency, For the driver at time t i The frequency of mouth opening, For the driver at time t i The deviation in the degree of mouth opening For the driver at time t i The mouth opening diameter, t1 is the moment when the driver's facial information is first obtained; The limb fatigue index is calculated as follows: in, For the driver at time t i The physical fatigue index. For the driver at time t i The frequency of shoulder shaking, For the driver at time t i The frequency of neck twisting; The vehicle trajectory anomaly index is calculated as follows: in, For logistics vehicles at time t i The vehicle trajectory anomaly index. For the direction of travel of logistics vehicles at time t i The angle of deviation from the center line of the lane where the vehicle is located.

7. The method for managing the transportation of medical goods according to claim 1, characterized in that, In step 5, the process of adjusting the delivery route driven by the logistics driver based on the monitored fatigue status of the logistics driver and the traffic congestion index of the driving section includes the following steps: Step c1: Based on the obtained facial fatigue index, limb fatigue index, and vehicle trajectory anomaly index of the driver, calculate the driver's real-time comprehensive fatigue index; wherein, the comprehensive fatigue index is calculated as follows: in, For the driver at time t i The overall fatigue index; Step c2: Based on the driver's real-time comprehensive fatigue index and the obtained traffic congestion index of the driving segment, obtain the risk index of the driver driving in the current fatigue state on the current driving segment; the risk index is calculated as follows: in, For the driver at time t i The risk level of driving in the current fatigue state on the current road section is as follows: For the current driving segment at time t i Traffic congestion index of driving sections; Step c3: Make a judgment and take action based on the obtained risk index of the driver. When the hazard index exceeds a preset hazard index threshold, proceed to step c4 to adjust the delivery route; otherwise, proceed to step c1; where the preset hazard index threshold is denoted as κ. TH ; Step c4: Using the preset danger index threshold as the maximum danger index limit, and taking the driver's real-time fatigue state as a variable, calculate the traffic congestion index of the driving segment corresponding to the maximum danger index limit, and use the road segment corresponding to the calculated traffic congestion index of the driving segment as the target road segment; wherein, the traffic congestion index of the driving segment corresponding to the maximum danger index limit is marked as... The destination address is one of the initial delivery routes corresponding to the logistics vehicle, located ahead in the direction of travel on the target road segment. Step c5: Switch the driver's driving route to the target route, and use the target route as the adjusted delivery route.

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