CN109919550B - Crowdsourcing express delivery system and method based on rail vehicle - Google Patents
Crowdsourcing express delivery system and method based on rail vehicle Download PDFInfo
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Abstract
The invention belongs to the technical field of logistics distribution systems, and discloses a crowdsourcing express system and a crowdsourcing express method based on rail vehicles, wherein the positions of logistics stations and light rail stations and the point setting mode of an express cabinet are determined according to a cluster analysis method; the method comprises the steps that a GPS position positioning technology is adopted to obtain the geographic position of a passenger, an APP background terminal automatically plans the trip information and the transfer route of the passenger, and processes the positions of a logistics station and a light rail station and the feedback information of an express cabinet; through GPS, RFID technique, monitor express delivery parcel position and safety, effectively acquire relevant access information such as access time, access people, access place and feed back to the terminal in real time through the control of intelligence express delivery cabinet and RFID technique. The invention can not only reduce the environmental pressure, but also obtain additional income so as to reduce the travel cost; through technologies such as GPS, RFID, monitor express delivery parcel position and safety.
Description
Technical Field
The invention belongs to the technical field of logistics distribution systems, and particularly relates to a crowdsourcing express delivery system and method based on a rail vehicle.
Background
Currently, the current state of the art commonly used in the industry is such that:
the traditional logistics distribution needs manual scanning and identification, public labor force cannot be effectively integrated, pressure of a road network is relieved, logistics transportation cost is high, and meanwhile travel cost cannot be reduced for carriers.
Novel express company in same city, if dodge and send, people's express delivery etc. and all promise can provide the express delivery service of 1h to 3h in same city, can effectively guarantee to give birth to bright product etc. and require higher delivery demand to the time delay of delivering. And the novel city-sharing express company emphatically completes related delivery businesses in a crowdsourcing mode by recruiting free couriers, and the delivery personnel realize door-to-door delivery services by means of road vehicles such as electric motorcycles and the like in the forms of issuing orders by users and receiving orders by the free couriers, determine the traveling route of the free couriers by related positioning services such as GPS and the like, and determine the reward money by related factors such as the types of delivered products, the delivery distance and the like.
Similar academic research:
big data driven subway crowdsourcing express systems Zhang Kunfang, lu Mingming, zheng Lin (university of south-central university, institute of information science and engineering, hunan Changsha 410083);
subway distribution network path optimization problem with time window Zhou Fangting, zhang Jin, zhou Guohua (southwest university of transportation, chengdu 610031)
Mode innovation of subway participation city logistics-survey based on Ningbo city Ge Honglei, water science Lei, chen Wei (1. Ningbo theory of university, ningbo 315100, ningbo city transportation Association, ningbo 315100
In summary, the problems of the prior art are:
(1) In the prior art, idle transportation energy of urban rail transit is not utilized, and the aim of logistics distribution among medium and long distances in the same city is fulfilled by transferring passengers among corresponding logistics stations and rail stations; the whole course of delivery does not pass through GPS, RFID, technologies such as the relevant signal feedback of cell-phone carry out real-time supervision in order to ensure the security of goods, the whole intelligent operation of delivery is poor, can not make full use of the great transport capacity of rail transit and the high speed of traveling effectively integrate masses' labour, alleviate road network pressure, can not effectively reduce the commodity circulation cost of transporting in the city, can not carry out commission reward to the carrier simultaneously, reduce the cost of going on a journey, cause the user satisfaction poor, the resource maximization utilization effect is poor.
(2) The following problems exist in the similar technologies such as flash delivery and human-human express delivery:
insufficient delivery capacity:
novel express companies such as flash delivery, people's express delivery recruit free couriers through crowdsourcing mode and deliver in order to reduce professional courier's manpower delivery cost, but because relevant factors such as free courier's time limit, the uniqueness of order have decided free courier's delivery time, scope are uncertain, and free courier's quantity can not obtain the assurance, can not effectively accomplish 1h of committing to when selling in the busy season and reach, cause the delivery delay of longer time even.
The quality of service problem:
the uniqueness of the courier service for "door-to-door" even though crowdsourced logistics companies have mandatory regulations on delivery requirements. However, due to the characteristics of different related working backgrounds, generally lower working threshold, low specialty and the like of free express persons, uniform enterprise culture is lacked for guidance, and the service quality of crowdsourcing of express cannot be guaranteed.
The problem of supervision failure:
some crowdsourcing logistics companies expand the number of free express persons in a large quantity for pursuing capacity, application thresholds of the free express persons are reduced, most of the free express persons can participate in delivery only by being aged over 18 years, due to the particularity of the working properties of the free express persons, the logistics companies cannot guarantee the working quality of the free express persons, and the free express persons cannot be efficiently and pertinently managed through related company disciplines or enterprise culture spirits, so that the professional moral of the distributors is easily reduced, and the management careless omission of low delivery quality, improper handling of complaint requirements and the like is caused. Crowdsourcing express delivery belongs to one of emerging industries, breaks away from the jurisdiction scope of the traditional logistics industry, and related laws and regulations are still in the improvement process, so that the situation that effective supervision cannot be performed legally easily appears.
The problem of low efficiency:
the existing service of the same-city express company basically takes orders such as fast food, fresh products and the like with high requirements on delivery time delay or customized requirements of users with high requirements as main materials, free couriers cannot deliver operation services in batches due to the diversity of the orders, efficiency cannot be improved by effectively utilizing a crowdsourcing mode, only the mode of the free couriers is adopted to reduce labor cost, personalized customized requirements are provided to achieve door-to-door service, and social resources cannot be effectively integrated to deliver.
The cost problem is as follows:
due to the uniqueness of the order and the requirement of the distribution range, free couriers rely on road vehicles such as electric vehicles to carry out distribution service, the increasing of express demands and the uncertainty of the number of the free couriers in the distribution process require that the express company needs to allocate a certain number of professional distribution personnel and distribution tools to solve the problem that the free couriers are insufficient, so that the operation cost and the social resource consumption of the express company are increased, and adverse effects on the road congestion condition are caused to a certain extent.
Safety problems are as follows:
due to the fact that the professionalism of most of free express delivery people is not strong
Because the demand for free express persons is huge, the auditing mechanism of the existing express company for the free express persons is loose, people advocating that all express persons can easily know the relevant information of order users and utilize the information in such a way, and the 'door-to-door' service is quick and convenient, but also can take the opportunity for some lawless persons, and easily causes adverse effects on the order users.
Due to the reasons of high demand of platform order delivery and the like, part of express delivery personnel do not obey traffic rules in the road delivery process in order to pursue more commissions, and behaviors such as overload, overspeed, random turning and the like are visible everywhere, so that the behaviors not only threaten the personal life safety of the express delivery personnel, but also cause adverse effects or even danger to other vehicles and pedestrians on the road.
The environmental protection problem is as follows:
no matter the traditional logistics enterprises such as the Shunfeng and the 'tee joint' enterprises are or a series of emerging same-layer express fast transportation companies such as the Dada and the flash delivery enterprises, when goods are transported in the same city, road vehicles such as minibuses and motorcycles are adopted for multiple transportation. In order to save cost, related enterprises rarely perform related maintenance on a delivery vehicle, the internal aging of the automobile is serious due to excessive and overyear use, the exhaust emission does not accord with related environmental protection regulations, and the automobile can cause energy waste.
The difficulty of solving the technical problems is as follows:
because the popularity of crowdsourcing of express delivery still needs to be improved, most crowds are still in the state of looking after to the free courier who people express delivery equals city express delivery company and advocate, and the participation is lower earlier stage, can't effectively utilize social resource to carry out the express delivery. The fact that the free couriers need to use time to carry out special delivery service also causes that most of the free couriers have concentrated delivery time on weekends and uncertain delivery ranges, and the problem of insufficient delivery capacity is caused to a certain extent, and the expected idea that delivery is carried out completely by free couriers cannot be achieved.
The huge demand of the emerging market for free couriers determines that the threshold for applying for the free couriers is lower to a certain extent, the existing city-owned express company simplifies the related professional knowledge education requirements of the free couriers and the auditing system of the free couriers in order to attract common citizens to become the free couriers, and although the number of the free couriers is increased in a short period, due to the lack of the cultural spirit of enterprises, the loss speed and the degree of the later free couriers are higher after the early attraction of bonus attraction is lacked. The relaxation of the related auditing system also reduces the service quality of free express delivery personnel to a certain extent, increases the potential safety hazard of users, and due to the particularity of the working property of the free express delivery personnel, the delivery method mainly relying on road traffic to carry out delivery service and other related factors also ensure that the conventional same-city express delivery company cannot provide effective guarantee for the safety problem of the express delivery personnel.
Although green energy vehicles have been popularized among the public and have a certain effect, the current overall social configuration needs to be improved, and the green energy vehicles mainly exist as private transportation travel tools. Both express companies and free express persons adopt common vans and motorcycles which consume large energy sources to transport, and the problems of environmental pollution and high cost cannot be effectively avoided.
In order to relieve urban traffic pressure and alleviate urban air pollution problems, most cities adopt a number-limited trip mode. In order to normally carry out the transferring work during the number limiting period, a transferring company needs to be provided with a certain number of minivans, and the cost is further increased. Due to the fact that the traffic pressure of urban road surfaces is too large, even if the traffic pressure is limited, the generation of jam conditions cannot be avoided, and particularly the transportation process of long and medium distances such as the transregional traffic in the same city is avoided. The traditional road surface transportation tool not only wastes time and has low efficiency, thereby causing delayed delivery of goods, the accident probability is improved to a certain extent by the complicated road surface traffic condition, and the noise, tail gas and the like in the whole process cause great pollution to the urban environment.
The significance of solving the technical problems is as follows:
with the social and economic level and the rapid development of electronic commerce, the logistics pressure in cities is increasing day by day. At present, express logistics transportation in cities is mainly carried out by road centralized transportation, along with the rapid expansion of urban economic scale and total logistics transportation amount in China, the problems of saturated road transportation capacity, higher logistics distribution cost, environmental pollution in distribution process, urban road number limitation and the like are increasingly highlighted, and the increasing distribution requirements in the cities can not be met by single road centralized transportation. The rail transit and crowdsourcing logistics mode are organically combined, the safety problem and the environmental pollution problem in the traditional express delivery process are effectively avoided, the large transportation capacity and the high running speed of the rail transit are fully utilized, the whole process is intelligent, and the labor cost of an enterprise is effectively reduced; the express package position and safety are monitored by means of GPS, RFID and other technical means, so that the safety and integrity of carried goods are effectively guaranteed, and the transfer benefit of an enterprise is improved to a greater extent; meanwhile, the passenger is paid with commission reward, the travel cost is reduced, the user satisfaction is improved, the environmental pressure can be reduced, extra income can be obtained, the travel cost is reduced, and the resource is utilized to the maximum extent.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a crowdsourcing express delivery system and method based on a rail vehicle.
The invention is realized in such a way that a crowdsourcing express delivery method based on a rail vehicle comprises the following steps: determining the positions of the logistics stations and the light rail stations and the point setting mode of the express delivery cabinet according to a cluster analysis method: taking population density and logistics transfer capacity as reference factors for determining the placement site and scale of the intelligent express cabinet; determining a user staying area with high population density by utilizing a passenger mobile phone signaling data centralized area; carrying out cluster analysis on the transport capacity of known logistics sites in the city to obtain a plurality of logistics density centers; iterating the central point of the passenger staying area in the neighborhood range of the logistics density center through a cluster algorithm to obtain an alternative station set; determining the scale of an express cabinet at an alternative site by an analytic hierarchy process;
the method comprises the steps that a GPS position positioning technology is adopted to obtain the geographic position of a passenger, an APP background terminal automatically plans the trip information and the transfer route of the passenger, and processes the positions of a logistics station and a light rail station and the feedback information of an express cabinet;
after receiving the processed information, receiving orders on the pedestrian and passenger network, picking up express packages according to the planned route and distributing;
through GPS, RFID technique, monitor express delivery parcel position and safety, effectively acquire relevant access information such as access time, access people, access place and feed back to the terminal in real time through the control of intelligence express delivery cabinet and RFID technique.
Further, an area point set where the passenger mobile phone signaling data stays in a centralized mode is defined as a user staying area, and is defined as T = { T = } 1 ，T 2 ......T n N represents the number of points in the area, and the geometric center in the staying area is taken as a central point T' of the staying area, namely the staying point;
all stopping points on the rail transit operation line are obtained through a mobile phone signaling data analysis method;
and determining the final station by using a DBSCAN clustering algorithm.
Further, the DBSCAN clustering algorithm includes: points with the number more than MinPts in the field of the Eps exist in the data source, a cluster is newly built by taking the points in the field of the Eps existing in the data source as a core object, and all the points are iterated according to the principle that the density can be reached until no point is added into any cluster;
performing related iterative calculation through a cluster algorithm to obtain a staying point required by related crowd density and a central point with higher logistics transfer density;
given a neighborhood radius Eps, a density threshold value minEps, a user staying center P and a logistics transfer density center point C, regarding a center point P epsilon P of any user staying area, taking P as the center and Eps as the radius, determining that the number of logistics transfer density center points is more than or equal to the density threshold value minEps, and determining the point P as a logistics site.
Further, optimizing the optimal route of multi-point express delivery by adopting an LTL theoretical method;
due to the particularity of the subway time window and the uniqueness of the express orders, the transfer process of express delivery by rail transit has a relatively complex delivery environment and a large number of delivery requirements. The optimal route of multi-point express delivery is optimized by adopting an LTL theoretical method, the influence of time nodes in the process of finding the optimal route is avoided aiming at the complex delivery environment and a large number of delivery demands in the track transfer process, the shortest delivery route and the shorter delivery time are effectively ensured, and therefore the delivery efficiency is improved, and the delivery cost is reduced. The LTL theoretical method can be divided into two parts of environment modeling, task requirement conversion and optimal path searching. Modeling the position of an intelligent express cabinet to form a switchable system network, converting task requirements into a linear time sequence logic relationship for description, and combining the linear time sequence logic relationship with the position of the express cabinet to obtain a new set, wherein the new set forms a new system network; and searching an optimal path in the system network by adopting a Dijkstra algorithm, and automatically returning to the initial system after the optimal path is found to obtain the optimal path in the actual distribution environment.
Another object of the present invention is to provide a rail vehicle-based crowd-sourced express delivery system, including:
the position planning module of the logistics station and the light rail station is used for determining the positions of the logistics station and the light rail station and the point setting mode of the express delivery cabinet according to a clustering analysis method;
the information processing module is used for automatically planning an express delivery distribution route and processing the positions of the logistics stations and the light rail stations and the feedback information of the express cabinet;
the communication module is used for sending the information processed by the information processing module to the intelligent terminal;
the intelligent terminal receives the information of the information processing module and is used for receiving orders on the internet of pedestrians and passengers, getting express packages according to a planned route and distributing the express packages;
and the safety monitoring module monitors the position and safety of the express package through GPS and RFID technologies.
Further, the crowd-sourced express delivery system based on rail vehicles further comprises: a track for transporting the package; a base station for shelving the package.
Further, the position planning module of the logistics site and the light rail site is further used for determining the positions of the logistics site and the light rail site and the point setting mode of the express delivery cabinet according to a clustering analysis method: taking population density and logistics transfer capacity as main reference factors for determining the placement site and scale of the intelligent express cabinet, analyzing a user stop point by using mobile phone signaling data when analyzing the population density, determining an alternative site by combining a time window of rail transit and related logistics transfer capacity data, analyzing the user stop point, and determining a final site and a related scale; performing relevant iterative calculation by using a core thought of a DBSCAN clustering algorithm and a cluster algorithm to obtain a stopping point meeting the requirement of relevant crowd density and a central point with higher logistics transfer density, and determining a position plan;
the information processing module also adopts a GPS position positioning technology to effectively acquire the geographic position of the passenger, the APP background terminal reasonably plans the travel information of the passenger on the transportation route, and processes the positions of the logistics station and the light rail station and the feedback information of the express delivery cabinet.
Further, when the intelligent terminal interrupts the distribution process due to other factors in the distribution process, the system is designed into a seamless switching state with other application programs in advance, and proper system resources are adopted to inform a user;
the intelligent terminal also obtains a Baidu map development kit and functions through an Eclipse platform and is used for planning distribution routes on a map to provide conditions; constructing an express information storage database to store express information uploaded by an express enterprise; through a user login page, a free express person logs in to obtain related delivery information; performing related optimization on the optimal route of multi-point express delivery by adopting an LTL theoretical method;
carry out monitoring module configuration intelligence express delivery cabinet safely and access the goods, will be correlated with access information feedback to intelligent terminal by intelligence express delivery cabinet at the access in-process, carry out real-time feedback to the transition state of goods.
Another object of the present invention is to provide a terminal, which at least carries a processor for implementing the rail vehicle-based crowd-sourced express delivery method.
Another object of the present invention is to provide a computer-readable storage medium, which includes instructions that, when executed on a computer, cause the computer to execute the rail vehicle-based crowd-sourced express delivery method.
The invention mainly utilizes the idle transportation energy of urban rail transit to achieve the purpose of logistics distribution among great distances in the same city through the transfer of passengers between corresponding logistics stations and rail stations. The carrier can independently select to carry the starting point and the route, can also provide relevant trip information and carry the route by the relevant planning of PC end intelligence, can get the goods after intelligent identification and carry out relevant operation, and the delivery is whole to carry out real-time supervision through technologies such as GPS, RFID, relevant signal feedback of cell-phone to ensure the security of goods, can get corresponding commission after the delivery process is successful. Whole intelligent operation of whole mode need not artifical scanning discernment, and the great transport capacity of make full use of rail transit and higher speed of traveling effectively integrate masses' labour, alleviate road network pressure, effectively reduce the inside commodity circulation cost of transporting in city, carry out commission reward to the carrier simultaneously, reduce the cost of going on a journey, improve user satisfaction, realize resource maximize utilization.
In summary, the advantages and positive effects of the invention are:
the express delivery system is used for carrying out long-distance express delivery in the same city by depending on the characteristics of smooth and punctual rail transit, environmental protection, large delivery capacity and the like, so that the pressure of road transportation is reduced, the delivery efficiency is improved, and the safety problem and the environmental pollution problem in the traditional express delivery process are effectively avoided; the mode has wider audience range and is intelligent in the whole process, so that the labor cost of an enterprise is effectively reduced, and the transfer benefit of the enterprise is greatly improved; the passengers who select the track trip can freely select to carry one or more parcels, obtain commission rewards while traveling in green, and can reduce environmental stress and obtain extra income so as to reduce the traveling cost.
The invention adopts rail transit to replace the traditional road transportation for carrying out the medium-long distance transportation in the same city, and has the characteristics of punctual smoothness, large transportation capacity, environmental protection, large passenger flow and the like. From the perspective of energy consumption and pollution conditions, energy consumption per hundred kilometers of people is 8.4% of that of cars in public transportation and 5% of that of cars in rail transportation. As for the emission of CO2 by people, the track is 21.7% of a car, and the problems of environmental pollution and energy waste can be effectively avoided by carrying out medium-long distance transportation in the same city by means of track traffic. The '2018 courier group insight report' issued by the people network shows that in 2016, the number of Chinese couriers is increased by 50 percent, the total number reaches 300 ten thousand and the average wage is about 6200 yuan. The shared proportion of express delivery person's wage expenditure in the cost expenditure of whole express delivery industry is not a little worth, adopts the passenger as the scheme that the free express delivery people transported the activity in daily trip can effectively reduce expenses such as wage and insurance to the professional, only needs to pay a small amount of commissions for the carrier, and effectual reduction express delivery industry cost and passenger's trip expense, the make full use of social resource fully integrates.
Determining the positions of the logistics sites and the light rail sites and the point setting scale of the express cabinet according to algorithms such as cluster analysis and the like: the method comprises the steps of obtaining a user staying area through analysis of passenger mobile phone signaling data, obtaining a geometric center of the area as a user staying point, obtaining a logistics density central point through GPS positioning signaling data of a logistics transfer vehicle in the same way, obtaining the staying point meeting the requirements of related crowd density and a central point with larger logistics transfer density through a core thought of a DBSCAN clustering algorithm, and performing related iterative computation through the clustering algorithm to obtain the point setting scale of the intelligent express cabinet. Simultaneously with flow of people, goods transportation flow and subway time window combine together, the scientific definite logistics station of confirming and the set point scale of intelligent express delivery cabinet, make full use of resource avoids dropping into the idle waste that the express delivery cabinet scale is too big and cause.
The express delivery distribution route is planned automatically, the feedback information of the express delivery cabinet is processed, more factors can be involved in the process of carrying out long-distance logistics transfer in the same city by means of rail transit and passengers, and a large amount of time is consumed by using conventional linear programming solution, and even the solution cannot be carried out. In the actual distribution process, a better distribution scheme needs to be quickly generated according to the distribution requirement, and the invention mainly aims at goods which reach a logistics site in the time before the distribution date and need to be transferred, namely E-commerce packages. Aiming at the characteristic, the path planning problem between the logistics point and the intelligent express cabinet is regarded as a VRP problem, the waiting time is optimized, the optimized express delivery distribution route is provided in a short time, the time resource is effectively saved, and the transfer efficiency is improved. When people and goods are unbalanced in high and low peaks, the feedback information of the platform sending and receiving information and the feedback information of the express cabinet taking and storing are integrated, the information is fed back to the platform and then the background secondary planning is carried out to send the information, and the situation that the people and the goods are unbalanced is effectively avoided.
And the pedestrians and the passengers receive orders on the internet, take the express packages according to the planned route and distribute the packages. The platform provided by the invention can be used for planning routes according to the travel information and the travel willingness of pedestrians and passengers, can adopt personalized travel customization, has wide audience range and strong operability, and effectively avoids inconvenience of a carrier caused by unclear information.
Through technologies such as GPS, RFID, monitor express delivery parcel position and safety. The whole process of carrying receives the monitoring of backstage geographical position through cell-phone GPS, can provide effectual route planning information to the carrier, with parcel transfer information feedback to the platform simultaneously, effectively ensures that the normal transfer process of express delivery parcel receives the safety guarantee, and after the transfer process, intelligence express delivery cabinet passes through RFID technique automatic identification parcel information feedback to the platform, carries out follow-up operation. Whole transportation process is intelligent, and the RFID label need not artifical discernment, has both saved the human cost expenditure, has also effectively avoided information leakage.
Drawings
Fig. 1 is a schematic view of a crowdsourcing express delivery system based on a rail vehicle according to an embodiment of the present invention.
Fig. 2 is a flow of platform construction and a related schematic diagram provided in an embodiment of the present invention.
Fig. 3 is a diagram of a path planning method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the prior art, idle transportation energy of urban rail transit is not utilized, and the purpose of logistics distribution among long distances in the same city is achieved through transfer of passengers among corresponding logistics stations and rail stations; the safety of goods is ensured by monitoring in real time in the whole distribution process without technologies such as GPS, RFID and mobile phone related signal feedback, the intelligent operation in the whole distribution process is poor, the large transportation capacity of rail transit and high running speed can not be fully utilized, mass labor force can not be effectively integrated, the pressure of a public road network is relieved, the logistics transportation cost in a city can not be effectively reduced, commission rewards can not be carried out on carriers, the travel cost is reduced, the user satisfaction is poor, and the resource maximization utilization effect is poor.
To solve the above problems, the present invention will be described in detail with reference to specific embodiments.
The crowd-sourced express delivery method based on the rail vehicle provided by the embodiment of the invention comprises the following steps:
determining positions of a logistics site and a light rail site and a point setting mode of an express cabinet according to a cluster analysis method; taking population density and logistics transfer capacity as reference factors for determining the placement site and scale of the intelligent express cabinet; and analyzing the population density of the user stop point by using the mobile phone signaling data, determining an alternative station by combining the time window of the rail transit and the data of the transportation volume of the related logistics, and analyzing the user stop point to determine a final station.
The geographic position of the passenger is obtained by adopting a GPS position positioning technology, the trip information and the transfer route of the passenger are automatically planned by the APP background terminal, and the positions of the logistics station and the light rail station and the feedback information of the express cabinet are processed.
And after receiving the processed information, receiving orders on the pedestrian and passenger networks, picking up express packages according to the planned route and distributing the express packages.
Through GPS, RFID technique, monitor express delivery parcel position and safety, effectively acquire relevant access information such as access time, access people, access place and feed back to the terminal in real time through the control of intelligence express delivery cabinet and RFID technique.
In the embodiment of the invention, the area point set of the signaling data of the mobile phone of the passenger is defined as the user staying area as T = { T = (T) } 1 ，T 2 ......T n N represents the number of points in the area, and the geometric center in the staying area is taken as the central point T' of the staying area, namely the staying point;
all stopping points on the rail transit operation line are obtained through a mobile phone signaling data analysis method;
and determining the final station by using a DBSCAN clustering algorithm.
In the embodiment of the present invention, the DBSCAN clustering algorithm includes: points with the number more than MinPts in the field of the Eps exist in the data source, a cluster is newly built by taking the points in the field of the Eps existing in the data source as a core object, and all the points are iterated according to the principle that the density can be reached until no point is added into any cluster.
And performing related iterative calculation through a cluster algorithm to obtain a dwell point required by related crowd density and a central point with higher logistics transfer density.
Given a field radius Eps, a density threshold value minEps, a user staying center P and a logistics transfer density center point C, regarding any user staying area center point P epsilon P, taking P as the center and Eps as the radius, determining that the number of logistics transfer density center points is more than or equal to the density threshold value mihEPs, and determining the point P as a logistics station.
In the embodiment of the invention, the optimal route for multi-point express delivery is optimized by adopting an LTL theoretical method. Due to the particularity of the subway time window and the uniqueness of the express orders, the transfer process of express delivery by rail transit has a relatively complex delivery environment and a large number of delivery requirements. The optimal route of multi-point express delivery is optimized by adopting an LTL theoretical method, the influence of time nodes in the process of finding the optimal route is avoided aiming at the complex delivery environment and a large number of delivery demands in the track transfer process, the shortest delivery route and the shorter delivery time are effectively ensured, and therefore the delivery efficiency is improved, and the delivery cost is reduced. The LTL theoretical method can be divided into two parts of environment modeling, task requirement conversion and optimal path searching. Modeling the position of an intelligent express cabinet to form a switchable system network, converting task requirements into a linear sequential logic relationship for description, and combining the linear sequential logic relationship with the position of the express cabinet to obtain a new set, wherein the new set forms a new system network; and searching an optimal path in the system network by adopting a Dijkstra algorithm, and automatically returning to the initial system after the optimal path is found to obtain the optimal path in the actual distribution environment.
Based on the method, the invention is further described below by combining a crowdsourcing express system based on a rail vehicle.
As shown in fig. 1, the crowd-sourced express delivery system based on rail vehicles provided by the embodiment of the present invention includes:
and the position planning module of the logistics station and the light rail station is used for determining the positions of the logistics station and the light rail station and the point setting mode of the express cabinet according to the cluster analysis method.
And the information processing module is used for automatically planning an express delivery distribution route and processing the positions of the logistics station and the light rail station and the feedback information of the express cabinet.
And the communication module is used for sending the information processed by the information processing module to the intelligent terminal.
And the intelligent terminal receives the information of the information processing module and is used for receiving orders on the pedestrian and passenger network, picking up express packages according to the planned route and distributing the express packages.
And the safety monitoring module monitors the position and safety of the express package through GPS and RFID technologies.
In an embodiment of the present invention, the rail vehicle-based crowd-sourced express delivery system further includes: a track for transporting the package; a base station for shelving the package.
In the embodiment of the present invention, the position planning module of the logistics site and the light rail site is further configured to determine the positions of the logistics site and the light rail site and the point setting mode of the express delivery cabinet according to a cluster analysis method: the method comprises the steps that population density and logistics transfer volume are used as main reference factors for determining the placement sites and scales of the intelligent express delivery cabinet, when population density is analyzed, mobile phone signaling data are mainly used for analyzing a user stop point, due to the fact that the running speed of rail transit and the stop sites are fixed, alternative sites can be determined by combining time windows of the rail transit and data of the transportation volume of related logistics, and then the user stop points are used for analyzing to determine final sites and related scales. Performing relevant iterative calculation by using a core thought of a DBSCAN clustering algorithm and a cluster algorithm to obtain a stopping point meeting the requirement of relevant crowd density and a central point with higher logistics transfer density, and determining a position plan;
the information processing module is also used for effectively acquiring the geographic position of the passenger by adopting a GPS (global positioning system) position positioning technology, reasonably planning a transportation route by the APP background terminal aiming at the trip information of the passenger in order to effectively improve the transportation efficiency of the passenger, pursuing the transportation efficiency of effectively improving logistics transportation under the condition of fully meeting the trip demand of the passenger to be used for automatically planning an express delivery route, and processing the positions of a logistics site and a light rail site and the feedback information of an express delivery cabinet.
The communication module is also used for sending the information processed by the information processing module to the intelligent terminal.
The intelligent terminal receives the information of the information processing module, is also used for receiving orders on the network of pedestrians and passengers, receiving express packages according to the planned route and delivering the express packages, requires a system platform to have good login experience, and further requires a passenger mobile terminal to quickly and effectively plan the delivery route for selection. The interface design and the program development and writing are separated in the design process, so that the background core running program is not influenced when the interface is required to be upgraded in the later period, and a user is ensured to have good and smooth use experience in the running process. When the distribution process is interrupted due to disturbance of other factors in the distribution process, such as incoming calls or short messages, the system is designed to be in a seamless switching state with other application programs in advance, and a user can be notified by adopting appropriate system resources. The whole system platform requires that the related distribution route is clearly presented at the mobile terminal, and the intelligent terminal is configured to: the Eclipse platform acquires a Baidu map development kit and each function template to provide conditions for planning a distribution route on a map; constructing an express information storage database to store express information uploaded by an express enterprise; designing a user login page to enable a free express man to quickly acquire related delivery information after logging in; and performing related optimization on the optimal route of the multi-point express delivery by adopting an LTL theoretical method and the like.
The safety monitoring module monitors the position and safety of express packages through a GPS (global positioning system) and an RFID (radio frequency identification) technology, the intelligent express cabinet is configured to avoid damage or loss of goods in the access process, relevant access information such as access time, access people and access places is fed back to the intelligent terminal by the intelligent express cabinet in the access process, the transfer state of the goods is fed back in real time, and the transfer efficiency is improved.
The position planning module of the logistics site and the light rail site is also used for determining the positions of the logistics site and the light rail site and the point setting mode of the express delivery cabinet according to a clustering analysis method: the population density and the logistics transfer amount are used as main reference factors for determining the placement site and scale of the intelligent express cabinet, when population density is analyzed, mobile phone signaling data are mainly used for analyzing a user stop point, and due to the fact that the running speed and the stop site of rail transit are relatively fixed, the time window of the rail transit can be combinedAnd determining an alternative site according to the related logistics transportation volume data, analyzing by a user stop point, and determining a final site and a related scale. In the invention, for the long-distance transportation in the city by using the rail transit, because the length of the rail transit platform is not large and the waiting time is short, the one-way movement distance of a user does not exceed 500 meters, and the movement with the time not exceeding 10 minutes is regarded as a user staying area. Analyzing by combining with mobile phone signaling data of passengers in the process of taking rail transit, defining the area point set of the signaling data of the mobile phone of the passenger as a user staying area as T = { T = (the number of the mobile phone points is one) 1 ，T 2 ......T n And n represents the number of points in the area, and the geometric center in the staying area is taken as the central point T' of the staying area, namely the staying point. All the stop points on the rail transit operation line are obtained by a mobile phone signaling data analysis method, and then the core thought of a DBSCAN clustering algorithm is utilized: if the points with the number more than MinPts in the Eps field exist in the data source, a cluster is newly built by taking the points as a core object, and then all the points are iterated according to the density reachable principle until no point can be added into any cluster, and the process is terminated. And performing related iterative calculation through a cluster algorithm to obtain a stopping point meeting the requirements of related crowd density and a central point with higher logistics transfer density. Given a field radius Eps, a density threshold value minEps, a user staying center P and a logistics transfer density center point C, regarding any user staying area center point P epsilon P, taking P as the center and Eps as the radius, if the number of logistics transfer density center points is more than or equal to the density threshold value minEps, the point P is determined as a logistics station, and the specific flow is shown in figure 2.
The information processing module effectively acquires the geographic position of a passenger by adopting a GPS (global positioning system) position positioning technology, reasonably plans a transportation route aiming at the trip information of the passenger by the APP background terminal, pursues the transportation efficiency effectively improving the logistics transportation under the condition of fully meeting the trip demand of the passenger, is used for automatically planning an express delivery distribution route, and processes the positions of a logistics site and a light rail site and the feedback information of an express cabinet.
The intelligent terminal receives the information of the information processing module, is used for receiving orders on the internet of pedestrians and passengers, receiving express packages according to the planned route and delivering the express packages, requires the system platform to have good login experience, and needs the passenger mobile terminal to quickly and effectively plan the delivery route for selection. In the design process, interface design is separated from program development and programming, so that the background core running program is not influenced when the interface is required to be upgraded in the later period, and a user is ensured to have good and smooth use experience in the running process. Aiming at the condition that the delivery process is interrupted due to other factors in the delivery process, such as incoming calls or short messages, the system is designed to be in a seamless switching state with other application programs in advance, and proper system resources such as Notification programs can be adopted to inform a user. If the whole system platform requires that the relevant distribution route is clearly presented at the mobile terminal, the Eclipse platform can be configured to obtain a hundred-degree map development kit and various function templates, so as to provide conditions for planning the distribution route on the map; constructing an express information storage database to store express information uploaded by an express enterprise; designing a user login page to enable a free courier to quickly acquire related delivery information after logging in; an LTL theoretical method and the like are adopted to carry out relevant optimization on the optimal route of multi-point express delivery, and the specific flow is shown in figure 3.
Monitoring module carries out safely, through GPS, RFID technique, monitors express delivery parcel position and safety, effectively acquires relevant access information like access time, access people, access place etc. and feeds back to the terminal in real time through the control of intelligence express delivery cabinet and RFID technique, effectively improves transportation efficiency, guarantee parcel safety.
Based on the above system, the present invention will be further described with reference to the operation principle of fig. 2 and 3.
In the embodiment of the present invention, fig. 2 is a platform construction process and a related principle provided in the embodiment of the present invention, and in order to ensure normal operation of the transportation process, related modules (such as modules for position planning, communication, intelligent terminal, security monitoring, and the like) included in the APP platform and related principles thereof embody a circulation process of fund flow, information flow, and logistics among express enterprises, express cabinets, passengers, and third party platforms, and fully embody a platform construction process and requirements.
In the embodiment of the present invention, fig. 3 is a method for path planning provided in the embodiment of the present invention. When the platform is built and put into use, the express enterprises carry out cargo classification on express and then upload relevant information (such as transit time, transit places and the like) of the express to be transported to a database; the passenger logs in the client to fill out travel related information (such as travel time, destination, number of portable packages, weight of portable packages and the like); the platform matches the express related information with the passenger trip information, and recommends a related express order to the passenger, the passenger can freely select the order and can also receive platform delivery, and after the order is successfully received, the passenger and the express related information are uploaded to the rear end of the platform for backup; the platform acquires the current geographic position of a passenger according to a GPS, performs transfer route planning on a Baidu map by combining transfer information, displays a delivery address and an optimal path by a mobile phone, and can select voice broadcasting to remind the passenger of path information; if the passenger needs to delay or even cancel the transfer process in case of emergency in the transfer process, selecting the next destination of the passenger, and canceling the order after distributing the express to the nearby express cabinet; no emergency then carries out normal delivery, scans by the intelligent express delivery cabinet of destination and signs for the express delivery after with information feedback to intelligent terminal, and relevant party can transport the detail through the terminal inquiry express delivery, and the passenger accomplishes to transport and can carry out next transfer process after acquireing corresponding commission.
According to the route planning method, the express information and the trip information of the passengers are matched with each other, the scheme is carried for the intelligent customization of the passengers, more passengers can be attracted to participate in the transferring process, the passenger user loss is avoided through the flexible delivery system, the audience range is increased, the transferring amount is increased, the transferring efficiency is increased, and the passenger trip cost and the logistics cost are reduced. Meanwhile, a processing scheme during transportation which cannot be normally carried out under emergency conditions is considered, and the situations of part loss, part damage and the like in the transportation process can be effectively avoided through real-time positioning and path planning.
The present invention will be further described with reference to effects.
The invention mainly utilizes the idle transportation energy of urban rail transit to achieve the purpose of logistics distribution among great distances in the same city through the transfer of passengers between corresponding logistics stations and rail stations. The carrier can independently select to carry the starting point and the route, can also provide relevant trip information and carry the route by the relevant planning of PC end intelligence, can get the goods after intelligent identification and carry out relevant operation, and the delivery is whole to carry out real-time supervision through technologies such as GPS, RFID, relevant signal feedback of cell-phone to ensure the security of goods, can get corresponding commission after the delivery process is successful. Whole intelligent operation of whole mode need not artifical scanning discernment, and the great transport capacity of make full use of rail transit and higher speed of traveling effectively integrate masses' labour, alleviate road network pressure, effectively reduce the inside commodity circulation cost of transporting in city, carry out commission reward to the carrier simultaneously, reduce the cost of going on a journey, improve user satisfaction, realize resource maximize utilization.
The above description is intended to be illustrative of the preferred embodiment of the present invention and should not be taken as limiting the invention, but rather, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (9)
1. A rail vehicle-based crowdsourcing express delivery method is characterized by comprising the following steps:
determining the positions of the logistics stations and the light rail stations and the point setting mode of the intelligent express cabinet according to a clustering analysis method;
the geographic position of a passenger is obtained by adopting a GPS position positioning technology, the travel information and the transfer route of the passenger are automatically planned by the APP background terminal, and the positions of the logistics site and the light rail site and the feedback information of the intelligent express cabinet are processed;
after receiving the positions of the logistics stations and the light rail stations and the information processed by the intelligent express cabinet, delivering express packages according to a planned route;
meanwhile, the position and safety of the express package are monitored through GPS and RFID technologies, and the monitored information is fed back to the terminal in real time;
confirm the position of commodity circulation website and light rail website and the set point mode of intelligence express delivery cabinet and include:
determining positions of a logistics site and a light rail site and a point setting mode of an intelligent express cabinet according to a cluster analysis method;
taking population density and logistics transfer capacity as reference factors of intelligent express cabinet placing sites and scales; determining a user residence area with high population density by utilizing a passenger mobile phone signaling data centralized area; carrying out cluster analysis on the transport capacity of known logistics sites in the city to obtain a plurality of logistics density centers; iterating the central point of the passenger staying area in the neighborhood range of the logistics density center through a cluster algorithm to obtain an alternative station set; determining the scale of the intelligent express delivery cabinet at the alternative station by an analytic hierarchy process;
defining the regional point set of passenger mobile phone signaling data centralized stay as a user stay region, and defining the regional point set as T = { T = } 1 ，T 2 ......T n N represents the number of points in the area, and the geometric center in the staying area is taken as a central point T' of the staying area, namely the staying point;
all the stopping points on the rail transit running line are obtained through a mobile phone signaling data analysis method;
and determining the final site by using a DBSCAN clustering algorithm.
2. The rail vehicle-based crowd-sourced express delivery method of claim 1, wherein the DBSCAN clustering algorithm comprises: points with the number of points contained in the Eps field being more than MinPts exist in the data source, a cluster is newly built by taking the points contained in the Eps field existing in the data source as a core object, and all the points are iterated according to the density reachable principle until no point is added into any cluster;
performing related iterative calculation through a cluster algorithm to obtain a dwell point required by the density of related crowds and a central point with higher logistics transfer density;
given a neighborhood radius Eps, a density threshold value minEps, a user staying center P and a logistics transfer density center point C, regarding a center point P of any user staying area as P, taking P as the center and Eps as the radius, determining that the number of logistics transfer density center points is more than or equal to the density threshold value minEps, and determining the point P as a logistics station.
3. The rail vehicle-based crowd-sourced courier method of claim 1,
optimizing an optimal multi-point express delivery route by adopting an LTL (low temperature Linear) theoretical method, modeling the position of an intelligent express cabinet to form a switched system network, converting task requirements into a linear time sequence logic relationship for description, combining the linear time sequence logic relationship with the position of the intelligent express cabinet to obtain a new set, and collecting to form a new system network; and searching an optimal path in the system network by adopting a Dijkstra algorithm, and automatically returning to the initial system after the optimal path is found to obtain the optimal path in the actual distribution environment.
4. A rail vehicle-based crowdsourcing express system implementing the rail vehicle-based crowdsourcing express method of claim 1, wherein the rail vehicle-based crowdsourcing express system comprises:
the position planning module of the logistics station and the light rail station is used for determining the positions of the logistics station and the light rail station and the point setting mode of the express delivery cabinet according to a clustering analysis method;
the information processing module is used for automatically planning an express delivery distribution route and processing the positions of the logistics sites and the light rail sites and the feedback information of the express cabinet;
the communication module is used for sending the information processed by the information processing module to the intelligent terminal;
the intelligent terminal receives the information of the information processing module and is used for receiving orders on the pedestrian and passenger network, picking up express packages according to a planned route and distributing the express packages;
and the safety monitoring module monitors the position and safety of the express package through GPS and RFID technologies.
5. The rail vehicle-based crowdsourcing express system of claim 4, wherein the rail vehicle-based crowdsourcing express system further comprises: a track for transporting the package;
a base station for shelving the package.
6. The crowd-sourced express delivery system based on rail vehicles as claimed in claim 4, wherein the position planning modules of the logistics sites and the light rail sites are further used for taking population density and logistics transportation amount as reference factors for determining the placement sites and scales of the intelligent express delivery cabinets, analyzing user staying points by using mobile phone signaling data during population density analysis, determining alternative sites by combining time windows of rail traffic and related logistics transportation amount data, and analyzing the user staying points to determine final sites and related scales; performing related iterative calculation by using a DBSCAN clustering algorithm and a cluster algorithm to obtain a stopping point and a central point with high logistics transfer density, and determining a position plan;
the information processing module also adopts a GPS position positioning technology to effectively acquire the geographic position of the passenger, the APP background terminal reasonably plans the travel information of the passenger on the transportation route, and processes the positions of the logistics station and the light rail station and the feedback information of the express delivery cabinet.
7. The rail vehicle-based crowdsourcing express system of claim 4,
when the distribution process is interrupted, the intelligent terminal carries out seamless switching on the system in advance and notifies a user;
the intelligent terminal also obtains a Baidu map development kit through an Eclipse platform and plans a distribution route on the map; optimizing the optimal route of multi-point express delivery by adopting an LTL theoretical method;
carry out monitoring module configuration intelligence express delivery cabinet safely and access the goods, will be correlated with by intelligence express delivery cabinet and access information feedback to intelligent terminal, carry out real-time feedback to the transition state of goods.
8. A terminal, characterized in that the terminal is equipped with at least a processor for implementing the rail vehicle-based crowd-sourced express delivery method of claim 1.
9. A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the rail vehicle-based crowd-sourced courier method of claim 1.
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