43 results about "Urban logistics" patented technology

The present invention discloses a method and a system for dynamically planning logistics delivery routes based on big data analysis technology. The method includes: using big data to analyze environmental factors and traffic accident factors to establish reduction coefficient functions between various factors and the vehicle speed or delay time functions between various factors and the vehicle speed, using graph and network theories to establish a city delivery road net model and finally using an A * search algorithm to dynamically plan the optimal delivery route. The invention fully considers the influence of environmental factors and traffic accident factors on the delivery route so as to solve the problem of urban logistics delivery route planning, and can effectively deal with the influence of environmental factors and traffic accidents on the delivery vehicles and improve the delivery efficiency and the delivery service level, reducing distribution cost.

The invention provides a logistics demand prediction method and system for urban air traffic, and belongs to the technical field of urban logistics traffic. The method comprises the steps: a traffic generation stage: carrying out prediction to obtain the logistics attraction amount and production amount of each traffic zone; a traffic distribution stage: according to the predicted logistics attraction amount and output amount of each traffic zone, analyzing to obtain the travel exchange amount between the traffic zones; a mode division stage: analyzing the sharing rate of the light and small UAVs in urban logistics according to the travel exchange amount among the traffic zones in combination with safety, time and cost, and predicting to obtain an OD distribution matrix of the mode; and a traffic distribution stage: designing an unmanned aerial vehicle logistics route network, and distributing the predicted flow of the ground and air traffic modes to the corresponding route network to complete demand prediction of urban air traffic logistics. The problem of flow prediction of urban unmanned aerial vehicle logistics is solved.

The invention discloses a logistics distribution area division method considering a complex road network, and belongs to the technical field of traffic transportation. According to the method, a reverse k-growth multi-scale network model is built on an urban complex road network, the problem of low distribution efficiency in the urban logistics distribution process is solved by adopting a hybrid genetic-cluster search algorithm, and urban logistics distribution region division is realized. The implementation process is as follows: gridding an urban logistics distribution area, combining a road network structure of a real city with a logistics distribution network to form a logistics distribution area network with a complex road network, then establishing a reverse k-growth multi-scale network model to perform initial grid division and expansion division on the logistics distribution network, and finally, optimizing and dividing the logistics distribution area by using a hybrid genetic-cluster search algorithm. According to the method, the urban logistics distribution area can be effectively divided, the operation cost of a logistics operator can be reduced, and the customer service can be improved.

The invention provides a three-dimensional urban logistics transport device based on an electromagnetic principle. The three-dimensional urban logistics transport device based on the electromagnetic principle comprises an elevated hanging beam, a pipeline bracket, a concrete pipeline, a copper coil, an electric brush, a rail and a transporting unit. The transporting unit comprises a vehicle head, a power carriage, a freight carriage and a charging energy storing module. The power carriage comprises a vehicle body and vehicle wheels. The charging energy storing module makes contact with the copper coil through the electric brush to form a closed loop circuit, so that a local electromagnetic field is formed in the copper coil. Permanent magnets are correspondingly arranged at the front end and the back end of the power carriage. Magnetism of the surfaces, close to the power carriage, of the permanent magnets is the same. Permanent magnets are correspondingly installed at the front end and the back end of the vehicle head. Magnetism of the surfaces, close to the vehicle head, of the permanent magnets is the same. According to the three-dimensional urban logistics transport device based on the electromagnetic principle, an urban overpass which is an already-existed facility is used, urban three-dimensional spatial resources are fully used, the three-dimensional urban logistics transport device is an effective carrier of same city emergency small parcel transporting, and urban modernization construction and sustainable development are promoted; and by using an electromagnetic permanent magnetic system, the permanent magnets provides part magnetic force, electromagnetic energy consumption is reduced, energy conservation and environment protection are achieved, the operation is stable, and no waste discharging is achieved.

The invention discloses an urban logistics distribution range collaborative optimization method, which comprises the steps of 1) obtaining urban road network structure information, urban road networkreal-time traffic flow data, distribution center position and corresponding capacity information, distribution station position and corresponding demand information, and setting the minimum total distribution cost as an optimization principle; 2) calculating the cost C from each center to each station according to the obtained urban road information such as the real-time traffic flow data, and carrying out matching according to the principle that the total cost in the step 1) is minimum; (3) after the step (2) is finished, the remaining stations which are not matched still entering a second matching process, in the process, the remaining stations serving as objects, searching for a distribution center with the minimum distribution cost for matching, and after all the stations are matched,completing the matching process; and 4) outputting a distribution range division optimization result, wherein the distribution range division optimization result comprises distribution cost and a distribution range division scheme. According to the invention, the logistics distribution efficiency can be improved, and the distribution cost can be reduced.

The invention discloses an optimization method for a two-stage site selection-route problem in urban logistics, and the method comprises the steps: splitting the two-stage site selection-route probleminto two relatively independent layers and four sub-problems which are connected with each other and are easy to solve according to the structural features of the two-stage site selection-route problem; for a small-scale problem, two sub-problems of transfer center site selection and customer allocation are independently considered and respectively processed, and a multi-ant colony algorithm is provided to improve the solving quality of the problem; transfer center site selection and customer allocation are considered together for a large-scale problem, overall optimization is performed, anda hybrid algorithm is provided to improve the solving efficiency of the problem.

The invention discloses a simulation implementation method and system for an urban logistics operation environment. The method comprises three steps of basic information acquisition, data processing and operation environment simulation. Simulation of three different urban logistics operation environments including a certain type, a customer demand uncertain type and a vehicle passing time uncertain type is realized through collection of geographical related information, customer demand related information, vehicle related information and freight traffic management policy related information and processing of urban road network information, customer demand information and vehicle information. According to the method, the urban logistics operation environment is comprehensively and truly simulated, a plurality of examples considering different urban logistics operation environments are generated, and rich and reliable research data can be provided for optimizing urban logistics operation and scientifically formulating freight traffic management policies.

The invention discloses an urban logistics system based on a pipe network. The system comprises a monitoring and dispatching center, tracks, transfer stations, logistics vehicles and multiple branch switching mechanisms. The monitoring and dispatching center is used for (1) monitoring states, positions and motions of the logistics vehicles, (2) monitoring states and motions of the branch switching mechanisms and (3) monitoring transportation states of goods. The tracks are pipe-type tracks and proceeding tracks of the logistics vehicles. The transfer stations are arranged on the tracks and used for loading and unloading of the logistics vehicles. The branch switching mechanisms are arranged at intersections or branches of the tracks. The goods have tags. The monitoring and dispatching center is used for planning transmission paths and controlling operation of the logistics on the tracks based on the planed transmission paths through the branch switching mechanisms, and then sending the sorted goods to a destination transfer station from a departure place transfer station. According to the invention, the system is high in transmission efficiency, easy to implement and high in automation degree.

The invention discloses a method for finding the shortest path of urban logistics distribution based on time reliability, which includes: obtaining historical path time data in a designated distribution road network within a certain time range; obtaining the customer's desire for distribution services; obtaining the distribution route Network data, set up the objective function model with estimated travel time as the reliability measure index and set up the following formula to establish constraint conditions according to the objective function model; Utilize genetic algorithm to solve described objective function model and constraint conditions. The present invention first considers the volatility of the traffic road network, and solves the logistics distribution problem with the idea of ​​solving the traffic network problem; then, on the existing vehicle route problem with time window, another new time window is proposed. The concept is to build a route optimization model based on the customer's desire for service and use the travel time and service time as the objective function to build a route optimization model, which is more in line with actual needs and road network conditions.

The invention discloses a method and system for dynamic planning of logistics distribution routes based on big data analysis technology. The method includes: using big data to analyze environmental factors and traffic event factors, and establishing the relationship between various factors and vehicle driving speed. The function of the reduction coefficient or the function of various factors and vehicle travel delay time, using the theory of graph and network to establish the urban distribution road network model, and finally using the A* search algorithm to dynamically plan the optimal distribution route. The present invention fully considers the impact of environmental factors and traffic event factors on distribution routes, thereby solving the problem of urban logistics distribution route planning, can effectively deal with the impact of environmental factors and traffic events on distribution vehicles, and improves distribution efficiency and distribution services level, reducing delivery costs.