The present disclosure provides an intelligent transportation road network acquisition method and apparatus, an electronic device and a storage medium, and relates to the field of artificial intelligence such as intelligent transportation. The method includes: acquiring a target demand set; acquiring annotation information, the annotation information being microscopic road network attribute information manually annotated on a displayed map road network for intersections in the target demand set; acquiring macroscopic road network information corresponding to the target demand set from road network data corresponding to the map road network;

and generating an intelligent transportation road network corresponding to the target demand set according to the annotation information and the macroscopic road network information. The intelligent transportation road network meeting requirements of intelligent transportation service scenarios can be obtained accurately and efficiently by using the solutions according to the present disclosure.

At least one computer-readable medium on which are stored instructions that, when executed by one or more processing devices, enable the one or more processing devices to perform a method. The method includes the steps of receiving over a network a data set corresponding to a passenger seeking transportation to a destination, the data set including an address of origin of the passenger, accessing a first database that includes a first set of geocodes that correspond to addresses within a particular geographic region of interest, the region of interest including the passenger address of origin, determining if there is a geocode in the first database that corresponds to the passenger address of origin, if there is not a geocode in the database that corresponds to the passenger address of origin, automatically creating a geocode that corresponds to the passenger address of origin, and providing the created geocode to a route management system.

The present disclosure includes receiving, by a server (1), experience information via a telecommunications network (3) from each of terminals (3) carried by respective users (A to E), the experience information being information regarding an experience desired by each of the users; extracting, in the server, two or more users to generate a single community for the experience information of the two or more users, the two or more users transmitting the experience information having a similarity level not less than a predetermined threshold; extracting, in the server, a destination (5) associated with the experience information having the similarity level not lower than the predetermined threshold using a database (17) configured to preliminarily store the experience information and the destination in association with each other; and transmitting the destination from the server via the telecommunications network to the terminals carried by the two or more users who constitute the single community.

Automatic system management is provided by controlling/managing part or all of the system operation through the predefined properties embedded in the components of the management system itself. The creation of Quanta with properties allow the programming of the rules for the system management in a way that any user, client, provider or any other type of participant can interact with the system without the need of an intermediary or approver.

In a predictive path planning functionality for a transportation vehicle data describing a roadway are acquired by one or more sensors disposed on the transportation vehicle and analyzed. One or more predicted paths are predicted with at least one neural network. Data describing a reference path taken by the transportation vehicle are acquired. The one or more predicted paths are evaluated to detect one or more errors in the predicting operation wherein the one or more errors include an indication that the one or more predicted paths of the path planning system deviate from the reference path.

An apparatus and method for configuring a customized tour includes providing a list of tour subject indicators with a relevance value for locations to be toured, receiving user selection data regarding the subject indicators, and configuring a tour route based on an aggregate relevance score calculated for the tour subject indicators and locations indicated by one or more users. The method and apparatus may further include defining at least one tour route record comprising an ordered list of locations that satisfies at least a minimum aggregate relevance score constraint and a maximum tour duration constraint and saving information defining the at least one tour route record in a computer memory for use in delivering a corresponding tour.

An example apparatus includes at least one processor and at least one memory coupled to the at least one processor and storing programming instructions for execution by the at least one processor to: obtain map data at a current moment, where the map data includes a first road area at the current moment, the special road condition is located in the first road area, the first road area is obtained based on a road condition model and a vehicle parameter within a preset time period before the current moment, and the road condition model represents a correspondence between a feature of the vehicle parameter and the special road condition; and determine, based on a planned route of a vehicle, that a second road area exists in the planned route of the vehicle, where the second road area is in the first road area.

Information regarding flight schedules, available aircraft, and maintenance information is received from one or more systems. A graph database is generated based on the received information. A graph traversal algorithm is applied to the graph database to determine an assignment of the available aircraft to the flight schedules based on reducing a risk of aircraft-on-ground at a remote location, reducing actual costs, or reducing a time cost.

An order processing system includes a plurality of robotic devices, a set of storage systems, an order consolidation system, and a control server. The control server receives a set of orders for an item, determines a cumulative order quantity of the item, and selects a subset of the set of orders to be opened up for consolidation at the order consolidation system. The control server identifies one the storage systems that stores the item as per the cumulative order quantity and assigns the storage system to an operator station for batch picking of the cumulative order quantity. The control server controls a first robotic device to transport the storage system to the operator station, and a second robotic device to collect from the operator station a first portion of the cumulative order quantity and transfer the first portion to a set of order bins associated with the subset of orders.

A system having a guidance module to obtain a travel path from an agricultural machine to a target. The guidance module including a perception module to determine target line that extends from the machine to the target, and obstacle detection module to detect an obstacle in the first target line, the obstacle having an obstacle boundary that intersects the target line. The guidance module including a mitigation module to obtain a mitigation path around the obstacle based on the target line and the obstacle boundary, the mitigation path including a mitigation segment. The mitigation module including an entrance module configured to determine a starting position of the mitigation path based on a second target line and an exit module configured to determine the ending position of the mitigation path based on a third target line. The guidance module including convergence module to combine the mitigation path with the travel path.