197results about How to "Meet travel needs" patented technology

The invention discloses an intelligent coordination control method of a dynamic bi-directional green wave band for an urban traffic trunk road. The method comprises the steps of starting, processing coordination parameters, processing intersection parameters, processing time and processing cycle, etc. The method adopts a double-stage control structure, namely, a control layer of a traffic control center server and a control layer of an intersection intelligent signal controlling machine, through the information interaction and the coordination of the traffic control center server and the intersection intelligent signal controlling machine, phase sequence is optimized in an on-line manner; and common period, highway section upper phase difference, highway section down phase difference, the starting time of an upper coordination phase, the starting time of a down coordination phase, green ratio at each intersection and other key control parameters are optimized and calculated on a real-time basis. The intelligent coordination control method gets rid of the limit of equal intersection intervals required for the coordination control of the green wave band for the urban traffic trunk road, and realizes the unceasing travel of bi-directional traffic flows on the main road by applying the traffic engineering technique, the artificial intelligence technique and the automatic control technique, thereby reducing the parking rate while the traffic capacity of the trunk road is improved, and obviously reducing the traveling time.

The invention relates to a customized bus line opening optimization method based on real-time requirements, which comprises the following steps of: establishing a customized bus network system, comprising the selection of a network node, the determination of a network path and the selection of a parking node; customizing the bus line opening conditions, including: real-time demand user informationacquisition and demand response time determination; a method for customize a bus network model and passenger classification comprise that steps of: establishing a spatio-temporal road network, determining a spatio-temporal window of passengers and classify passengers; Initial customization of bus route generation model, including establishing a Route Optimization Model with Minimum Total passenger-Operator Cost; Initial customized bus route generation algorithm is to use column generation algorithm to determine the initial customized bus route; Optimize customized bus routes that have been opened. The invention can greatly improve the flexibility of the customized bus, so that the customized bus has more advantages in the travel mode selection, thereby improving the present situation of low seating rate of the customized bus, and finally improving the share rate of the customized bus travel mode.

The invention discloses a smart unmanned passenger vehicle. An automatic driving system used for unmanned driving is arranged on a vehicle chassis; a plurality of human body seats are arranged on a vehicle body; the unmanned automatic driving system comprises a driving module, a path navigation module, an obstacle avoidance module, a communication module and a data processing module, and further comprises a sensor module, a smart identification system, a monitoring and detecting system, a supervisory control system, an air conditioning system and a main control processor; the sensor module isused for collecting and detecting temperature and humidity information, passenger information, fuel quantity information, electric quantity information, vehicle tire pressure information, engine temperature and pipeline patency information, fire hazard information, smell information and composition information of dangerous goods in a carriage of the unmanned passenger vehicle, and uploading the information to the main control processor and a cloud computing system; and the unmanned automatic driving system further comprises a battery power management module. According to the invention, the unmanned driving of passenger cars is realized through an unmanned driving technology, the real unmanned transportation is realized, and an overall business operation model is constructed on the basis ofthe unmanned passenger vehicle.

The invention discloses a cluster electric vehicle charging behavior optimization method based on deep reinforcement learning, and belongs to the technical field of new energy vehicle optimization management. The invention relates to a deterministic strategy gradient algorithm based on double delay depths. Modeling is carried out on the power continuous adjustable charging process of the electricvehicle, an intelligent agent is trained to control the charging power, the charging behavior of the electric vehicle is optimized, the load when the time-of-use electricity price is high is transferred to the load when the electricity price is low, and the purposes of reducing the user charging expenditure and stabilizing the peak-time load of a power grid are achieved. Compared with a traditional optimization control method, the TD3 has obvious advantages in speed and flexibility, and the problems that an existing reinforcement learning method is discrete in action space, difficult in training convergence and poor in stability can be effectively solved. In order to enhance the generalization ability of the intelligent agent, noise is added on the basis of original state observation, a group of electric vehicles with different initial SOCs and different arrival and departure time are simulated, and the method is expanded to cluster electric vehicle charging behavior control.

The embodiment of the invention discloses a method and device for pushing voice information. The method comprises steps of: switching to a customized information push mode according to the taxi-taking state of a user; determining recommendation information according to the advancing route of a taxi and/or the attribute information of the user; and pushing the recommendation information to the user. The method provided in the embodiment of the invention may determine the recommendation information according to a user requirement and push the recommendation information to the user, provide useful information for the user when the user takes the taxi, and improves user taxi-taking experience.

The invention discloses a method and a system for intelligently scheduling vehicles. The method comprises the following steps of: S1, acquiring real-time data information transmitted by intelligent terminals of vehicles by a web server; S2, receiving order information of passengers by a calling center server; S3, matching the order information of the passengers with the real-time data information of the vehicles by the web server; and S4, selecting the vehicles and informing drivers of the selected vehicle from the matching result information. According to the invention, by grasping the real-time data information of the vehicles, matching the orders of the passengers with the real-time data information of the vehicles and selecting and dispatching corresponding vehicles, the empty-loaded rate of vehicles can be reduced, the resource waste can be reduced, the transportation cost can be reduced and the demand for the outgoing of people can be met to a greater degree. Shown by a large amount of data statistics, the transportation cost of the vehicle is reduced by 60 percent by adopting the invention.

The invention provides a route planning method and device based on a public traffic system, and belongs to the navigation field. The route planning method based on the public traffic system comprises the steps as follows: a user trip purpose containing a user trip purpose and a user trip condition is acquired; a departure bus stop and a target bus stop for the user are determined according to the user trip purpose; and a bus route from the departure bus stop to the target bus stop is fed back to the user. According to the technical scheme of the route planning method and device, a bus route which can reach a target position satisfying multiple users and/or meeting multiple requirements simultaneously can be provided.

The invention discloses an electric vehicle economic dispatching method based on demand response. The electric vehicle economic dispatching method comprises the steps of firstly, outlining an economic dispatching model; secondly, proposing an electric vehicle charging strategy based on the demand response, optimizing a charging electricity price trigger value of electric vehicle users based on network real-time electricity price information, reducing charging cost for the users; meanwhile, studying an electric power system unit commitment containing large-scale electric vehicles; and on that basis, establishing an electric vehicle economic dispatching model based on the demand response through the prediction of behavioral features of the electric vehicle users. The invention is aimed at maximizing profits of grid companies, the charging electricity price of an electric vehicle is optimized, and the charging load of the electric vehicle can be shifted.

The invention discloses a bus operation method and a bus operation system supporting line section dynamic regulation. The bus operation method comprises the steps of obtaining GPS (Global Positioning System) positioning data of a bus by a vehicle-mounted terminal at regular times during a section operation process of the bus, and comparing the GPS positioning data with a pre-stored longitude and latitude range of each station; carrying out station broadcasting on a station by the vehicle-mounted terminal after the vehicle-mounted terminal judges that the bus drives into the longitude and latitude range of one station according to a comparing result; determining an imminent station after the station according to sequence information, which is previously sent by a scheduling terminal and is recorded in a section operation station sequence list, of each sequentially-passed station during one roundtrip driving process of the bus in a section, and carrying out pre-arrival station broadcasting of the imminent station. According to the bus operation method disclosed by the invention, the line section dynamic regulation can be supported, and the travel demands of passengers can be better met when the bus is in section operation.

The invention belongs to the technical field of intelligent public transport and specially relates to a line load factor real-time calculating method based on a bus mobile WIFI hotspot. The method comprises the following steps: 1) obtaining basic data of each bus in the current bus line; 2) extracting plate number ID data of each bus, and at least extracting real-time number N' of mobile phone users connected to the WIFI and corresponding to the plate number ID of each bus; 3) calculating actual total number of passengers on the single bus; 4) calculating quota carrying number of people on the single bus; 5) calculating load factor of the single bus; and 6) obtaining bus line load factor. The bus mobile WIFI hotspot is utilized as a basic technology supporting point to obtain the load factor of the current bus line so as to judge the design reasonability of the bus line and whether the bus line needs to be adjusted accordingly, and finally, the purposes of realizing bus-taking demand of each line and optimum balance of distribution and scheduling of the buses in the line are achieved.

The invention discloses a ride-hailing service request handling method, device and server. The method includes receiving a ride-hailing service request at least including a departure point and a destination point from a user terminal and generating an order including an estimated price calculated based on the departure point and the destination point and sending the order to the user terminal; after receiving an order confirmation command from the user terminal, adding the order into a first waiting queue for service vehicle allocation; if a preset condition is met, asking the user terminal toconfirm whether to execute the order at a second estimated price which is higher than the first estimated price; if the user terminal confirms to execute the order according to the second estimated price, adding the order into a second waiting queue for service vehicle allocation and if not, remaining the order in the first waiting queue for service vehicle allocation. By adopting the technical scheme provided by the invention, travelling demand of a user can be met in the maximal level.

The invention discloses a customized bus stop site selection method based on online booking data, which comprises the following steps: extracting a large amount of travel information according to theonline booking data, and supplementing a passenger travel demand collection mode of a customized bus company; The method has the advantages that the concept of the customized bus stop is innovativelyprovided, the traffic travel cell is used as a bridge for linking the customized bus stop and the online car-hailing data, and the online car-hailing data with large volume is simplified into the concept of inter-region flow and intra-region flow, so that the site selection precision of the customized bus stop is greatly improved.

The invention provides a train scheduling method and system. The train scheduling method includes the steps of receiving preset information submitted by a user, wherein the preset information includesuser identification, a departure point, departure time and a destination point; when determining that it is required to schedule a train, according to the departure point, the departure time and thedestination point, determining a train scheduling plan; sending the train scheduling plan to a line signal system of the train to make the line signal system schedule the train according to the trainscheduling plan. According to the train scheduling method and system, passengers' travel demands can be met furthest, the operation efficiency of the train is guaranteed, and the utilization of rail traffic resources is maximized.

The invention provides a trip order processing method and apparatus, and a user terminal. The method includes steps: obtaining a trip order in first user payment software; extracting trip information in the trip order, wherein the trip information comprises consumption time and order destination; sending the trip information to a cloud server so that the cloud server calculates the predicted arrival time at intervals of a preset time period when determining that a first user terminal is turned on and the current time and the consumption time are the same day; receiving the predicted arrival time sent by the cloud server, and pushing a navigation request to a first user through a display screen according to the consumption time and the predicted arrival time, wherein the navigation request carries navigation destination; and receiving a navigation response sent by the first user through the display screen, generating a navigation path according to the current position and the navigation destination, and performing navigation according to the navigation path, wherein the navigation response carries the navigation destination. According to the method and apparatus, and the user terminal, the user demand can be met through intelligent processing of the trip orders.

The invention relates to a bus travel response system based on CV (connected vehicle) technologies. The bus travel response system is characterized in that a vehicle-road collaborative environment subsystem of the system comprises a vehicle-mounted unit and roadside equipment, thereby providing a necessary software and hardware environment for system implementation; a passenger travel response subsystem comprises a station terminal and a vehicle-mounted terminal, and is used for providing travel requirements by a passenger; and a driver auxiliary subsystem is composed of a control module and driving decision making assistant information publishing equipment, and is used for assisting a driver to make decisions and providing a basis for formulating a vehicle driving route. The bus travel response system has a function that a service area is expanded according to requirements, can enable a vehicle to drive on an auxiliary road according to requirements of passengers, changes a public transport service mode into variable routes from fixed routes, and meets travel requirements of irregular travelling passengers in some regions, thereby expanding the service range of bus route services, reducing fixed bus routes of an area, saving social resources, and being capable of bringing significant energy conservation and emission reduction effects.

The invention discloses an information sharing system and an information sharing method based on geographical position. The information sharing system comprises the steps of a, selecting a target geographical position in a geographical information module; b, searching the target geographical position or a service end object which is provided with an information sharing sensing module in a self-defined area at the periphery of the target geographical position; c, connecting a client with a server end; and d, transmitting information which is acquired by a service end sensing module to the client through network. According to the information sharing system and the information sharing method, through combining network with an electronic map, a sensor and virtual reality technology, a user can appear at any place in reality in a body replication manner or a body possessing manner, thereby satisfying outgoing requirement of a person to a large extent, preventing travel fatigue of the person and realizing an effect which is similar with real outgoing of the person.

The invention belongs to the technical field of port area traffic management, and relates to a method for assigning traffic in a port area in a reservation congregation mode. The method is used for realizing port area traffic assignment with two target destinations through the steps of: establishment and initialization of a knowledge base; evaluation of a guidance strategy; stage judgment; guidance learning; and generation of the guidance strategy corresponding to a road network state. By the method of the invention, a port area traffic management department sets guidance signs at each key crossing, so that congregation traffic flows are balanced, and traffic facilities, in particular port area traffic capacity, are fully utilized. Therefore, the advantage of guiding the group is achieved.

The invention provides a navigation method and a navigation device. The navigation method comprises the following steps: detecting whether to acquire a touch instruction of requesting to create a navigation route; determining a geographic position of a starting location and geographic positions of a plurality of target locations when the touch instruction is detected to be acquired; creating at least one reference route according to the geographic position of the starting location and the geographic positions of the plurality of target locations, wherein total target locations are connected in series in each reference route; and determining one reference route in the at least one reference route as a navigation route, and prompting the one reference route to a user. According to the technical scheme of the invention, selection of the navigation routes is further planned, travel demands of different users are met, and the travel experience of the users is improved.

The invention discloses a method and a system for dynamically guiding the travel speed of a network-connected vehicle during the green-light phase of multi-signal intersections, wherein a vehicle is guided to pass through two continuous intersections with the minimum consumed fuel oil as the target, and the speed optimization track of the vehicle is supplied to a driver in real time in a visual manner. As a result, the idle running time of the vehicle at intersections and the unnecessary operations of the vehicle, such as sudden acceleration and unnecessary sudden deceleration, can be avoided.Therefore, the extra fuel consumption and the extra tail gas emission of the vehicle are avoided. Meanwhile, the road traffic capacity is improved, and the travel requirements of people are met. Thetravel efficiency of people is improved.

The invention provides a vehicle scheduling method and device, equipment and a computer storage medium. The vehicle scheduling method comprises the following steps: for a server end, receiving a uservehicle-taking request sent by a client end; according to the user vehicle-taking request, judging whether the user vehicle-taking request can trigger an unmanned vehicle hailing function; if the uservehicle-taking request can trigger the unmanned vehicle hailing function, carrying out path planning according to the user vehicle-taking request and generating a manned vehicle order and an unmannedvehicle order; and matching a user portrait with the generated unmanned vehicle order, and if the unmanned vehicle order is matched, sending the matched unmanned vehicle order and the manned vehicleorder to the client end, or otherwise, sending the manned vehicle order to the client end. By judging whether the user vehicle-taking request can trigger the unmanned vehicle hailing function and carrying out user portrait and unmanned vehicle order matching, the method can dispatch vehicles in the manned vehicle and unmanned vehicle coexistence stage, thereby giving full play to the advantages ofmanned and unmanned vehicles, and accurately and efficiently meeting user vehicle-taking demand.