83 results about "Car pooling" patented technology

A commuter groups service (CGS) allows commuters to join commuter groups so that they are able to socialize while commuting. Through the commuter groups, the users may share commuting routes, traffic updates, road conditions, and other information. Group members may arrange car pools, short term riding arrangements, and may anonymously or directly contact each other. The CGS may collect group member position information, e.g. GPS information, to enable the CGS to calculate traffic conditions and to select location specific information for group members. The system may include an on-line service accessible through a computer or wireless networking device. The user may log into the CGS, create or modify a user profile, and join groups of their choosing. Groups may be associated with specific events or with getting to/from work. Commuter groups may be formed for commuters that use private vehicles and/or public transportation.

The invention discloses a method for pooling a taxi, sharing a private car and hitchhiking. The method comprises the steps of entering demand information, conducting matching according to the demand information to obtain car pooling information, enabling a client terminal to display the car pooling information in an imaging mode, obtaining information of the taxi and taking the taxi according to the car pooling information or taking the private car according to the car pooling information after a user validates that the taxi or the private car sets out on time, and automatically generating a cost list detail and a historical note finally. Due to the fact that appointment can be carried out on taxi pooling, private car sharing and hitchhiking, the user can conveniently plan for traveling in advance. Meanwhile, limiting conditions are arranged in the demand information, car pooling among acquaintances can be achieved, therefore, car pooling is relatively safe and reliable, the car pooling information is displayed in the imaging mode and is vivid and visual, and many-to-many selection matching among users can be conveniently carried out. Finally, generation of both the cost list detail and the historical note is automatically executed, user operation is simplified, and user experience is good. The invention also discloses a system for pooling the taxi, sharing the private car and hitchhiking at the same time.

The invention provides a method and system for providing car-pooling assistance using a wireless communication system. The method includes steps for receiving a user carpool enrollment request, obtaining the positional information of the user's moving vehicle, storing the positional information as a route in a call center database and sending at least one available match based on the carpool enrollment request to the user.

The invention discloses an intelligent optimized scheduling system for logistics. The system is composed of a basic data module, an intelligent scheduling module and a board management module. The basic data module consists of a line management unit, a vehicle type management unit, an address management unit, a car pooling rule unit, a scheme design unit, a transport capacity management unit, a data dictionary unit, and an area management unit. The intelligent scheduling module is used for realizing the complete intelligent scheduling function and is mainly responsible for order extraction and scheduling calculation, carrying out examination on a calculation result, carrying out proper arrangement after successful examination, and writing back to a TMS. The board management module mainly includes an arrangement checking unit and a TMS uploading instruction checking unit; the arrangement checking unit is used for realizing a function of real-time arrangement situation checking of a warehouse in the system; and the TMS uploading instruction checking unit is used for realizing a function of uploading instruction checking. According to the system, the inventory, manpower and transport costs can be lowered; the punctual delivery ratio can be improved; the profitable operation can be realized; and the competitive advantage can be obtained.

The invention discloses a smart traveling application platform comprising a mobile terminal, an application system layer and a cloud platform system. The application system layer comprises a basic facility service layer, a data resource service layer, an application support service layer, a business application service layer, an operation implementation service layer and an information service layer. The cloud platform system comprises a scenic area module, a scenic spot introduction module, a map module, a positioning module, a path planning module, a voice explanation module, a scenic spot evaluation module, a tourist sharing module, a traveling friend making module, an administrator management module and a meteorological monitoring module. The core functions and data of the system are stored in the cloud platform system, and users access to the application system layer and the cloud platform system through the mobile terminal and perform interaction. Various demands of the scenic areas for management, marketing and services can be met so that rapid application deployment can be realized; and the traveling social platform of looking for companions, car pooling, house sharing and making friends is provided for the tourists.

A method and an apparatus for confirming that two or more individuals' participation in a carpool where acceleration datum is collected from the individuals' associated devices. The acceleration datum of the devices is compared to determine that a first individual that is associated with the first device and at least a second individual that is associated with a second device traveled together in one single vehicle for a period of time to satisfy a carpool requirement. At least one of the individuals receives a benefit or incentive of the carpool.

A navigation apparatus includes a map data acquiring means 11a, 11, 12, and 5 for acquiring map data including car pool lane data, a current position determining means 13, 14, 15, and 10 for determining a current position, and a display unit 2 for generating and displaying a map of an area surrounding the current position determined by the current position determining means on the basis of the map data acquired by the map data acquiring means. The navigation apparatus further includes a control unit 10 for, when moving close to a predetermined location during travel along a road, on a basis of the car pool lane data included in the map data acquired by the map data acquiring means, automatically causing the display unit to display a detailed drawing showing lane information and a car pool lane in distinction from other lanes while enlarging the lane information and the car pool lane.

To allow drivers of different vehicles to make contact with one another, a user terminal is provided in the vehicle, which accesses a server having a connected database. By way of this database, contact with another user who is also entered in the database, might be using the same travel route, and is therefore noticed by the user, can be established by inputting a vehicle license plate as a user ID. When a travel destination is input into a navigation device, the travel route calculated is entered in the database, and the server automatically undertakes a comparison with travel routes of other users who are contained in the database, and establishes contact between the users who have correlating user data sets.

The invention provides a crowd-sourcing-based intelligent car-pooling method for taxies. The intelligent car-pooling method includes the following steps that taxi client sides collect taxi travelling data and upload the data to a server; the server stores road condition information for all road sections; passenger client sides obtain own positions and destinations and upload the own positions and the destinations to the server; the server searches for car-pooling combinations and matches suitable users; the server sends matching information to one matched taxi client side and two matched passenger client sides; the passengers verify the matching result; the passengers complete the car-pooling process and report the process to the server. The crowd-sourcing technology is adopted, the information including vehicle positions and the like is collected through the client sides of taxi drivers, traffic conditions of all the road sections are obtained by the server through statistics, and a system can dynamically adapt to real-time traffic changes; an adopted algorithm allows car-pooling among the passengers whose starting points and the destinations are not adjacent, so that the car-pooling range of the users is effectively enlarged, and the success rate of car-pooling of the users is increased.

The invention discloses a real-time car pooling system for a mobile terminal. The real-time car pooling system for the mobile terminal comprises a user terminal, a background matching system, a geographic information system and the like. Users use various network accessing manners such as text messages, multimedia messages and Internet to access to the system. When user data such as starting locations and target locations submitted by the users are acquired by the system, text locations are converted into coordinates represented in longitude and latitude and route coincidence and target location deviation of the users are calculated by the geographic information system, real-time calculation for matching the users according to users' requirements and system matching logics is performed, and matching results are sent to the user terminal in a short period of time. In addition, certain matching parameters can be set by the system or the users, and accordingly more precise matching objects can be provided for the users, and a real-time car pooling matching system simple to use is provided for the users.

Disclosed is a real-time car-pooling matching method. The method includes the following steps: 1, modelling a real-time car-pooling scene; 2, performing real-time car-pooling matching, wherein the step 2 includes: 21, screening strategies based on maximum passenger waiting time of Euclidean distance; 22, screening strategies based on maximum car-pooling cost of Euclidean distance; 23, performing progressive Return screening; 24, performing progressive Pickup screening.