CN108965462A - Multiply trip analogue system and its implementation altogether based on group agent cooperation interaction - Google Patents

Multiply trip analogue system and its implementation altogether based on group agent cooperation interaction Download PDF

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CN108965462A
CN108965462A CN201810885563.1A CN201810885563A CN108965462A CN 108965462 A CN108965462 A CN 108965462A CN 201810885563 A CN201810885563 A CN 201810885563A CN 108965462 A CN108965462 A CN 108965462A
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altogether
agency
model
driver
trip
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CN108965462B (en
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唐蕾
孙晨
王瀚博
段宗涛
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Changan University
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/56Provisioning of proxy services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/52Network services specially adapted for the location of the user terminal

Abstract

Multiply trip analogue system and its implementation altogether based on group agent cooperation interaction, is pre-processed by the data of registering of the Poi to passenger agency and driver agency, generate trip constraint condition, then driver acts on behalf of to generate multiplies motivation, structural motive model altogether;Driver agency will multiply motivation altogether and multiple passengers act on behalf of and carry out communication and consultation, and negotiation result is formed route matching model;The driver agency and passenger agency for meeting route matching model are multiplied negotiation altogether, generate protocol model;By agent management system, Motivation Model, the route matching model, protocol model of driver agency and passenger agency are obtained;Agent management system generates by Motivation Model, route matching model and protocol model and multiplies system altogether between driver agency and passenger agency.The present invention is gradually implemented to coordinate, is adjusted its relationship with environment, change the behavior between different agencies by interaction mechanism, is completely multiplied trip altogether with emulation, can be shortened the R&D cycle, reduce cost.

Description

Multiply trip analogue system and its implementation altogether based on group agent cooperation interaction
Technical field
The invention belongs to agent skill group fields, are related to cooperation interaction between multiple agencies, and in particular to one kind is based on group's generation Reason cooperation interaction multiplies trip analogue system and its implementation altogether.
Background technique
As a kind of emerging mode of transportation, multiply trip not only environmental protection but also sustainable altogether, because it can not only allow passenger to save Trip Costs, such as fuel, pass cost and parking fee, moreover it is possible to reduce the traffic congestion and traffic congestion of automobile.Multiply-intension altogether The same vehicle same time is mainly reflected in for using with the user of identical trip requirements trip.From multiplying grasping for trip altogether The property made analysis, more people, which are multiplied by come off duty altogether, will reduce cost, also can satisfy the requirement for not multiplying person altogether to comfort, convenience.Altogether Saving expense possessed by multiplying and the convenient advantage of offer, become the trip mode of people's first choice.It can from the economy for multiplying trip altogether Row analysis, multiplies can satisfy the passenger for taking ridesharing vehicle to the comfort of trip and the requirement of convenience altogether, save trip Time cost.Based on multiplying trip operability and two point analysis of economic feasibility altogether, the research to trip service is multiplied altogether, it is contemplated that The finiteness of human resources in reality, it is necessary to carry out system emulation to it, can reduce multiply trip service research altogether in this way Cost consumption.It is also an effective way for solving more complex practical problem.
As an important research of artificial intelligence, group Agent technology mainly studies one group of autonomous Agent in distribution Under open dynamic environment, complicated control or task solving are completed by intelligent behaviors such as interaction, cooperation, competition, negotiations, by The social intelligence that the mankind can be more embodied in it, is more suitable open, dynamic social environment, thus in the case where multiplying trip altogether, group Agent technology, which may make, completes complicated plan of travel formulation and dynamic occupant ride task by behaviors such as interaction, negotiations It solves.Multiplied the emulation of process altogether using Agent the following steps are included: (1) creation multiplies demand altogether;(2) logical with other agencies Letter take the opportunity altogether between, travelling OD and drop-off pick-up points;(3) multiply demand altogether with interested agent negotiation, determine plan of travel;(4) Executive plan;(5) into system, agency provides feedback.
Existing Agent system interactive system mainly considers helping each other in the case where no goal conflict each Agent, Realize target.This research is not suitable for multiplying the driver and conductor's negotiations process for lower interests driving of going on a journey altogether.In view of multiplying altogether out In row system, driver and passenger has intelligence, autonomous activity, and in resource in limited, dynamic evolution traffic environment, having must It is supplied to and a kind of new multiplies trip analogue system altogether.
Summary of the invention
The object of the present invention is to provide a kind of to multiply trip analogue system and its realization side based on group agent cooperation interaction altogether Method.
To achieve the goals above, the present invention adopts the following technical scheme that:
It is a kind of that trip analogue system, including multi-agent system framework, JADE platform are multiplied based on group agent cooperation interaction altogether Multiply system together;Wherein,
Multi-agent system framework is used to provide the constraint condition multiplied under trip background altogether, is multiplied altogether out by constraint condition generation Capable Motivation Model, route matching model and protocol model;
Multiply system altogether to support under constraint condition, driver agency and passenger agency pass through Motivation Model, route matching model With protocol model, reaches and multiply trip Plan altogether and execute;
JADE platform includes agent management system and message delivery system;Wherein, agent management system multiplies altogether for providing System, driver agency and passenger's proxy access and realization Supervised Control;Message delivery system for manage JADE platform interior or The operation of message transmission, message coding and message parsing between multi-agent system framework and JADE platform.
A further improvement of the present invention lies in that when constraint condition includes the homeposition information of driver, destination, sets out Between, arrival time, seating capacity and credit worthiness and the homeposition information of passenger, destination, departure time and when reaching Between.
A kind of implementation method for multiplying trip analogue system altogether for acting on behalf of cooperation interaction more, comprising the following steps:
Step 1: being pre-processed by the Poi data of registering to passenger agency and driver agency, generate one group of trip about Beam condition;
Step 2: under constraint condition of going on a journey, driver acts on behalf of to generate multiplies motivation, structural motive model altogether;
Step 3: driver agency will multiply motivation altogether and multiple passengers act on behalf of and carry out communication and consultation, and negotiation result is formed path Matching Model;
Step 4: the driver agency and passenger agency for meeting route matching model are multiplied negotiation altogether, generate protocol model;
Step 5: by agent management system, to obtain the Motivation Model of driver agency and passenger agency, route matching Model, protocol model;
Step 6: in JADE platform, agent management system is raw by Motivation Model, route matching model and protocol model Multiply system altogether between driver agency and passenger agency.
A further improvement of the present invention lies in that the Poi of passenger agency and driver agency register data including passing through in step 1 Degree, latitude, arrival time, time departure and location information.
A further improvement of the present invention lies in that in step 1, constraint condition include the homeposition information of driver, destination, It departure time, arrival time, seating capacity and credit worthiness and the homeposition information of passenger, destination, departure time and arrives Up to the time.
A further improvement of the present invention lies in that the content of communication and consultation includes that driver agency and passenger act on behalf of out in step 3 Send out time and arrival time.
A further improvement of the present invention lies in that route matching model is used to search driver Agent and passenger by similarity The Similar Track of Agent.
A further improvement of the present invention lies in that similarity is obtained by following procedure: calculating driver's Agent unit first Apart from upper consumed time cost M, next calculates separately out passenger Agent consumed time cost in unit distance n1、n2、n3, then by passenger Agent in unit distance consumed time cost n1、n2With n3It is added to obtain N, finally calculates M/ N, resulting value are similarity size.
Compared with prior art, the invention has the benefit that
This system belongs to distributed structure/architecture, and each agency belongs to an intelligent body, and between be independent from each other, increase The big quantity of System Agent, the scalability of system are higher.AMS acts on behalf of driver and passenger agency is managed and coordinates, and takes charge of Machine agency, which is acted on behalf of by ACL (agent communication language) with passenger, to be implemented to interact and communicate, and realization multiplies altogether The operation of cooperation, collaboration and negotiation in trip.The present invention removes the LIST SERVER in traditional JADE Platform (DF), Agent management system and the big module of message delivery system two are only remained, entire analogue system operational paradigm is improved.
With it is traditional multiply process altogether compared with, the present invention binds multi-agent technology and JADE platform, system it is fault-tolerant Property improve, convenient for the management to life cycle is acted on behalf of, between each agency collaboration complete multiply altogether trip service.A kind of base of the present invention Multiply trip analogue system altogether in group agent cooperation interaction, using agent skill group simulation driver and passenger's travel activity, and supports The two is in the case where interests of going on a journey are inconsistent, by interaction mechanism, gradually implements to coordinate, adjusts its relationship with environment, change Become the behavior between different agencies, completely multiplies trip altogether to emulate.Present invention employs emulation technologies, it is possible to which shortening is ground The hair period improves production process, reduces cost and aid decision.
Detailed description of the invention
Fig. 1 be it is of the invention act on behalf of cooperation interaction multiply travel system frame altogether.
Specific embodiment
It is carried out to of the invention based on the realization for multiplying trip analogue system altogether for more acting on behalf of cooperation interaction below in conjunction with attached drawing Specific description.
The present invention uses the JADE platform towards three-tier architecture, including MAS Architecture (multi-agent system frame Structure), JADE Platform (JADE platform) and RIDESHARE System (multiplying system altogether);Wherein,
Multi-agent system framework is used to provide the constraint condition multiplied under trip background altogether, is multiplied altogether out by constraint condition generation Capable Motivation Model, route matching model and protocol model.
For example, constraint condition therein includes the homeposition information of driver, destination, departure time, arrival time, seat Digit and credit worthiness, homeposition information, destination, departure time and the arrival time of passenger.
JADE platform mainly includes agent management system (AMS, Agent Management System) and message transmission system It unites (MTS, Message Transport System).Wherein AMS is that an offer access and agent platform realize Supervised Control Agent (agency).It is responsible for safeguarding the agent activities on resident JADE platform and life cycle, management third-party application with The interaction of JADE platform, the mark of specification Agent.MTS manages JADE platform interior or multi-agent system framework and JADE platform Between message transmission, message coding and message parsing etc. operation.
Multiply system altogether to support under one group of constraint condition, driver agency and passenger agency pass through Motivation Model, route matching Model and protocol model reach and multiply trip Plan altogether and execute.
The present invention further improvement lies in that, in multi-agent system framework layer, to driver agency and passenger agency constraint Condition carries out data processing, so that design multiplies Motivation Model, route matching model, protocol model required for trip altogether.Wherein, The detailed process of data processing is carried out to the constraint condition of driver agency and passenger agency are as follows: choose the inclined of driver and passenger agency It is good, as departure time, place of arrival refer to as the constraint condition for multiplying trip altogether, the data processing of path model and protocol model It is that the mathematical formulae established to this path model and protocol model carries out data verification.
A further improvement of the present invention lies in that removing the LIST SERVER (DF) in traditional JADE Platform, only protect Agent management system and the big module of message delivery system two have been stayed, entire analogue system operational paradigm is improved.
The present invention improves JADE platform.JADE (JavaAgent Development Framework) is one Cover software development framework.Purpose is to develop Agent system and follows the intelligent agent application program of FIPA standard. JADE platform written in Java is made of various Java packets, these software packages provide ready-made for application program Function and abstract excuse, independent application program.In Agent system, communication is the key that progress problem solving, and each Agent realizes the basis of cooperation purpose.Agent communication language (agent communication language, ACL) is a kind of For expressing the description language of interaction message between Agent.It provides the tool exchanged between Agent, makes between Agent It can be in communication with each other to which interaction is to achieve the purpose that Solve problems.ACLMessage class describe can agent it Between the ACL message that swaps.It contains a set of attribute by FIPA norm-setting.
Agent communication language feature is as follows:
(a) one message of response is supported.It is standardized according to FIPA, the rule that a response message must be perfect by a set of tissue It constitutes, for example, the suitable value of in-reply-to attribute setting, uses identical conversation-id etc..JADE passes through CreateReply () method helper person of ACLMessage class completes this work.This method return one it is new ACLMessage object, it is effectively responded to one of current message.
(b) it supports Java serializing and sends byte sequence.Perhaps, some application programs, which are benefited from, to be passed through The content of ACLMessage transmits byte sequence.One it is typical using be exactly utilize the serializing of Java two agent it Between transmit Java object.ACLMessage class support program person using setContentObject () and GetContentObject () method transmits ACLMessage object, the two methods activate Base64 to encode automatically.
(c) ACL encoder.Under normal circumstances, agent never needs to the encoder for explicitly calling ACLMessage, Because platform can be automatically completed.However, in some special circumstances, programmer should use StringACLCodec class to provide Method come the parsing of ACL message and be encoded into character string (String) format.
(d) possess message template (Message Template) class, it is several that JADE behavior model allows an agent to execute Parallel task.However any agent should have execution multiple while the ability of dialogue.Because the queue for receiving message is complete Portion's agent behavior is shared, so to realize the queue access pattern based on pattern match.MessageTemplate class Allow to construct the mode of matching ACL message.Programmer can be each ACLMessage attribute by using the method for this class Create a mode.The mode that user can be specified with definition application, this mode inheritance MatchExpression connect Mouthful, new match () method is provided, can be used for the pattern match stage.
It is a kind of based on the above-mentioned implementation methods for multiplying trip analogue system altogether for acting on behalf of cooperation interaction referring to Fig. 1 more, including with Lower step:
Step 1: being pre-processed by the data of registering of the Poi to passenger Agent and driver Agent, wherein passenger Agent It include longitude, latitude, arrival time, time departure and location information with the Poi of driver Agent data of registering, by A1Mould One group of trip constraint is generated after block.
1 Poi of table registers data
According to longitude and latitude distance calculation formulaIt calculates The distance between two places of distance l.Wherein WA, WB indicate that the latitude of A, B two o'clock, JA, JB indicate the longitude of A, B two o'clock, R table Show earth radius, value is 6378137.0 meters.
Step 2: using constraint condition as A2The input of module, driver Agent generation multiply motivation, structural motive model altogether. Motivation Model is described as Agent (departure time, the time of reaching, destination).Driver Agent (10:07,11:10, favorable to the people reputation Print service society) passenger Agent (10:31,10:44, Tsinghua University).
Step 3: driver Agent will multiply motivation altogether and link up with multiple passenger Agent, and negotiation result is inputted A3Module Form (path) Matching Model.The model is mainly used for the similar road by similarity search driver Agent and passenger Agent Diameter.
There are two types of basic class for similarity:
(1) objective similarity, i.e. similarity between object are certain functional relations between the multidimensional characteristic of object, than Such as the Euclidean distance between object;
(2) subjective similarity, i.e. similarity is cognition relationship of the people to research object.
The present invention uses objective similarity.Consumed time cost M in driver's Agent unit distance is calculated first, Next calculates separately out passenger Agent consumed time cost n in unit distance1、n2、n3, it is then added to obtain N, most After calculate M/N, resulting value is similarity size.
Step 4: the driver Agent and passenger Agent for meeting route matching model are multiplied negotiation altogether, pass through modules A4It is raw At protocol model.The content of negotiation mainly includes driver Agent and passenger's Agent departure time and arrival time.
Multiplying in the stage altogether, acted on behalf of driver and passenger as one, only when two desired strokes of agency are opened Beginning the time can be with universal time coordinated, and negotiation can just succeed.
Step 5: using AMS optimization module A5, to obtain the Motivation Model of driver Agent and passenger Agent, path With model, protocol model.Wherein, optimization refers to that AMS (agent management system) is responsible for access of the supervision and management to Agent platform With the Agent used, retain Agent identifier catalogue (AID) and Agent status information.
Step 6: in JADE platform, AMS generates driver by Motivation Model, route matching model and protocol model Multiply system altogether between Agent and passenger Agent.In the operation of entire analogue system, the interaction between more agencies is logical Cross message delivery system (MTS) completion.
Modules A in the present invention1, modules A2, modules A3, modules A4With modules A5It is existing module, can be realized this hair Function in bright.

Claims (6)

1. a kind of multiply trip analogue system based on group agent cooperation interaction altogether, which is characterized in that including multi-agent system framework, JADE platform multiplies system together;Wherein,
Multi-agent system framework is used to provide the constraint condition multiplied under trip background altogether, multiplies trip altogether by constraint condition generation Motivation Model, route matching model and protocol model;
Multiply system altogether to support under constraint condition, driver agency and passenger agency pass through Motivation Model, route matching model and association Quotient module type reaches and multiplies trip Plan altogether and execute;
JADE platform includes agent management system and message delivery system;Wherein, agent management system for provide multiply altogether system, Driver agency and passenger's proxy access and realization Supervised Control;Message delivery system is for managing JADE platform interior or more agencies The operation of message transmission, message coding and message parsing between system architecture and JADE platform.
A kind of trip analogue system is multiplied based on group agent cooperation interaction altogether 2. according to claim 1, which is characterized in that Constraint condition includes homeposition information, destination, departure time, arrival time, seating capacity and the credit worthiness of driver, and multiplies Homeposition information, destination, departure time and the arrival time of visitor.
3. it is a kind of based on the implementation methods for multiplying trip analogue system altogether for acting on behalf of cooperation interaction of any of claims 1 or 2 more, It is characterized in that, comprising the following steps:
Step 1: being pre-processed by the Poi data of registering to passenger agency and driver agency, generate one group of trip and constrain item Part;
Step 2: under constraint condition of going on a journey, driver acts on behalf of to generate multiplies motivation, structural motive model altogether;
Step 3: driver agency will multiply motivation altogether and multiple passengers act on behalf of and carry out communication and consultation, and negotiation result is formed route matching Model;
Step 4: the driver agency and passenger agency for meeting route matching model are multiplied negotiation altogether, generate protocol model;
Step 5: by agent management system, thus obtain driver agency and passenger agency Motivation Model, route matching model, Protocol model;
Step 6: in JADE platform, agent management system passes through Motivation Model, route matching model and protocol model, generation department Multiply system altogether between machine agency and passenger agency.
4. it is according to claim 3 it is a kind of based on act on behalf of more cooperation interaction multiply altogether trip analogue system implementation method, It is characterized in that, the Poi that passenger agency and driver act on behalf of in step 1 registers, data include longitude, latitude, arrival time, leave Time and location information.
5. it is according to claim 3 it is a kind of based on act on behalf of more cooperation interaction multiply altogether trip analogue system implementation method, It is characterized in that, constraint condition includes the homeposition information of driver, destination, departure time, arrival time, seat in step 1 Homeposition information, destination, departure time and the arrival time of digit and credit worthiness and passenger.
6. it is according to claim 2 it is a kind of based on act on behalf of more cooperation interaction multiply altogether trip analogue system implementation method, It is characterized in that, the content of communication and consultation includes that driver agency and passenger act on behalf of departure time and arrival time in step 3.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110084390A (en) * 2019-03-26 2019-08-02 河南科技学院 A kind of more vehicles collaboration share-car method for optimizing route based on modified drosophila algorithm

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090172009A1 (en) * 2007-12-28 2009-07-02 Carpools Consolidated Corporation Carpool or Ride Matching by wireless digital messaging Linked Database
CN202650066U (en) * 2012-06-29 2013-01-02 山东电力集团公司电力科学研究院 Coordination control system for electric-automobile service network based on Multi-Agent system
WO2013039573A2 (en) * 2011-09-15 2013-03-21 Heath Stephan System and method for providing internet and mobile based social/geo/promo link promotional and coupon data sets for end user display of interactive location-based advertising, location-based deals and offers and location-based services, ad links, promotions, mobile coupons, promotions and sale of consumer, business, government, sports, or educational related products, goods, gambling, or services, integrated with 3d spatial geomapping, mobile mapping, company and local information for selected worldwide locations and social shopping and social networking
CN103985247A (en) * 2014-04-24 2014-08-13 北京嘀嘀无限科技发展有限公司 Taxi transport capacity scheduling system based on city taxi calling demand distribution density
CN105489002A (en) * 2016-01-05 2016-04-13 深圳大学 Intelligent matching and route optimization-base carpooling method and system
US20160144853A1 (en) * 2014-11-24 2016-05-26 Here Global B.V. Method and apparatus for providing notifications based on ranking of road links
CN105933424A (en) * 2016-05-11 2016-09-07 深圳市双赢伟业科技股份有限公司 Service method of Internet of Vehicles
CN106056215A (en) * 2016-06-29 2016-10-26 武汉工程大学 Domain ontology based heterogeneous Agent capability modeling and matching method
EP3179420A1 (en) * 2014-08-04 2017-06-14 Beijing Didi Infinity Technology and Development Co., Ltd. Service distribution system and method
CN107093326A (en) * 2016-02-17 2017-08-25 滴滴(中国)科技有限公司 The broadcasting method and system of navigation path
CN107609035A (en) * 2017-08-09 2018-01-19 北京趣拿软件科技有限公司 The recommendation method and apparatus of information

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090172009A1 (en) * 2007-12-28 2009-07-02 Carpools Consolidated Corporation Carpool or Ride Matching by wireless digital messaging Linked Database
WO2013039573A2 (en) * 2011-09-15 2013-03-21 Heath Stephan System and method for providing internet and mobile based social/geo/promo link promotional and coupon data sets for end user display of interactive location-based advertising, location-based deals and offers and location-based services, ad links, promotions, mobile coupons, promotions and sale of consumer, business, government, sports, or educational related products, goods, gambling, or services, integrated with 3d spatial geomapping, mobile mapping, company and local information for selected worldwide locations and social shopping and social networking
CN202650066U (en) * 2012-06-29 2013-01-02 山东电力集团公司电力科学研究院 Coordination control system for electric-automobile service network based on Multi-Agent system
CN103985247A (en) * 2014-04-24 2014-08-13 北京嘀嘀无限科技发展有限公司 Taxi transport capacity scheduling system based on city taxi calling demand distribution density
EP3179420A1 (en) * 2014-08-04 2017-06-14 Beijing Didi Infinity Technology and Development Co., Ltd. Service distribution system and method
US20160144853A1 (en) * 2014-11-24 2016-05-26 Here Global B.V. Method and apparatus for providing notifications based on ranking of road links
CN105489002A (en) * 2016-01-05 2016-04-13 深圳大学 Intelligent matching and route optimization-base carpooling method and system
CN107093326A (en) * 2016-02-17 2017-08-25 滴滴(中国)科技有限公司 The broadcasting method and system of navigation path
CN105933424A (en) * 2016-05-11 2016-09-07 深圳市双赢伟业科技股份有限公司 Service method of Internet of Vehicles
CN106056215A (en) * 2016-06-29 2016-10-26 武汉工程大学 Domain ontology based heterogeneous Agent capability modeling and matching method
CN107609035A (en) * 2017-08-09 2018-01-19 北京趣拿软件科技有限公司 The recommendation method and apparatus of information

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
段宗涛: "车联网大数据环境下的交通信息服务协同体系", 《长安大学学报(自然科学版)》 *
江昌旭: "基于多代理技术和强化学习算法的电动出租车运营仿真研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110084390A (en) * 2019-03-26 2019-08-02 河南科技学院 A kind of more vehicles collaboration share-car method for optimizing route based on modified drosophila algorithm
CN110084390B (en) * 2019-03-26 2024-01-12 河南科技学院 Multi-vehicle collaborative carpooling path optimization method based on improved drosophila algorithm

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