CN101079792B - Taxi dispatching system based on instant communication and its method - Google Patents
Taxi dispatching system based on instant communication and its method Download PDFInfo
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Abstract
The invention discloses a taxi dispatching method and system based on timely communication, which comprises the following steps: (a) receiving the input request of user based on timely communication tool; analyzing and disposing the semantics according to the user request; (b) obtaining the locating information and passenger-carrying information of taxi; selecting one or more dispatching projectsaccording to the semantic analytic and disposing result; (c) transmitting the reserved request to the taxi customer end according to the dispatching project; returning the respond from taxi customer end to the user. The invention is convenient to reserve the taxi, which improves the respond speed and precision automatically.
Description
Technical field
The present invention relates to the taxi dispatching technology, particularly a kind of taxi dispatching system and method thereof based on instant messaging.
Background technology
At present, out selecting the method for hiring a car has:
1) wait in the roadside, and this is a kind of process of completely random, and special when a little residing position of waiting is remote relatively, the stand-by period can be long;
2) reserve by phone, one or several sequence call need be provided, arrange full-time manpower on duty, dispatching desk is by global positioning system (Global Position System, abbreviation GPS) system obtains the geography information of taxi, therefrom selects an optimal scheme according to client's demand.There are shortcomings such as human error, inefficiency in the processing reserve requests on duty and dispatching but this mode need be disposed available manpower, and the client needs continuous re-dialing telephone, inefficiency when trunks busy; When temporarily not having the scheme that is fit to, the client still needs to call again, is satisfied until demand.
3) website reservation generally is to sign in to certain reservation website, and information such as fill in the time, place are submitted reserve requests to.But this list way of submission does not meet client's daily interchange custom, and the client more wishes to exchange with the mode of natural language; When temporarily not having the scheme that is fit to, the client need repeat to send request, is satisfied until demand.
Summary of the invention
The object of the present invention is to provide a kind of taxi dispatching system and method thereof based on instant messaging.
The technical solution adopted for the present invention to solve the technical problems is: a kind of taxi dispatching system based on instant messaging comprises user front end processing module, information analysis processing module, taxi dispatching message processing module and taxi client process module;
Described user front end processing module is used to receive the request that the user imports based on JICQ, and is responsible for described request is sent to described information analysis processing module processing and described information analysis processing module feedack is sent to the user;
Described information analysis processing module, be used to receive user's request, described request is carried out semantic dissection process, and described semantic dissection process result is sent to described taxi dispatching message processing module processing and described taxi dispatching message processing module feedack is sent to described user front end processing module;
Described taxi dispatching message processing module, be used for result according to described information analysis processing module, orient the geographical position of hiring a car, gather the carrying information of taxi, and select one or more scheduling schemes, send reserve requests according to this scheduling scheme to described taxi client process module;
Described taxi client process module, be arranged on the taxi end, be used for real-time report carrying information, receive the reserve requests that described taxi dispatching message processing module is sent, and feed back replying of described reserve requests to described taxi dispatching message processing module.
Among the present invention, described user front end processing module specifically comprises Subscriber Interface Module SIM and network transceiving module;
Described Subscriber Interface Module SIM, communication pattern based on JICQ, receive the request of the natural language of user's input, and should ask to be sent to described information analysis processing module by described network transceiving module, replying of simultaneously described information analysis processing module being sent returns to described user;
Described network transceiving module is responsible for the network communication between described user front end processing module and the described information analysis processing module.
Among the present invention, described information analysis processing module specifically comprises network transceiving module, taxi knowledge base, computational language knowledge base, natural language parsing module and reasoning module;
Network transceiving module is responsible for the network communication between described information analysis processing module and described user front end processing module, the described taxi dispatching message processing module;
The taxi knowledge base is used to store and the relevant data of taxi reservation, comprises pricing information, geographical location information, the reservation Rule Information of taxi;
The computational language knowledge base is used for storage and semantic analytically dependent data, comprises dictinary information, word frequency information, syntactic rule information and semantic rules information;
The natural language parsing module is used to call described computational language knowledge base and the sentence of user's input is carried out natural language resolves, and this analysis result is sent to described reasoning module;
Reasoning module is used to receive user's request that described network transceiving module is sent, and calls described taxi knowledge base according to the analysis result of described natural language understanding module and carry out reasoning and handle.
Among the present invention, described taxi dispatching message processing module specifically comprises network transceiving module, global positioning system and scheduler module;
Network transceiving module is responsible for the network communication between described taxi dispatching message processing module and described information analysis processing module, the described taxi client process module;
Global positioning system is used to provide the locating information of hiring a car;
Scheduler module, the locating information that the taxi that provides by described global positioning system is provided, obtain the carrying information of described taxi client process module, and ask to select one or many scheduling schemes according to the user, and send reserve requests to corresponding described taxi client process module by described network transceiving module according to current described locating information and described carrying information.
Among the present invention, described taxi client process module specifically comprises network transceiving module and client's module;
Network transceiving module is responsible for the network communication between described taxi client process module and the described taxi dispatching message processing module;
Client's module, be used for providing real-time carrying information to described taxi dispatching message processing module by described network transceiving module, receive the reserve requests that described taxi dispatching message processing module is sent, and according to described reserve requests by described network transceiving module to described taxi dispatching message processing module echo reply.
The present invention also discloses a kind of method for taxi dispatching based on instant messaging simultaneously, may further comprise the steps:
(a), receive the request that the user imports based on JICQ, and semantic dissection process is carried out in described user's request;
(b), obtain the locating information and the carrying information of taxi, and select one or more scheduling schemes according to the result of described semantic dissection process;
(c), send reserve requests to corresponding taxi client, and will receive that replying that described taxi client sends returns to described user according to described scheduling scheme.
Among the present invention, in the described step (a), the step that semantic dissection process is carried out in described user's request comprises:
(a1), call the computational language knowledge base and the sentence of described user input is carried out natural language resolve, described computational language knowledge base storage and semantic analytically dependent data comprise dictinary information, word frequency information, syntactic rule information and semantic rules information;
(a2), call out the knowledge base of hiring a car according to described analysis result the sentence that described user imports is carried out reasoning, described taxi knowledge base has been stored and the relevant data of taxi reservation, comprises pricing information, geographical location information, the reservation Rule Information of taxi.
Among the present invention, further comprise before in the described step of execution (a2):
If the solicited message of user's input that described analysis result is represented is imperfect, then notify described user to import complete solicited message;
If the solicited message of user's input that described analysis result is represented is complete, then carry out described step (a2).
Among the present invention, described step (b) further comprises:
If the request that current described locating information and/or described carrying information do not satisfy described user, then write down described user's request and insert request queue, whether regular check has the request of satisfying described user, is satisfied or described user cancels this request until described user's request.
Among the present invention, described step (c) further comprises:
Judge the request of whether satisfying described user of replying that described taxi client returns;
If satisfy, then will ask to handle successful information and return to described user; Otherwise, will ask to handle unsuccessful information and return to described user, and write down described user's request simultaneously, described step (b) is carried out in circulation, cancels described request until described request processing success or user.
By adopting technical solution of the present invention, the user can import natural language by JICQ can preengage taxi easily, more press close to daily interchange and thoughtcast, needn't wait for aimlessly or worried for the line is busy, and the reserve requests of automation is handled and scheduling has improved response speed and accuracy rate, reduces the input of manpower and materials.
Description of drawings
Fig. 1 is the structural representation that the present invention is based on the taxi dispatching system of instant messaging;
Fig. 2 is the flow chart that the present invention is based on the method for taxi dispatching of instant messaging.
Embodiment
The present invention is further elaborated with specific embodiment with reference to the accompanying drawings below.
As shown in Figure 1, a kind of taxi dispatching system based on instant messaging mainly comprises: user front end processing module 10, information analysis processing module 20, taxi dispatching message processing module 30 and taxi client process module 40.
Wherein, user front end processing module 10, be client 1 and the mutual interface of whole system, be used to receive the request that the user imports based on JICQ, and be responsible for described request is sent to 20 processing of information analysis processing module and described information analysis processing module 20 feedacks are sent to the user.Specifically comprise Network Interface Module 11 and network transceiving module 12.
Network transceiving module 12 mainly is responsible for the network communication between user front end processing module 10 and the described information analysis processing module 20.Network Interface Module 11, its communication pattern (as: QQ, MSN, mobile QQ etc.) based on JICQ, be used to receive the request (as " I will be scheduled to a taxi; 12 noon; the S mansion; phone 123456 ") of the natural language of user's input, and should ask to be sent to information analysis processing module 20 and handle by network transceiving module 11.Simultaneously, with information analysis processing module 20 by replying of sending of network transceiving module 11 (as " and good, thanks your patronage! " or " I'm sorry, please import more detailed geographical location information.") return to user 1.
Wherein, information analysis processing module 20, be responsible for process user solicited message (being the sentence of the natural language imported of user), and be translated into inside story form (that is to say the form of message that taxi dispatching message processing module 30 can be discerned), and be sent to taxi dispatching message processing module 30.Specifically comprise: network transceiving module 21, taxi knowledge base 22, computational language knowledge base 23, natural language parsing module 24 and reasoning module 25.
Network transceiving module 21 mainly is responsible for the network communication between information analysis processing module 20 and user front end processing module 10, the taxi dispatching message processing module 30.Network transceiving module 21 is the network communication module that realizes based on communication protocol (as the TCP/UDP agreement etc.).
Taxi knowledge base 22, stored and the relevant data (relevant knowledge, rule) of taxi reservation, included but not limited to pricing information, geographical location information, the reservation Rule Information (as: must provide required time, place etc. accurately during reservation) of taxi.That is to say, this taxi knowledge base 22 has been stored many knowledge relevant with taxi, every knowledge is organized into the form of problem and answer, it is individual that problem and answer have N (N＞=1), problem can be regarded as the normalization sentence of similar canonical formula, set up index (multidigit index) according to information (as: about physical culture aspect, amusement aspect etc.) such as the keyword of question sentence, sentence type, topics, answer then is the information (as: price, user view are described) about taxi.
Computational language knowledge base 23, storage and semantic analytically dependent data include but not limited to various statisticss such as dictinary information, word frequency information, syntactic rule information and semantic rules information, it mainly uses for natural language parsing module 24.
Natural language parsing module 24 is responsible for the sentence of user's input is carried out the natural language parsing, extracts sentence trunk and other semantic information be made up of keyword from sentence.Its resolving is: the natural language sentences that receive, participle obtains keyword sequence and filters stop words (as: responsive vocabulary), word normalization (synonym replacement), judge this sentence type (as: ask the place, ask the personage, ask the time etc.) then, obtain topic information (as: about the physical culture aspect, about amusement aspect etc.), at last above-mentioned information is sent to reasoning module 25.
Reasoning module 25, receive user request information (sentence based on natural language of user's input) by network transceiving module 21, and call out the knowledge base 22 of hiring a car according to the analysis result (being keyword and sentence type, topic information etc.) of natural language understanding module 24 and carry out reasoning and handle, be that reasoning module 25 is according to these information (keyword and sentence type, topic information etc.), search to taxi knowledge base 22, obtain one or more knowledge, select the structure an of the best to return according to certain principle again.Here the result that reasoning is handled has two kinds of possibilities: 1) solicited message of user's input is imperfect (as: does not provide required time, or the address is inaccurate), is (as: what required time then to need to send inquiry message by network transceiving module 21 to user front end processing module 10? better address?); 2) solicited message of user's input is complete, and then the information that reasoning is obtained is converted into the inside story form, and sends to taxi dispatching message processing module 30.
Wherein, taxi dispatching message processing module 30, be used to orient the geographical position of hiring a car, gather the current carrying information (whether idle) of taxi, select one or more scheduling schemes (for example: have those taxis to satisfy user's demand) according to user's request, and send reserve requests to taxi client process module 40 according to this scheduling scheme.Specifically comprise: network transceiving module 31, gps system 32 and scheduler module 33.
Network transceiving module 31 mainly is responsible for the network communication between taxi dispatching message processing module 30 and information analysis processing module 20, the taxi client process module 40.
Gps system 32 is used to provide the locating information of hiring a car.
Scheduler module 33, get access to the locating information of taxi from gps system 32, and get access to the current carrying information of taxi from taxi client process module 40, select one or many scheduling schemes according to current locating information and described carrying information according to user request information (this information via information analysis processing module 20 is converted into taxi dispatching message processing module 30 discernible inside story forms) then, and send reserve requests to corresponding taxi client process module 40 by network transceiving module 31.
Concrete, above-mentioned scheduling (scheduling: select an only scheme, in the present invention, can select from the nearest taxi of user's starting point, both economical like this) scheme generates as follows: scheduler module 33 is set up a taxi information Table A with the locating information of the gps system 32 that receives and the carrying information that taxi client process module 40 is sent, and be index with taxi ID (as: license plate number), can find corresponding information (as: geographical location information, carrying information).When user's information requested was sent, the reasoning module 25 in the information analysis processing module 20 was handled this user's information requested earlier, and where does obtain user view (as: need? time? number? Deng).Then, scheduler module 33 is searched in the taxi information Table A according to this user view, if the taxi of meeting consumers' demand (promptly find idle and from the nearest taxi of user's starting point) is arranged, then sends request instruction (reserve requests) to described taxi; If do not have, then a formation is put in this user's request, search one time at the taxi information Table A every the regular hour, up to having the taxi or the user that satisfy the demands to cancel this request.
Wherein, taxi client process module 40, be arranged on the taxi end, real-time report carrying information information such as (taxi whether) free time, receive the reserve requests that taxi dispatching message processing module 30 is sent, and feed back reply (the accepting or refusal) of these reserve requests to taxi dispatching message processing module 30.Specifically comprise network transceiving module 41 and client's module 42.
Network transceiving module 41 is responsible for the network communication between taxi client process module 40 and the taxi dispatching message processing module 30.
Client's module 42, provide real-time carrying information by network transceiving module 41 to taxi dispatching message processing module 30, receive the reserve requests that taxi dispatching message processing module 30 is sent, and return replying of accepting or refuse by network transceiving module 41 to taxi dispatching message processing module 30 according to this reserve requests.
Concrete, if 2 pairs of these reserve requests of taxi driver are represented to accept, then report and accept reserve requests by client's module 42, and be sent to information analysis processing module 20 by network transceiving module 41, network transceiving module 31, information analysis processing module 20 will ask to handle successful information (as " your request is accepted, thanks your patronage! ") return to the user.
If 2 pairs of these reserve requests of taxi driver are represented refusal (expression temporarily can't be met consumers' demand), then report the refusal reserve requests, and be sent to information analysis processing module 20 by network transceiving module 41, network transceiving module 31 by client's module 42.Information analysis processing module 20 will ask to handle unsuccessful information (as " sorry; as temporarily can not to satisfy your demand; your demand is recorded; if processed; that we are apprise you of as early as possible "), simultaneously this reserve requests is inserted the request queue of scheduler module 33, whether the taxi information (until having the taxi or the user that meet consumers' demand to cancel request) of meeting consumers' demand is arranged by scheduler module 33 regular checks.In like manner, if the taxi of meeting consumers' demand is arranged, then announcement information dissection process module 20 sends request by information analysis processing module 20 to the user and handles successful information.
As shown in Figure 2, in the preferred embodiment of the present invention, a kind of method for taxi dispatching based on instant messaging mainly comprises the steps:
S1 receives the request of user's input.The user can pass through the sentence of JICQ (as: QQ, MSN etc.) input natural language.
S2 carries out semantic dissection process with the solicited message that receives.That is to say, the sentence of user input is carried out natural language resolve, and the sentence of user's input is carried out reasoning, thereby the sentence that makes the user import is converted into the inside story form by calling out the knowledge base of hiring a car by calling the computational language knowledge base.
S3 obtains current locating information of taxi and carrying information.Can obtain the locating information of taxi by GPS provider, and obtain carrying information from the taxi client.
S4, locating information and the carrying information current according to the taxi that gets access to, and, judge whether the taxi information of meeting consumers' demand according to user's solicited message (this solicited message has been converted into the inside story form in step S2).
S5, if the request that current locating information and/or carrying information can not satisfy the user, then write down this user's request and insert request queue, unsuccessful information (as " sorry; that temporarily can not satisfy your request, your request is recorded ") is handled in the request that sends simultaneously, and returns execution in step S3, whether regular check has the request of satisfying described user, is satisfied or this user cancels this request until this user's request.
If S6 the request that current locating information and carrying information all can satisfy the user, then according to current locating information and the carrying information of taxi that gets access to, and according to user's solicited message, selects one or more scheduling schemes.
S7, S8 according to above-mentioned scheduling scheme, send reserve requests to corresponding taxi client, and this reserve requests is with the form of inside story the solicited message of user's input to be sent to the taxi client.When receiving replying that the taxi client returns, need judge that this replys the request of whether satisfying the user.
If what the taxi client was returned replys the request of satisfying the user, execution in step S9 then, otherwise, return step S5, to ask to handle unsuccessful information and return to this user, and write down this user's request simultaneously, cancel described request until described request processing success or user.
S9 handles successful information (as " your request is accepted, thanks your patronage ") with request and returns to this user.
In sum, by adopting technical solution of the present invention, the user can import natural language by JICQ can preengage taxi easily, and the reserve requests of automation is handled and scheduling has improved response speed and accuracy rate.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within the claim scope of the present invention.
Claims (10)
1. the taxi dispatching system based on instant messaging is characterized in that, comprises user front end processing module, information analysis processing module, taxi dispatching message processing module and taxi client process module;
Described user front end processing module is used to receive the request that the user imports based on JICQ, and is responsible for described request is sent to described information analysis processing module processing and described information analysis processing module feedack is sent to the user;
Described information analysis processing module, be used to receive user's request, this request comprises the information of time, pick-up point and the telephone number of ordering a taxi, described request is carried out semantic dissection process, and described semantic dissection process result is sent to described taxi dispatching message processing module processing and described taxi dispatching message processing module feedack is sent to described user front end processing module;
Described taxi dispatching message processing module, be used for result according to described information analysis processing module, orient the geographical position of hiring a car, gather the carrying information of taxi, and select one or more scheduling schemes, send reserve requests according to this scheduling scheme to described taxi client process module;
Described taxi client process module, be arranged on the taxi end, be used for real-time report carrying information, receive the reserve requests that described taxi dispatching message processing module is sent, and feed back replying of described reserve requests to described taxi dispatching message processing module.
2. the taxi dispatching system based on instant messaging according to claim 1 is characterized in that, described user front end processing module specifically comprises Subscriber Interface Module SIM and network transceiving module;
Described Subscriber Interface Module SIM, communication pattern based on JICQ, receive the request of the natural language of user's input, and should ask to be sent to described information analysis processing module by described network transceiving module, replying of simultaneously described information analysis processing module being sent returns to described user;
Described network transceiving module is responsible for the network communication between described user front end processing module and the described information analysis processing module.
3. the taxi dispatching system based on instant messaging according to claim 1, it is characterized in that described information analysis processing module specifically comprises network transceiving module, taxi knowledge base, computational language knowledge base, natural language parsing module and reasoning module;
Network transceiving module is responsible for the network communication between described information analysis processing module and described user front end processing module, the described taxi dispatching message processing module;
The taxi knowledge base is used to store and the relevant data of taxi reservation, comprises pricing information, geographical location information, the reservation Rule Information of taxi;
The computational language knowledge base is used for storage and semantic analytically dependent data, comprises dictinary information, word frequency information, syntactic rule information and semantic rules information;
The natural language parsing module is used to call described computational language knowledge base and the sentence of user's input is carried out natural language resolves, and this analysis result is sent to described reasoning module;
Reasoning module is used to receive user's request that described network transceiving module is sent, and calls described taxi knowledge base according to the analysis result of described natural language understanding module and carry out reasoning and handle.
4. the taxi dispatching system based on instant messaging according to claim 1 is characterized in that, described taxi dispatching message processing module specifically comprises network transceiving module, global positioning system and scheduler module;
Network transceiving module is responsible for the network communication between described taxi dispatching message processing module and described information analysis processing module, the described taxi client process module;
Global positioning system is used to provide the locating information of hiring a car;
Scheduler module, the locating information that the taxi that provides by described global positioning system is provided, obtain the carrying information of described taxi client process module, and ask to select one or many scheduling schemes according to the user, and send reserve requests to corresponding described taxi client process module by described network transceiving module according to current described locating information and described carrying information.
5. the taxi dispatching system based on instant messaging according to claim 1 is characterized in that, described taxi client process module specifically comprises network transceiving module and client's module;
Network transceiving module is responsible for the network communication between described taxi client process module and the described taxi dispatching message processing module;
Client's module, be used for providing real-time carrying information to described taxi dispatching message processing module by described network transceiving module, receive the reserve requests that described taxi dispatching message processing module is sent, and according to described reserve requests by described network transceiving module to described taxi dispatching message processing module echo reply.
6. the method for taxi dispatching based on instant messaging is characterized in that, may further comprise the steps:
(a), receive the request that the user imports based on JICQ, this request comprises the information of time, pick-up point and the telephone number of ordering a taxi, and semantic dissection process is carried out in described user's request;
(b), obtain the locating information and the carrying information of taxi, and select one or more scheduling schemes according to the result of described semantic dissection process;
(c), send reserve requests to corresponding taxi client, and will receive that replying that described taxi client sends returns to described user according to described scheduling scheme.
7. described method for taxi dispatching based on instant messaging according to claim 6 is characterized in that, in the described step (a), the step that semantic dissection process is carried out in described user's request comprises:
(a1), call the computational language knowledge base and the sentence of described user input is carried out natural language resolve, described computational language knowledge base storage and semantic analytically dependent data comprise dictinary information, word frequency information, syntactic rule information and semantic rules information;
(a2), calling out the knowledge base of hiring a car according to described analysis result carries out reasoning to the sentence of described user input and handles, described taxi knowledge base has been stored and the relevant data of taxi reservation, comprises pricing information, geographical location information, the reservation Rule Information of taxi.
8. described method for taxi dispatching based on instant messaging according to claim 7 is characterized in that, further comprises before in the described step of execution (a2):
If the solicited message of user's input that described analysis result is represented is imperfect, then notify described user to import complete solicited message;
If the solicited message of user's input that described analysis result is represented is complete, then carry out described step (a2).
9. the method for taxi dispatching based on instant messaging according to claim 6 is characterized in that, described step (b) further comprises:
If the request that current described locating information and/or described carrying information do not satisfy described user, then write down described user's request and insert request queue, whether regular check has the request of satisfying described user, is satisfied or described user cancels this request until described user's request.
10. the method for taxi dispatching based on instant messaging according to claim 6 is characterized in that, described step (c) further comprises:
Judge the request of whether satisfying described user of replying that described taxi client returns;
If satisfy, then will ask to handle successful information and return to described user; Otherwise, will ask to handle unsuccessful information and return to described user, and write down described user's request simultaneously, described step (b) is carried out in circulation, cancels described request until described request processing success or user.
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| CN102164127A (en) * | 2011-03-21 | 2011-08-24 | 中兴通讯股份有限公司 | Reservation system and method based on internet of things |
| CN102682593B (en) * | 2012-05-04 | 2014-07-16 | 舒方硕 | Intelligent system and method for managing and scheduling taxis |
| CN106657171A (en) * | 2015-10-28 | 2017-05-10 | 南京精进同信息科技有限公司 | Information network platform system, and method of processing predetermined service request |
| CN105677635A (en) * | 2015-12-29 | 2016-06-15 | 聚熵信息技术（上海）有限公司 | Method, device and system for natural languages interaction |
| CN105760941A (en) * | 2016-02-17 | 2016-07-13 | 北京思博知网科技有限公司 | Method, apparatus and system for acquiring car booking and rental information |
| CN106792515A (en) * | 2016-11-30 | 2017-05-31 | 北京小米移动软件有限公司 | Obtain the method and device of vehicle reservation person's communication connection information |
| JP6904246B2 (en) * | 2017-12-27 | 2021-07-14 | トヨタ自動車株式会社 | Mobile system and control method of mobile system |
| JP7287333B2 (en) * | 2020-04-06 | 2023-06-06 | トヨタ自動車株式会社 | Control device, program, and information processing method |
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