CN108171385A - A kind of intelligent shared bicycle and public transport are most preferably gone on a journey the planing method of scheme - Google Patents
A kind of intelligent shared bicycle and public transport are most preferably gone on a journey the planing method of scheme Download PDFInfo
- Publication number
- CN108171385A CN108171385A CN201810024673.9A CN201810024673A CN108171385A CN 108171385 A CN108171385 A CN 108171385A CN 201810024673 A CN201810024673 A CN 201810024673A CN 108171385 A CN108171385 A CN 108171385A
- Authority
- CN
- China
- Prior art keywords
- trip
- scheme
- walking
- shared bicycle
- subway
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 14
- 230000009467 reduction Effects 0.000 abstract description 3
- 238000010276 construction Methods 0.000 abstract description 2
- 238000012546 transfer Methods 0.000 description 11
- 230000000694 effects Effects 0.000 description 5
- 238000003012 network analysis Methods 0.000 description 4
- 238000011835 investigation Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 240000007594 Oryza sativa Species 0.000 description 1
- 235000007164 Oryza sativa Nutrition 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 230000002860 competitive effect Effects 0.000 description 1
- 230000001351 cycling effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 235000009566 rice Nutrition 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000013517 stratification Methods 0.000 description 1
- 230000001550 time effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Navigation (AREA)
- Traffic Control Systems (AREA)
Abstract
A kind of planing method for scheme of most preferably going on a journey the invention discloses intelligent shared bicycle and public transport, is shared in mobile terminal using user and applies for that best trip scheme is recommended on bicycle App, application demand is sent out to system;After the receipt, user receives system in the destination of mobile terminal input trip, system, to the positioning analysis of the elements of a fix and trip purpose ground of user, provides a variety of trip schemes;The Trip Costs of each best traffic path of trip scheme are calculated further according to Trip Costs function;The Trip Costs of different trip schemes are carried out than choosing, using analyze obtain the trip scheme of Trip Costs minimum as scheme of most preferably going on a journey;The invention enables shared bicycles preferably to serve public transport, and the combination between the difference mode of transportation layer of city can be made even closer, be conducive to the reduction of Urban Traffic fault-layer-phenomenon, can preferably serve the construction of city virtual traffic platform on this basis.
Description
Technical field
The invention belongs to traffic programmes and intellectual technology applied technical field, and in particular to a kind of intelligent shared bicycle with
Public transport is most preferably gone on a journey the planing method of scheme.
Background technology
A fundamental state policy of the public traffic in priority as China, encounters the problem of various in practice process, wherein,
" transfer is difficult " is a main problem for hindering transit trip." transfer difficult " problem be mainly manifested in transfer time-consuming and
Poor two aspect of transfer convenience.
The appearance of shared bicycle advantageously accounts for urban transportation " last one kilometer " trip problem, greatly improves transfer
Convenient degree.Trip from bus and rail traffic website to this distance of the destination of trip origin is past
Lead to inconvenience toward due to the problems such as consuming duration, the degree of crowding, trip through property, walking take it is longer, it is private voluntarily
The economic security problem of vehicle, the lease solid point foregone conclusion of public bicycles is sex-limited all to cause trip inconvenient.Shared bicycle is because reachable
Property it is strong, the advantages that safety coefficient is high, and environmentally protective, use cost is low, and flexibility ratio is good, can be very good to alleviate this trip phenomenon,
It is greatly improved transfer convenient degree.
While on the one hand the appearance of shared bicycle improves transfer environment, on the other hand, also to a certain extent with public affairs
Traffic forms certain competitive relation, the especially competition in short-distance and medium-distance trip with regular public traffic altogether.It is in addition, shared single
Vehicle is there is also inefficient the phenomenon that utilizing and excessively abusing largely, and therefore, shared bicycle of how making rational planning for exists
How functional localization in urban transportation trip system makes shared bicycle preferably serve the development of public transport, how to allow
Shared bicycle should have analysis in mind, solve the problems such as going out to be now able to preferably to solve urban transportation stratification trip, collocation.
Invention content
A kind of planing method for scheme of most preferably going on a journey the invention discloses intelligent shared bicycle and public transport, pass through by
The mode of the organic assembling of trip and the transit trip of shared bicycle provides optimal trip scheme to traveler, so as to reach
Shared bicycle preferably serves public transport, and the combination between the difference mode of transportation layer of city can be made even closer, has
Conducive to the purpose of Urban Traffic fault-layer-phenomenon reduction, building for city virtual traffic platform can be preferably served on this basis
If.
To solve the above problems, technical solution provided by the invention is such:A kind of intelligent shared bicycle with it is public
Traffic is most preferably gone on a journey the planing method of scheme, is included the following steps:
A it) is shared using user in mobile terminal and applies for that best trip scheme is recommended on bicycle App, sending out application to system needs
It asks;
B) for system after the message using the best trip programme planning application of user is received, user is defeated in mobile terminal
Enter the destination of trip, system receives, and to the positioning analysis of the elements of a fix and trip purpose ground of user, provides a variety of trips
The best traffic path of scheme;
C) after the best traffic path for automatically analyzing a variety of trip schemes in system, according to Trip Costs and travel time,
Trip Costs function determined by travel cost and trip mode calculates the Trip Costs of each best traffic path of trip scheme;
D) system carries out the Trip Costs of different trip schemes the trip of Trip Costs minimum that than choosing, analysis is obtained
The best traffic path of scheme is as best trip scheme;
E) the best trip scheme that analysis obtains is sent on the mobile terminal App of user by system, is confessed and is exercised user
With reference to.
The present invention is further improved, step A) specifically include following steps:
(A1) user opens shared bicycle application software in mobile terminal, and system shows use according to user coordinate position
Bicycle aggregation place is shared in the range of 500 meters of family periphery, and pops up dialog box " whether using recommendation trip scheme ";
(A2) user's selection determines, trip programme planning application is proposed to system;
The present invention is further improved, step B) specifically include following steps:
B1) after the message using the trip programme planning application of user is received, pop-up dialog box " please input system
Your trip purpose ", it can be in the App of mobile terminal with directly inputting trip purpose using user, it also can be in the App of mobile terminal
With directly selecting specific trip purpose in map location in included map;
B2) system is after with receiving the trip purpose using user information, to the elements of a fix and the trip mesh of user
Ground positioning analysis, provide the best traffic path of 14 kinds of trip schemes, specifically include walking trip scheme, shared bicycle goes out
Row scheme, walking+regular public traffic combined travel scheme, shared bicycle+regular public traffic combined travel scheme, walking+subway combination
Trip scheme, shared bicycle+subway combined travel scheme, walking+regular public traffic+shared bicycle combined travel scheme, shared list
Vehicle+regular public traffic+walking combined travel scheme, walking+subway+shared bicycle combined travel scheme, shared bicycle+subway+step
Row combined travel scheme, walking+regular public traffic+subway combined travel scheme, shared bicycle+regular public traffic+subway combined travel
Scheme, walking+regular public traffic+subway+shared bicycle combined travel scheme and shared bicycle+regular public traffic+subway+walking group
Close the best traffic path of trip scheme.
Wherein, B2a) manner of walking trip scheme best traffic path be from trip origin to trip purpose ground
Most short Walking Route;
B2b) share bicycle trip scheme best traffic path be from trip origin to trip purpose ground most
Short bike riding route;
B2c) the best traffic path of walking+regular public traffic combined travel scheme is best Walking Route and best conventional public affairs
The combined route of cross-channel line;
Wherein, the best Walking Route is from trip origin to the nearest regular public traffic station in distance trip origin
Point most short Walking Route and separate out the nearest regular public traffic website in row destination to the most short pedestrian-way between trip purpose ground
The combination of line;Best regular public traffic route is nearest to row destination is separated out from the nearest regular public traffic website in row origin is separated out
Regular public traffic website between regular public traffic route;
B2d the best traffic path for) sharing bicycle+regular public traffic combined travel scheme is most preferably shared bicycle traffic path
With the combined route of best regular public traffic route;Wherein, most preferably shared bicycle traffic path should be from trip origin to separating out
The nearest regular public traffic website in row origin and the nearest regular public traffic website in row destination is separated out between trip purpose ground
The combination of most short bike riding route;Best regular public traffic route is from the nearest regular public traffic website in row origin is separated out to separating out
Regular public traffic route between the nearest regular public traffic website in row destination;
B2e) the best traffic path of walking+subway combined travel scheme is best Walking Route and best underground route
Combined route;Wherein, best walking trip route be from trip origin to separate out the nearest subway station in row origin and from
Trip purpose nearest subway station to the most short Walking Route between trip purpose ground combination;Best underground route be from
The nearest subway station in origin go on a journey to the underground route separated out between the nearest subway station in row destination;
B2f) share the best traffic path of bicycle+subway combined travel scheme for most preferably shared bicycle traffic path with most
The combined route of good underground route;Wherein, most preferably shared bicycle traffic path is from trip origin to separating out row origin most
Near subway station and the nearest subway station in row destination is separated out to the group of the most short bike riding route between trip purpose ground
It closes;Best underground route is the ground railway for separating out the nearest website in row origin and separating out between the nearest website in row destination
Line;
B2g) the best traffic path of walking+regular public traffic+shared bicycle combined travel scheme is best Walking Route, most
The combined route of good regular public traffic route and best shared bicycle route;
Wherein, best walking trip route is from trip origin to separating out the nearest regular public traffic website in row origin
Most short Walking Route;
Best regular public traffic route is nearest to row destination is separated out from the nearest regular public traffic website in row origin is separated out
Regular public traffic website between regular public traffic route;
Most preferably shared bicycle route is from the nearest regular public traffic website in row destination is separated out to trip purpose ground
Most short bike riding route.
B2h the best traffic path for) sharing bicycle+regular public traffic+walking combined travel scheme is most preferably shared bicycle road
The combined route of line, best regular public traffic route and best Walking Route;
Wherein, most preferably shared bicycle route is for from trip origin to separating out the nearest regular public traffic website in row origin
Most short bike riding route;
Best regular public traffic route is from the regular public traffic website nearest with distance trip origin to separating out row destination
Bus routes between nearest regular public traffic website;
Best Walking Route is most short between the nearest regular public traffic website in row destination and trip purpose ground from separating out
Walking Route.
B2i) the best traffic path of walking+subway+shared bicycle combined travel scheme is best Walking Route, most preferably
The combined route of railway line and best shared bicycle route;
Wherein, best Walking Route be go on a journey it is most short the nearest subway station in row origin from origin to separating out
Walking Route;
Best underground route is to separate out the nearest subway station in row origin to separating out the nearest subway station in row destination
Between underground route;
Best shared bicycle route is to separate out the nearest subway station in row destination to ride to most short between trip purpose ground
Bicycle route.
B2j the best traffic path for) sharing bicycle+subway+walking combined travel scheme is most preferably shared bicycle route, most
The combined route of good underground route and best Walking Route;
Wherein, most preferably shared bicycle route is from trip origin to the nearest subway station in distance trip origin
Minimal path;
Best underground route is the distance trip nearest subway station in origin and apart from trip purpose nearest ground
Underground route between iron website;
Best Walking Route is from the nearest subway station in row destination is separated out to the most short walking trip purpose ground
Route.
B2k) the best traffic path of walking+regular public traffic+subway combined travel scheme is best Walking Route, most preferably often
Advise the combined route of bus routes and best underground route;
Wherein, best Walking Route is from trip origin to separating out the nearest public transport in row origin or subway station
Most short Walking Route and with from the nearest public transport in row destination or subway station is separated out to the most short step trip purpose ground
The combination of walking along the street line;
Best regular public traffic route is nearest to row origin is separated out from the nearest regular public traffic website in row origin is separated out
Subway station between bus routes or separate out the nearest subway station in row destination to separating out the nearest routine in row destination
Bus routes between bus station;
Best underground route be separate out the nearest subway station in row origin to the subway station nearest apart from destination it
Between underground route;
B2l the best traffic path for) sharing bicycle+regular public traffic+subway combined travel scheme should be most preferably shared bicycle
The combined route of route, best regular public traffic route and best underground route;
Wherein, most preferably shared bicycle route is from trip origin to separating out the nearest public transport in row origin or subway station
Between most short bike riding route and from separate out the nearest public transport in row destination or subway station to trip purpose ground most
The combination of short bike riding route;
Best regular public traffic route is nearest to row origin is separated out from the nearest regular public traffic website in row origin is separated out
Subway station between bus routes or from the nearest subway station in row destination is separated out to separating out nearest normal in row destination
Advise the bus routes between bus station;
Best subway station is to separate out the nearest subway station in row origin to separating out the nearest subway station in row destination
Between underground route;
B2m) the best traffic path of walking+regular public traffic+subway+shared bicycle combined travel scheme is best pedestrian-way
The combined travel route of line, best regular public traffic route, best underground route and best shared bicycle route;
Wherein, best Walking Route is from trip origin to separating out the nearest regular public traffic in row origin or subway station
Between most short Walking Route;
Best regular public traffic route is nearest to row origin is separated out from the nearest regular public traffic website in row origin is separated out
Subway station between bus routes or from the nearest subway station in row destination is separated out to separating out nearest normal in row destination
Advise the bus routes between bus station;
Best underground route is to separate out the nearest subway station in row origin to separating out the nearest subway station in row destination
Between underground route;
Most preferably shared bicycle route be from the public transport nearest from destination or subway station to trip purpose ground most
Short bike riding route.
B2n the best traffic path for) sharing bicycle+regular public traffic+subway+walking combined travel scheme is best shared single
The combined travel route of bus or train route line, best regular public traffic route, best underground route and best Walking Route;
Wherein, most preferably shared bicycle route is from trip origin to separating out row origin nearest regular public traffic or subway
Most short cycling route between website;
Best regular public traffic route is nearest to row origin is separated out from the nearest regular public traffic website in row origin is separated out
Subway station between bus routes or from the nearest subway station in row destination is separated out to separating out nearest normal in row destination
Advise the bus routes between bus station;
Best underground route is to separate out the nearest subway station in row origin to separating out the nearest subway station in row destination
Between underground route;
Best Walking Route be from separate out the nearest public transport in row destination or subway station to trip purpose ground most
The combination of short Walking Route.
Wherein, the above-mentioned bus routes from a certain place to another place are (such as public from the nearest routine in row origin is separated out
Website is handed over to the bus routes for separating out the nearest regular public traffic website in row destination, from separating out the nearest regular public traffic in row origin
Website to the bus routes for separating out the nearest subway station in row origin or from separate out the nearest subway station in row destination to from
Trip purpose nearest regular public traffic website bus routes) determined with reference to existing optimization method, i.e. public transport impedance is big
It is small to determine:
Public transport impedance function index includes three time, expense and convenience fingers that passenger goes on a journey on public traffic line road
Mark, public transport impedance value are determined by following formula:
Ri=k1Xi+k2Yi+k3Zi
In formula, Ri is regular public traffic impedance value, and dimension is chronomere;Xi is time impedance, refers to passenger and disappears outside in the car
The time of consumption, including the normally travel time on section, intersection delay time and transfer take;Yi is cost impedance;Zi is the heart
Impedance is managed, refers mainly to the degree of tolerance of the passenger to walking transfer, number of transfer, the degree of crowding etc..K1, k2, k3 are parameters, wherein
K2 dimensions are min/yuan, and time impedance is calculated by following formula:
Xi=ωnTni+ωm∑Tmi+ωv∑Tvi+ωw∑Twi
In formula, Tni is the inception point stand-by period;∑TmiBe each section time impedance value and, including bus in section
Running time and intersection delay time;∑TviBe public transport institute through the sum of each website time impedance;∑TwiEach secondary transfer time resistance
The sum of resist;ω is time weighting.
The present invention is further improved, step C) in, system is to the Trip Costs to the different best traffic paths of trip scheme
Before being calculated, user's trip distance is judged, if the trip distance of user is averaged maximum acceptable walking less than the public
Apart from when, system only need to walking or shared bicycle trip the best traffic path of scheme cost of going out calculate;If with
The trip distance at family is averaged maximum acceptable walking distance more than the public, is averaged maximum acceptable bike riding distance less than the public,
System need to only calculate the cost of going out for sharing the best traffic path of bicycle;If the trip distance of user is averaged more than the public
Maximum acceptable bike riding distance, system is to other trip schemes other than walking trip scheme and shared bicycle trip scheme
The Trip Costs of best traffic path are calculated.
For example, it is assumed that the public is averaged, maximum acceptable walking distance is Akm, then when the trip distance that network analysis obtains
During less than A km, generally walking trip or shared bicycle can be used to go on a journey, system need to only go out walking or shared bicycle at this time
The cost of going out of row scheme is calculated, and is saved the time for calculating other trip schemes, is greatly improved network analysis efficiency.With this
It is similar, it is assumed that the average maximum acceptable bike riding distance of the public is B km, when the trip distance that network analysis obtains is more than A km,
During less than Bkm, the cost that system need to only share bicycle trip scheme is calculated;When trip distance is more than Bkm, system is saved
Calculating to simple walking trip and simple shared bicycle trip, the Trip Costs for only calculating other trip schemes are calculated just
It can.
The Trip Costs function is
Wherein, CostiI-th kind of trip scheme is represented, m represents m kind trip modes, j in scheme i and represents Trip Costs
Influence factor attribute, AmjIt is the corresponding influence system of jth kind trip influence factor of m kind trip modes in i-th kind of trip scheme
Number, xmjIt is the corresponding factor value of jth kind trip attribute of the m kind trip modes in i-th kind of trip scheme.
Wherein, Amj、And xmjIt is obtained by traffic trip investigation a wide range of to resident, peak period and off-peak period correspond to
Amj、And xmjValue is different.
CostiI-th kind of trip scheme is represented, wherein, set i=1, Cost1Represent walking trip scheme, Cost2It represents altogether
Enjoy bicycle trip scheme, Cost3Represent walking+regular public traffic combined travel scheme, Cost4Represent shared bicycle+regular public traffic group
Close trip scheme, Cost5Represent walking+subway combined travel scheme, Cost6Represent shared bicycle+subway combined travel scheme,
Cost7Represent walking+regular public traffic+shared bicycle combined travel scheme, Cost8Represent shared bicycle+regular public traffic+walking group
Close trip scheme, Cost9Represent walking+subway+shared bicycle combined travel scheme, Cost10Represent shared bicycle+subway+step
Row combined travel scheme, Cost11Represent walking+regular public traffic+subway combined travel scheme, Cost12The shared bicycle of expression+often
Advise public transport+subway combined travel scheme, Cost13Represent walking+regular public traffic+subway+shared bicycle combined travel scheme,
Cost14Represent shared bicycle+regular public traffic+subway+walking combined travel scheme.
M represents m kind trip modes in scheme i, wherein, m=1 is set, represents walking trip, m=2 represents shared single
Vehicle is gone on a journey, m=3, represents regular public traffic trip, and m=4 represents subway trip;
J represents the influence factor of Trip Costs, wherein, set j=1, there is shown row spends the time, j=2, there is shown
Row expense, j=3 represent trip mode;
Then the cost accounting function of walking scheme is
Cost1=A11x11+A13x13
The cost accounting function of shared bicycle trip scheme is
Cost2=A21x21+A22x22+A23x23
The cost accounting function of shared bicycle trip scheme is
Cost2=A21x21+A22x22+A23x23
The cost accounting function of walking+regular public traffic combined travel scheme is
Cost3=A11x11+A13x13+A31x31+A32x32+A33x33
The cost accounting function of shared bicycle+regular public traffic combined travel scheme is
Cost4=A21x21+A22x22+A23x23+A31x31+A32x32+A33x33
The cost accounting function of walking+subway combined travel scheme is:
Cost5=A11x11+A13x13+A41x41+A42x42+A43x43
The cost accounting function of shared bicycle+subway combined travel scheme is:
Cost6=A21x21+A22x22+A23x23+A41x41+A42x42+A43x43
The cost accounting function of walking+regular public traffic+shared bicycle combined travel scheme:
Cost7=A11x11+A13x13+A31x31+A32x32+A33x33+A21x21+A22x22+A23x23
Shared bicycle+regular public traffic+walking combined travel scheme cost accounting function
Cost8=A21x21+A22x22+A23x23+A31x31+A32x32+A33x33+A11x11+A13x13
Walking+subway+shared bicycle combined travel scheme cost accounting function
Cost9=A11x11+A13x13+A41x41+A42x42+A43x43+A21x21+A22x22+A23x23
Shared bicycle+subway+walking combined travel scheme cost accounting function
Cost10=A21x21+A22x22+A23x23+A41x41+A42x42+A43x43+A11x11+A13x13
Walking+regular public traffic+subway combined travel scheme cost accounting function
Cost11=A11x11+A13x13+A31x31+A32x32+A33x33+A41x41+A42x42+A43x43
Shared bicycle+regular public traffic+subway combined travel scheme cost accounting function
Cost12=A21x21+A22x22+A23x23+A31x31+A32x32+A33x33+A41x41+A42x42+A43x43
Walking+regular public traffic+subway+shared bicycle combined travel scheme cost accounting function
Cost13=A11x11+A13x13+A31x31+A32x32+A33x33+A41x41+A42x42+A43x43+A21x21+A22x22+A23x23
Shared bicycle+regular public traffic+subway+walking combined travel scheme cost accounting function
Cost14=A21x21+A22x22+A23x23+A31x31+A32x32+A33x33+A41x41+A42x42+A43x43+A11x11+A13x13
In above-mentioned cost accounting function, A11Time effects coefficient, x are spent for walking trip11When being spent for walking trip
Between;A13Coefficient, x are influenced for walking trip mode13For walking trip, value 1;Because walking trip does not generate travel cost, because
This travel cost cost is ignored, i.e. A12=0, therefore A12x12It does not show in function is calculated.
A21Time effects coefficient, x are spent by shared bicycle trip21The time is spent by shared bicycle trip;A22It is common
Enjoying the travel cost of bicycle trip influences coefficient, x22To share the travel cost of bicycle trip;A23To share the shadow of bicycle trip
Ring coefficient, x23For shared bicycle trip, value 1;
A31Time effects coefficient, x are spent by bus trip31Time is spent by bus trip;A32For bus trip
Travel cost influences coefficient, x32Travel cost for bus trip;A33For the influence coefficient of bus trip, x33For bus trip,
Value is 1;
A41It is gone on a journey by subway and spends time effects coefficient, x41It is gone on a journey by subway and spends the time;A42For subway trip
Travel cost influences coefficient, x42Travel cost for subway trip;A43For the influence coefficient of subway trip, x43It goes on a journey for subway,
Value is 1;
When Trip Costs are calculated, AmjAnd xmjValue, according to city resident a wide range of traffic trip investigation obtain, wherein, root
According to the difference (being divided into the trip of peak period time and off-peak hours trip) of travel time, AmjAnd xmjValue is different.
The present invention is further improved, and step (E) specifically includes following steps::
(E1) using traveler using the best trip scheme recommended, mobile terminal is started based on included GPS system to go out
Passerby navigates, until traveler arrives at, best scheme navigation solution system of going on a journey is automatically closed;
(E2) it is abandoned using traveler using the best trip scheme recommended, best scheme navigation travel system of going on a journey closes
It closes.
Advantageous effect:It is carried by way of by the organic assembling of the trip of shared bicycle and transit trip to traveler
For optimal trip scheme, it so as to achieve the purpose that shared bicycle preferably serves public transport, and can hand over city difference
Combination between logical mode layer is even closer, is conducive to the purpose of Urban Traffic fault-layer-phenomenon reduction, on this basis can be more
The good construction for serving city virtual traffic platform.
Description of the drawings
Fig. 1 is flow chart of the present invention;
Fig. 2 analyzes ratio for different trip scheme Trip Costs and selects flow chart;
Fig. 3 is the planning chart of case one;
Fig. 4 is the planning chart of case two.
Specific embodiment
With reference to the accompanying drawings and detailed description, the present invention is furture elucidated.
【Example】It is known to be learnt by analyzing the investigation of certain city resident a wide range of traffic trip and trip psychology, city resident
Maximum acceptable walking distance for 1.5km, the average maximum acceptable distance that cycles of the public is 3.5km;
The go on a journey influence coefficient of the time it takes of different trip modes is respectively:Walking:A11=6.5/ (10min), altogether
Enjoy bicycle:A21=3/ (10min), regular public traffic:A31=1.2/ (10min), subway:A41=1.0/ (10min);
The average overall trip speed of different trip modes trip is respectively:Peak period:Walking V1=3.5km/h shares single
Vehicle V2=7km/h, regular public traffic V3=18km/h, subway V4=35km/h;Off-peak period:Walking V1=3.5km/h shares
Bicycle V2=8km/h, regular public traffic V3=28km/h, subway V4=35km/h;
The trip cost of different trip mode trips influences coefficient and is respectively:Peak period:Walking A21=0, share bicycle
A22=4, regular public traffic A32=1.2, subway A42=1;Off-peak hours section, walking A21=0, share bicycle A22=3, public transport A32
=1.8, subway A42=1.5.
The trip of different trip mode trips, which is spent, is respectively:Shared bicycle is averaged cost of use as 0.5 yuan of per person, i.e.,
x22=0.5,1 yuan of per person of regular public traffic average price, i.e. x32=0.5, subway average price is 2 yuan in 0-3km, 3 yuan in 3-5km, 5-
4 yuan in 10km, the part beyond 10km but less than 15km, 5 yuan, beyond 6 yuan of the part of 15km;Take the subway in 0-3km,
x42=0.5, take the subway the x in 3-5km42=3, it takes the subway in 5-10km, x42=4, it takes the subway in 10-15, x42=
0.5;
The influence coefficient of different trip modes is respectively peak period:Walking A13=2, share bicycle A23=2.5, it is conventional
Public transport A33=5, subway A34=2.5;Off-peak period:Walking A13=1.5, share bicycle A23=1.5, regular public traffic A23=3,
Subway A23=2.5;
With reference to concrete case once optimal trip scheme is carried out using the shared bicycle software built-in system based on GPS navigation
Planning is recommended.
(1) where starting point location and destination that traveler known to is obtained using GPS software built in shared bicycle
In mobile terminal App as shown in Figure 3, the analytic process of built-in system is analyzed in examination, and determines optimal trip scheme in geographical location.
According to GPS navigation, the shortest distance from trip origin to trip purpose ground is 1.2km, less than the city civic
Maximum walking psychological distance 1.5km, therefore system default is using walking or shared bicycle trip mode, and ignore other modes and
The scheme of Combined mode.
System individually analyzes the Trip Costs of walking and shared bicycle, because walking and the trip of shared bicycle have spirit
Activity without being travelled according to route, therefore can be travelled directly along minimal path, i.e., shortest path is walking
The best traffic path gone on a journey with shared bicycle, therefore the two trip distance is 1.2km.
(a) if the travel time is peak period
For walking trip, time x is spent11For:
Then walking trip cost is:
For shared bicycle trip, time x is spent21For:
Then sharing bicycle Trip Costs is:
Therefore, Cost2Less than Cost1, i.e., the Trip Costs of shared bicycle are less than walking trip cost, therefore system is to making
User recommends the trip scheme of shared bicycle.
(b) if the travel time is off-peak period
For walking trip, time x is spent11For:
Then walking trip cost is:
For shared bicycle trip, time x is spent21For:
Then sharing bicycle Trip Costs is:
Therefore, Cost2Less than Cost1, i.e., the Trip Costs of shared bicycle are less than walking trip cost, therefore system is to making
User recommends the trip scheme of shared bicycle.
(2) traveler known in the morning 8:Gone out when 30 (i.e. peak period) using what GPS software built in shared bicycle obtained
Hair point location and destination geographic location in the App of mobile terminal as shown in Figure 4, examination analysis built-in system analysis
Process, and determine optimal trip scheme.
According to GPS navigation, the shortest distance from trip origin to trip purpose ground is 2.8km, more than walking trip
Best psychological distance 1.5km, therefore do not consider walking trip, it is 438m to separate out the nearest regular public traffic website distance of beginning-of-line,
Closest subway station be 1.2km, wherein, regular public traffic traffic path length be 2.2km, subway traffic path length 906
Rice, subway terminal station is apart from travel destination 630m, and regular public traffic terminal station 540m, then network analysis is as follows:
(a) only shared bicycle trip:
At this point, using only the trip of shared bicycle, the time is spent to be:
Then the Trip Costs of the program are:
(b) walking+regular public traffic:
At this point, it is using the program trip cost time:
x3=x11+x31
Wherein, x11The time is spent for walking, x31It is that regular public traffic trip spends the time:
x11=x11a+x11b
Wherein, x11aIt is the time spent from initial point to nearest regular public traffic website, x11bIt is that regular public traffic terminus is arrived
It sets out the time that destination is spent.
x11=9.24+7.5=16.74min
Then, the Trip Costs of the program are:
(c) bicycle+regular public traffic is shared:
At this point, go on a journey using the program, the time is spent to be:
x4=x21+x31
Wherein, x21The time is spent for shared bicycle, x31It is that regular public traffic trip spends the time:
x21=x21a+x21b
Wherein, x21aIt is the cost time from initial point to nearest regular public traffic website, x21bIt is that regular public traffic terminus is arrived
It sets out cost time of destination.
x21=3.78+4.62=8.4min
Then, the Trip Costs of the program are:
(d) walking+subway
At this point, go on a journey using the program, the time is spent to be:
x5=x11+x41
Wherein, x11The time is spent for walking, x41It is that subway trip spends the time:
Then, the Trip Costs of the program are:
(e) bicycle+subway is shared
At this point, go on a journey using the program, the time is spent to be:
x6=x21+x41
Wherein, x21The time is spent for shared bicycle:
x41It is that subway trip spends the time, as hereinbefore:
Then, the Trip Costs of the program are:
(f) walking+regular public traffic+shared bicycle
x7=x11+x31+x21
Wherein, x11It is that walking spends the time, x31It is that regular public traffic spends the time, x21The time is spent for shared bicycle.
Similarly, the Trip Costs for calculating the program are
(g) bicycle+regular public traffic+walking is shared
Similarly, the Trip Costs for calculating the program are
(h) walking+subway+shared bicycle
The Trip Costs of the program are
(i) bicycle+subway+walking is shared
The Trip Costs of the program are
Then the cost of all trip schemes is as shown in table 1:
The different trip scheme Trip Costs of table 1 compare
To sum up, the cost minimization of whole shared bicycle trip pattern, therefore, system recommends this trip scheme to user.
It should be pointed out that above-mentioned case is only intended to clearly illustrate example, it is not intended to limit the embodiments.It is right
For those of ordinary skill in the art, other various forms of variations or change can also be made on the basis of the above description
It is dynamic.There is no necessity and possibility to exhaust all the enbodiments.And the obvious variation or change thus extended out
Among moving still in the protection domain of the invention.
Claims (4)
- The planing method of scheme 1. a kind of intelligent shared bicycle and public transport are most preferably gone on a journey, which is characterized in that including following Step:A it) is shared using user in mobile terminal and applies for that best trip scheme is recommended on bicycle App, application demand is sent out to system;B) after the message using the best trip programme planning application of user is received, user inputs out system in mobile terminal Capable destination, system receive, and to the positioning analysis of the elements of a fix and trip purpose ground of user, provide a variety of trip schemes Best traffic path;C) after the best traffic path for automatically analyzing a variety of trip schemes in system, according to Trip Costs and travel time, trip Trip Costs function determined by expense and trip mode calculates the Trip Costs of each best traffic path of trip scheme;D) system carries out the Trip Costs of different trip schemes the trip scheme of Trip Costs minimum that than choosing, analysis is obtained Best traffic path as best trip scheme;E) the best trip scheme that analysis obtains is sent on the mobile terminal App of user by system, is confessed and is exercised user's reference.
- The planing method of scheme 2. a kind of intelligent shared bicycle according to claim 1 and public transport are most preferably gone on a journey, It is characterized in that, step B) in trip scheme include 14 kinds of trip schemes, respectively walking trip scheme, shared bicycle trip side Case, walking+regular public traffic combined travel scheme, shared bicycle+regular public traffic combined travel scheme, walking+subway combined travel Scheme, shared bicycle+subway combined travel scheme, walking+regular public traffic+shared bicycle combined travel scheme, shared bicycle+normal Advise public transport+walking combined travel scheme, walking+subway+shared bicycle combined travel scheme, shared bicycle+subway+walking combination Trip scheme, walking+regular public traffic+subway combined travel scheme, shared bicycle+regular public traffic+subway combined travel scheme, step Row+regular public traffic+subway+shared bicycle combined travel scheme and shared bicycle+regular public traffic+subway+walking combined travel The best traffic path of scheme.
- The planing method of scheme 3. a kind of intelligent shared bicycle according to claim 1 and public transport are most preferably gone on a journey, It is characterized in that, step C) in, before system calculates the Trip Costs to the different best traffic paths of trip scheme, to Family trip distance judged, if the trip distance of user less than the public be averaged maximum acceptable walking distance when, system only needs The cost of going out of walking or the shared bicycle trip best traffic path of scheme is calculated;If the trip distance of user is more than The public is averaged maximum acceptable walking distance, is averaged maximum acceptable bike riding distance less than the public, system only need to be to shared single The cost of going out of the best traffic path of vehicle is calculated;If the trip distance of user is averaged maximum acceptable bike riding more than the public Distance, system go out the best traffic path of other trip schemes other than walking trip scheme and shared bicycle trip scheme Row cost is calculated.
- The planing method of scheme 4. a kind of intelligent shared bicycle according to claim 1 and public transport are most preferably gone on a journey, It is characterized in that, the Trip Costs function isWherein, CostiI-th kind of trip scheme is represented, m represents m kind trip modes in scheme i, and j represents the influence of Trip Costs Factor attribute, AmjIt is the corresponding influence coefficient of jth kind trip attribute of m kind trip modes in i-th kind of trip scheme, xmjIt is The corresponding influence factor numerical value of jth kind trip attribute of m kind trip modes in i-th kind of trip scheme.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810024673.9A CN108171385A (en) | 2018-01-10 | 2018-01-10 | A kind of intelligent shared bicycle and public transport are most preferably gone on a journey the planing method of scheme |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810024673.9A CN108171385A (en) | 2018-01-10 | 2018-01-10 | A kind of intelligent shared bicycle and public transport are most preferably gone on a journey the planing method of scheme |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108171385A true CN108171385A (en) | 2018-06-15 |
Family
ID=62518107
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810024673.9A Pending CN108171385A (en) | 2018-01-10 | 2018-01-10 | A kind of intelligent shared bicycle and public transport are most preferably gone on a journey the planing method of scheme |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108171385A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109612488A (en) * | 2018-12-26 | 2019-04-12 | 东北大学 | Mixing trip mode path planning system and method based on big data micro services |
CN109855644A (en) * | 2019-03-12 | 2019-06-07 | 东莞市美誉信息科技有限公司 | Shared vehicle information guidance method and system based on downtown streets intelligence media |
CN113551683A (en) * | 2021-07-21 | 2021-10-26 | 上海连尚网络科技有限公司 | Method, apparatus, medium, and program product for generating route information |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104864879A (en) * | 2014-02-25 | 2015-08-26 | 高德软件有限公司 | Navigation path planning method and device |
CN105021185A (en) * | 2015-07-15 | 2015-11-04 | 上海市政工程设计研究总院(集团)有限公司 | Navigation method and system |
CN106949899A (en) * | 2017-03-15 | 2017-07-14 | 上海理工大学 | A kind of bicycle transfer public transport combined type Route Generation device and route generation method |
-
2018
- 2018-01-10 CN CN201810024673.9A patent/CN108171385A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104864879A (en) * | 2014-02-25 | 2015-08-26 | 高德软件有限公司 | Navigation path planning method and device |
CN105021185A (en) * | 2015-07-15 | 2015-11-04 | 上海市政工程设计研究总院(集团)有限公司 | Navigation method and system |
CN106949899A (en) * | 2017-03-15 | 2017-07-14 | 上海理工大学 | A kind of bicycle transfer public transport combined type Route Generation device and route generation method |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109612488A (en) * | 2018-12-26 | 2019-04-12 | 东北大学 | Mixing trip mode path planning system and method based on big data micro services |
CN109612488B (en) * | 2018-12-26 | 2022-09-20 | 东北大学 | Big data micro-service-based mixed travel mode path planning system and method |
CN109855644A (en) * | 2019-03-12 | 2019-06-07 | 东莞市美誉信息科技有限公司 | Shared vehicle information guidance method and system based on downtown streets intelligence media |
CN113551683A (en) * | 2021-07-21 | 2021-10-26 | 上海连尚网络科技有限公司 | Method, apparatus, medium, and program product for generating route information |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20170213273A1 (en) | Customer-centered transportation aggregator | |
CN105865472B (en) | A kind of navigation method based on optimum oil consumption | |
CN109190813B (en) | Shared bicycle region putting planning method based on double-layer planning | |
CN105303817B (en) | A kind of method and device for planning of trip mode | |
CN104881710B (en) | A kind of city express delivery allocator based on car self-organization network | |
CN102384752B (en) | Route-determination method | |
CN102837697B (en) | A kind of electronlmobil course continuation mileage management system and method for work | |
CN107101643B (en) | A kind of share-car matching process | |
CN105844362B (en) | Urban traffic comprehensive trip decision-making device | |
CN105679009B (en) | A kind of call a taxi/order POI commending systems and method excavated based on GPS data from taxi | |
CN105427605B (en) | A kind of public transportation lane considering travel mode transfer arranges Benefit Calculation | |
CN105702035B (en) | A kind of method for complexity of being ridden using history public transport data assessment | |
CN103985247A (en) | Taxi transport capacity scheduling system based on city taxi calling demand distribution density | |
CN106297280A (en) | A kind of information processing method and device | |
CN108171385A (en) | A kind of intelligent shared bicycle and public transport are most preferably gone on a journey the planing method of scheme | |
CN109598372A (en) | Travel plan planing method and shared traffic system based on the shared traffic of green | |
CN110210749B (en) | Method for determining throwing amount and throwing position of linked and shared track stations | |
CN106979788A (en) | The paths planning method and navigation equipment of a kind of electric energy vehicle | |
CN106960406A (en) | A kind of bus service coverage rate computational methods for considering resident trip OD | |
CN106997682A (en) | A kind of intelligent parking system based on dynamic traffic | |
CN108665140A (en) | A kind of inter-city passenger rail Passenger Transport Hub traffic connection System Assessment Method | |
CN104318081A (en) | Method for allocating bicycles at public bicycle rental stations with urgent demand in city | |
CN106294869A (en) | A kind of public traffic network modeling method with public bicycles subnet based on spatial network | |
Hu et al. | A model layout region optimization for feeder buses of rail transit | |
CN105160429A (en) | Multi-mode public transportation transfer method with virtual transfer micro-hubs |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180615 |