CN112419704A - Public transport route planning method and system based on big data - Google Patents
Public transport route planning method and system based on big data Download PDFInfo
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- CN112419704A CN112419704A CN202011231350.0A CN202011231350A CN112419704A CN 112419704 A CN112419704 A CN 112419704A CN 202011231350 A CN202011231350 A CN 202011231350A CN 112419704 A CN112419704 A CN 112419704A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
Abstract
The invention discloses a public transport route planning method and a public transport route planning system based on big data, relating to a public transport route planning method and belonging to the technical field of route optimization; through the mutual cooperation of the travel time calculation module, the vehicle benefit calculation module, the data acquisition module, the route planning module, the route adjustment module and the data storage module, the total travel time X of passengers and the operation investment Y of a public transport enterprise are calculated firstly, then the bus route optimization index Z is calculated through a calculation formula, the bus route optimization index threshold is set, when the bus route optimization index Z is out of the range of the bus route optimization index threshold, a route adjustment instruction is sent to the route adjustment module, and the route adjustment module performs route adjustment.
Description
Technical Field
The invention relates to a public transport route planning method, in particular to a public transport route planning method and a public transport route planning system based on big data, and belongs to the technical field of route optimization.
Background
In recent years, with the rapid development of social economy, the continuous expansion of the scale of small cities and the increase of the quantity of automobiles kept in cities, the urban traffic congestion phenomenon becomes more and more serious, and the future sustainable development of cities is seriously influenced. The most fundamental method for solving the problem of urban traffic jam is to preferentially develop public traffic, realize efficient and full utilization of road public resources by vigorously developing the public traffic, and finally optimize the urban traffic structure.
Urban traffic problems also emerge gradually, such as: traffic safety accidents and traffic congestion problems become more serious, and social environment pollution also becomes more serious. The rapid development of cities not only causes a lot of influence on the quality of life of urban residents, but also hinders the further development of cities, so that the problem of urban traffic jam is more and more emphasized. In recent years, the urban economy has been developed more and more rapidly, but the level of urban development cannot keep pace with the economic development, and the public transportation development at the present stage is far from meeting the economic development requirement of small cities.
In order to solve the above technical problems, the present invention provides the following technical solutions.
Disclosure of Invention
The invention aims to provide a public transport route planning method and a public transport route planning system based on big data, which are used for solving the problem of the existing urban traffic jam. Through the mutual cooperation among the travel time calculation module, the vehicle benefit calculation module, the data acquisition module, the route planning module, the route adjustment module and the data storage module, the bus route optimization index Z is calculated, a bus route optimization index threshold value is set, when the bus route optimization index Z is out of the range of the bus route optimization index threshold value, a route adjustment instruction is sent to the route adjustment module, and the route adjustment module performs route adjustment.
The purpose of the invention can be realized by the following technical scheme:
a public transport route planning system based on big data comprises a travel time calculation module, a vehicle benefit calculation module, a data acquisition module, a route planning module, a route adjustment module and a data storage module;
the route planning module is used for planning the bus route, and the specific planning mode is as follows:
the method comprises the following steps: the method comprises the steps that a route planning module obtains total travel time X of passengers and operation investment Y of a public transport enterprise;
step two: calculating a bus route optimization index Z by using a calculation formula; the calculation formula is as follows: z ═ μ X + υ Y; wherein mu and upsilon are correction coefficients;
step three: the route planning module sets a bus route optimization index threshold value, and when the bus route optimization index Z is out of the range of the bus route optimization index threshold value, a route adjusting instruction is sent to the route adjusting module.
Preferably, the travel time calculating module is configured to calculate the travel time of the passenger, and the specific calculating process includes the following steps:
step A1: the method comprises the steps that the bus passenger flow from a traffic cell i to a traffic cell j is obtained through a data acquisition module, the bus travel time from the traffic cell i to the traffic cell j is obtained, and the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j are sent to a travel time calculation module; 1, …, n; j is 1, …, n; n represents the number of traffic cells;
step A2: the travel time calculation module marks the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j as Qij and Tij respectively;
step A3: the total travel time X of the passengers is calculated by using a calculation formula,
is calculated by the formula
And the total travel time X of the passengers is sent to a route planning module and a data storage module.
Preferably, the vehicle benefit calculation module is used for calculating the investment of the operation of the public transportation enterprise, and the specific calculation process comprises the following steps:
step B1: acquiring and collecting the number of departure of the kth bus line per hour through a data acquisition module, and acquiring the length of the kth bus line; sending the number of departure of the kth bus line per hour and the length of the kth bus line to a vehicle benefit calculation module, wherein k is 1, …, s; s represents the number of bus routes;
step B2: the vehicle benefit calculation module marks the departure number of the kth bus line per hour and the length of the kth bus line as Nk and Lk respectively;
step B3: calculating the operation investment Y of the public transport enterprise by using a calculation formula,
is calculated by the formula
And the operation investment Y of the public transport enterprise is sent to the line planning module and the data storage module.
Preferably, the travel time only takes into account the time taken by the passenger.
Preferably, the route adjusting module is used for adjusting the bus route when the bus route optimization index Z is out of the bus route optimization index threshold range.
A public transport route planning method based on big data specifically comprises the following steps:
step S1: the method comprises the steps that the bus passenger flow from a traffic cell i to a traffic cell j is obtained through a data acquisition module, the bus travel time from the traffic cell i to the traffic cell j is obtained, and the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j are sent to a travel time calculation module; 1, …, n; j is 1, …, n; n represents the number of traffic cells;
step S2: the travel time calculation module marks the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j as Qij and Tij respectively;
step S3: the total travel time X of the passengers is calculated by using a calculation formula,
is calculated by the formula
The total travel time X of the passengers is sent to a route planning module and a data storage module;
step S4: acquiring and collecting the number of departure of the kth bus line per hour through a data acquisition module, and acquiring the length of the kth bus line; sending the number of departure of the kth bus line per hour and the length of the kth bus line to a vehicle benefit calculation module, wherein k is 1, …, s; s represents the number of bus routes;
step S5: the vehicle benefit calculation module marks the departure number of the kth bus line per hour and the length of the kth bus line as Nk and Lk respectively;
step S6: calculating the operation investment Y of the public transport enterprise by using a calculation formula
The operation investment Y of the public transport enterprise is sent to a line planning module and a data storage module;
step S7: the method comprises the steps that a route planning module obtains total travel time X of passengers and operation investment Y of a public transport enterprise;
step S8: calculating a bus route optimization index Z by using a calculation formula; the calculation formula is as follows: z ═ μ X + υ Y; wherein mu and upsilon are correction coefficients;
step S9: the route planning module sets a bus route optimization index threshold value, and when the bus route optimization index Z is out of the range of the bus route optimization index threshold value, a route adjusting instruction is sent to the route adjusting module.
Compared with the prior art, the invention has the beneficial effects that:
1. the method comprises the steps that the bus passenger flow from a traffic cell i to a traffic cell j is obtained through a data acquisition module, the bus travel time from the traffic cell i to the traffic cell j is obtained, and the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j are sent to a travel time calculation module; the travel time calculation module marks the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j as Qij and Tij respectively; by usingThe total travel time X of the passengers is calculated by a calculation formula
And the total travel time X of the passengers is sent to a route planning module and a data storage module.
2. Acquiring and collecting the number of departure of the kth bus line per hour through a data acquisition module, and acquiring the length of the kth bus line; the vehicle benefit calculation module marks the departure number of the kth bus line per hour and the length of the kth bus line as Nk and Lk respectively; step B3: calculating the operation investment Y of the public transport enterprise by using a calculation formula
And the operation investment Y of the public transport enterprise is sent to the line planning module and the data storage module.
3. The method comprises the steps that a route planning module obtains total travel time X of passengers and operation investment Y of a public transport enterprise; calculating a bus route optimization index Z by using a calculation formula; the calculation formula is as follows: z ═ μ X + υ Y; wherein mu and upsilon are correction coefficients; the route planning module sets a bus route optimization index threshold, and when the bus route optimization index Z is out of the range of the bus route optimization index threshold, a route adjusting instruction is sent to the route adjusting module, and the route adjusting module adjusts the route.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a public transportation route planning system based on big data includes a travel time calculation module, a vehicle benefit calculation module, a data acquisition module, a route planning module, a route adjustment module, and a data storage module;
the route planning module is used for planning the bus route, and the specific planning mode is as follows:
the method comprises the following steps: the method comprises the steps that a route planning module obtains total travel time X of passengers and operation investment Y of a public transport enterprise;
step two: calculating a bus route optimization index Z by using a calculation formula; the calculation formula is as follows: z ═ μ X + υ Y; wherein mu and upsilon are correction coefficients;
step three: the route planning module sets a bus route optimization index threshold value, and when the bus route optimization index Z is out of the range of the bus route optimization index threshold value, a route adjusting instruction is sent to the route adjusting module.
The travel time calculation module is used for calculating travel time of passengers, and the specific calculation process comprises the following steps:
step A1: the method comprises the steps that the bus passenger flow from a traffic cell i to a traffic cell j is obtained through a data acquisition module, the bus travel time from the traffic cell i to the traffic cell j is obtained, and the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j are sent to a travel time calculation module; 1, …, n; j is 1, …, n; n represents the number of traffic cells;
step A2: the travel time calculation module marks the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j as Qij and Tij respectively;
step A3: the total travel time X of the passengers is calculated by using a calculation formula,
is calculated by the formula
And the total travel time X of the passengers is sent to a route planning module and a data storage module.
The vehicle benefit calculation module is used for calculating the investment of the operation of the public transport enterprise, and the specific calculation process comprises the following steps:
step B1: acquiring and collecting the number of departure of the kth bus line per hour through a data acquisition module, and acquiring the length of the kth bus line; sending the number of departure of the kth bus line per hour and the length of the kth bus line to a vehicle benefit calculation module, wherein k is 1, …, s; s represents the number of bus routes;
step B2: the vehicle benefit calculation module marks the departure number of the kth bus line per hour and the length of the kth bus line as Nk and Lk respectively;
step B3: calculating the operation investment Y of the public transport enterprise by using a calculation formula,
is calculated by the formula
And the operation investment Y of the public transport enterprise is sent to the line planning module and the data storage module.
Wherein, the travel time only considers the time of passenger taking the bus.
The route adjusting module is used for adjusting the bus route when the bus route optimization index Z is out of the range of the bus route optimization index threshold.
A public transport route planning method based on big data specifically comprises the following steps:
step S1: the method comprises the steps that the bus passenger flow from a traffic cell i to a traffic cell j is obtained through a data acquisition module, the bus travel time from the traffic cell i to the traffic cell j is obtained, and the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j are sent to a travel time calculation module; 1, …, n; j is 1, …, n; n represents the number of traffic cells;
step S2: the travel time calculation module marks the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j as Qij and Tij respectively;
step S3: the total travel time X of the passengers is calculated by using a calculation formula,
is calculated by the formula
The total travel time X of the passengers is sent to a route planning module and a data storage module;
step S4: acquiring and collecting the number of departure of the kth bus line per hour through a data acquisition module, and acquiring the length of the kth bus line; sending the number of departure of the kth bus line per hour and the length of the kth bus line to a vehicle benefit calculation module, wherein k is 1, …, s; s represents the number of bus routes;
step S5: the vehicle benefit calculation module marks the departure number of the kth bus line per hour and the length of the kth bus line as Nk and Lk respectively;
step S6: calculating the operation investment Y of the public transport enterprise by using a calculation formula
The operation investment Y of the public transport enterprise is sent to a line planning module and a data storage module;
step S7: the method comprises the steps that a route planning module obtains total travel time X of passengers and operation investment Y of a public transport enterprise;
step S8: calculating a bus route optimization index Z by using a calculation formula; the calculation formula is as follows: z ═ μ X + υ Y; wherein mu and upsilon are correction coefficients;
step S9: the route planning module sets a bus route optimization index threshold value, and when the bus route optimization index Z is out of the range of the bus route optimization index threshold value, a route adjusting instruction is sent to the route adjusting module.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The working principle of the invention is as follows: the public transport route planning method specifically comprises the following steps:
step S1: the method comprises the steps that the bus passenger flow from a traffic cell i to a traffic cell j is obtained through a data acquisition module, the bus travel time from the traffic cell i to the traffic cell j is obtained, and the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j are sent to a travel time calculation module; 1, …, n; j is 1, …, n; n represents the number of traffic cells;
step S2: the travel time calculation module marks the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j as Qij and Tij respectively;
step S3: the total travel time X of the passengers is calculated by using a calculation formula,
is calculated by the formula
The total travel time X of the passengers is sent to a route planning module and a data storage module;
step S4: acquiring and collecting the number of departure of the kth bus line per hour through a data acquisition module, and acquiring the length of the kth bus line; sending the number of departure of the kth bus line per hour and the length of the kth bus line to a vehicle benefit calculation module, wherein k is 1, …, s; s represents the number of bus routes;
step S5: the vehicle benefit calculation module marks the departure number of the kth bus line per hour and the length of the kth bus line as Nk and Lk respectively;
step S6: calculating the operation investment Y of the public transport enterprise by using a calculation formula
The operation investment Y of the public transport enterprise is sent to a line planning module and a data storage module;
step S7: the method comprises the steps that a route planning module obtains total travel time X of passengers and operation investment Y of a public transport enterprise;
step S8: calculating a bus route optimization index Z by using a calculation formula; the calculation formula is as follows: z ═ μ X + υ Y; wherein mu and upsilon are correction coefficients;
step S9: the route planning module sets a bus route optimization index threshold value, and when the bus route optimization index Z is out of the range of the bus route optimization index threshold value, a route adjusting instruction is sent to the route adjusting module.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. A public transport route planning system based on big data is characterized by comprising a travel time calculation module, a vehicle benefit calculation module, a data acquisition module, a route planning module, a route adjustment module and a data storage module;
the route planning module is used for planning the bus route, and the specific planning mode is as follows:
the method comprises the following steps: the method comprises the steps that a route planning module obtains total travel time X of passengers and operation investment Y of a public transport enterprise;
step two: calculating a bus route optimization index Z by using a calculation formula; the calculation formula is as follows: z ═ μ X + υ Y; wherein mu and upsilon are correction coefficients;
step three: the route planning module sets a bus route optimization index threshold value, and when the bus route optimization index Z is out of the range of the bus route optimization index threshold value, a route adjusting instruction is sent to the route adjusting module.
2. A big data based public transportation route planning system according to claim 1, wherein: the travel time calculation module is used for calculating travel time of passengers, and the specific calculation process comprises the following steps:
step A1: the method comprises the steps that the bus passenger flow from a traffic cell i to a traffic cell j is obtained through a data acquisition module, the bus travel time from the traffic cell i to the traffic cell j is obtained, and the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j are sent to a travel time calculation module; 1, …, n; j is 1, …, n; n represents the number of traffic cells;
step A2: the travel time calculation module marks the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j as Qij and Tij respectively;
step A3: the total travel time X of the passengers is calculated by using a calculation formula,
is calculated by the formula
And the total travel time X of the passengers is sent to a route planning module and a data storage module.
3. A big data based public transportation route planning system according to claim 1, wherein: the vehicle benefit calculation module is used for calculating the investment of the operation of the public transport enterprise, and the specific calculation process comprises the following steps:
step B1: acquiring and collecting the number of departure of the kth bus line per hour through a data acquisition module, and acquiring the length of the kth bus line; sending the number of departure of the kth bus line per hour and the length of the kth bus line to a vehicle benefit calculation module, wherein k is 1, …, s; s represents the number of bus routes;
step B2: the vehicle benefit calculation module marks the departure number of the kth bus line per hour and the length of the kth bus line as Nk and Lk respectively;
step B3: calculating the operation investment Y of the public transport enterprise by using a calculation formula,
is calculated by the formula
And the operation investment Y of the public transport enterprise is sent to the line planning module and the data storage module.
4. A big data based public transportation route planning system according to claim 2, wherein: the travel time only takes the time of riding the passenger into account.
5. A big data based public transportation route planning system according to claim 1, wherein: and the route adjusting module is used for adjusting the bus route when the bus route optimization index Z is out of the range of the bus route optimization index threshold.
6. A public transport route planning method based on big data is characterized in that: the public transport route planning method specifically comprises the following steps:
step S1: the method comprises the steps that the bus passenger flow from a traffic cell i to a traffic cell j is obtained through a data acquisition module, the bus travel time from the traffic cell i to the traffic cell j is obtained, and the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j are sent to a travel time calculation module; 1, …, n; j is 1, …, n; n represents the number of traffic cells;
step S2: the travel time calculation module marks the bus passenger flow from the traffic cell i to the traffic cell j and the bus travel time from the traffic cell i to the traffic cell j as Qij and Tij respectively;
step S3: the total travel time X of the passengers is calculated by using a calculation formula,
is calculated by the formula
The total travel time X of the passengers is sent to a route planning module and a data storage module;
step S4: acquiring and collecting the number of departure of the kth bus line per hour through a data acquisition module, and acquiring the length of the kth bus line; sending the number of departure of the kth bus line per hour and the length of the kth bus line to a vehicle benefit calculation module, wherein k is 1, …, s; s represents the number of bus routes;
step S5: the vehicle benefit calculation module marks the departure number of the kth bus line per hour and the length of the kth bus line as Nk and Lk respectively;
step S6: calculating the operation investment Y of the public transport enterprise by using a calculation formula,
is calculated by the formula
The operation investment Y of the public transport enterprise is sent to a line planning module and a data storage module;
step S7: the method comprises the steps that a route planning module obtains total travel time X of passengers and operation investment Y of a public transport enterprise;
step S8: calculating a bus route optimization index Z by using a calculation formula; the calculation formula is as follows: z ═ μ X + υ Y; wherein mu and upsilon are correction coefficients;
step S9: the route planning module sets a bus route optimization index threshold value, and when the bus route optimization index Z is out of the range of the bus route optimization index threshold value, a route adjusting instruction is sent to the route adjusting module.
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| US11867518B2 (en) | 2021-06-29 | 2024-01-09 | Apollo Intelligent Connectivity (Beijing) Technology Co., Ltd. | Method and apparatus for determining public transport route |
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