CN101593320A - A kind of multiple transportation modes combination capacity optimization method based on the transportation demand feature - Google Patents

Abstract

The invention discloses a kind of multiple transportation modes combination capacity optimization method in the configuring technical field that belongs to the optimization of multiple transportation modes combination capacity based on the transportation demand feature.This method is by comprehensive transportation demand and feature thereof being analyzed and predicted, providing the universal law that transportation demand produces; According to transportation demand feature construction broad sense aggreggate utility function, distribute by the traffic of multipath probability assignments method on the associating road network, the capability gap of analysis integrated transportation demand, structure multiple transportation modes assembled scheme collection, judge the resultant effect of each assembled scheme aspect conevying efficiency, shipping mass and haulage level, propose the configuration of movement capacity Combinatorial Optimization at last.The present invention can truly reflect the transportation demand of objective reality, the integrated combination of multiple transportation modes is considered, carry out the planning and the design of transport resource, thereby overcome the resource only considering single mode of transportation and bring and the waste of fund, effectively alleviate the 'bottleneck' restrictions of movement capacity national economy.

Description

A kind of multiple transportation modes combination capacity optimization method based on the transportation demand feature

Technical field

The invention belongs to the configuring technical field that multiple transportation modes combination capacity is optimized, particularly be used for a kind of multiple transportation modes combination capacity optimization method of the planning and the design of comprehensive transportation system movement capacity resource based on the transportation demand feature.

Background technology

Transportation demand is meant under certain social and economic condition, in the regular period, and in a certain zone (country, economic zone, area), the needs of the space displacement that national economy and social development is produced people and goods.It does not supply with (technical factor), management system factors such as (administrative factors) with existing comprehensive transport market is restriction, is not constraint with transport price and paying ability also.Comprehensive transportation demand is an outwardness, not at a certain single mode of transports such as railway, water route, highway, aviation, pipelines.Not being the transportation demands such as railway demand, highway and water route of indication usually in the practice at present, is the comprehensive embodiment of their transportation demands.The feature of transportation demand is to the analysis of transportation demand characteristic and description, at present, the transportation demand feature description there be different stressing from different angles, from Transportation Planning with organize angle, then lay particular emphasis on the analysis and the description of the spatial and temporal distributions, undulatory property etc. of transportation demand; From the theoretical research angle, based on the essence of the multiple transportation modes of demand characteristic combination capacity optimization be: comprehensive transportation system is supplied with in the transportation that aspects such as conevying efficiency, shipping mass and service level all reach under desirable the requirement; From the engineering practice angle, the essence of capacity optimization is exactly the configuration of multiple transportation modes transport power Rational structure.

Abroad, this technical research is not an emphasis, and relevant prior art is seldom arranged.The development of its transportation system of most of developed country is ahead of the socio-economic development level often, has formed many important main lines of communication in the transport development climax, and through competition and superseded, remains some important main lines, becomes the comprehensive system of transport.Therefore, it is not the very corn of a subject that the comprehensive transportation system movement capacity is distributed Study on Technology rationally, and how organizationally efficient their research emphasis be based on the problem of the traffic and transportation system that basically formed comprehensive transportation, promptly stresses the optimization at the transportation organizational process.Therefore active not as domestic abroad in the research of this field prior art.

At home, the prior art that the research capacity is optimized is more, but from the integrated angle research of multiple transportation modes seldom.Prior art, all optimize at single mode of transportation capacity such as railway, highway, water transport, aviation, pipeline, and, mostly be to stress to transport organizational process, do not stress to transport the configuration aspect, simultaneously, the method for taking is based on the analysis of certain mode of transportation technical and economic characteristics, and has ignored the analysis to the transportation demand feature.Be not that the angle of railway, highway, water transport, aviation multiple transportation modes Combinatorial Optimization is carried out the configuration of transport resource from the comprehensive traffic system.

The major defect that exists: from single mode of transportation separately, only having paid close attention to native system is a kind of optimization utilization of mode of transportation capacity, but can't guarantee distributing rationally of whole comprehensive transportation system capacity, thus the anxiety of traffic capacity in also causing putting into practice.For example, for Beijing-Shanghai composite transport channel, according to prior art, from railway, highway, water transport, aviation equal angles capacity prioritization scheme has separately been proposed respectively, all optimize from the triangular web angle, but from comprehensive transportation is that the combine angle of integrated optimization of various modes of transportation can't guarantee the optimization of whole passage comprehensive transportation system capacity at all, can not provide the allocation plan of multiple transportation modes Combinatorial Optimization according to prior art.Therefore, be necessary analyzing the transportation demand feature and producing on the basis of rule, propose the method for the capacity most optimum distribution of resources of multiple transportation modes combination in the comprehensive transportation system, can satisfy the requirement of this aspect based on the multiple transportation modes combination capacity method of distributing rationally of demand characteristic well.

Summary of the invention

The objective of the invention is on the one hand to provide the universal law that transportation demand produces by comprehensive transportation demand and feature thereof being analyzed and being predicted; On the other hand, according to transportation demand feature construction broad sense aggreggate utility function, distribute by the traffic of multipath probability assignments method on the associating road network, the capability gap of analysis integrated transportation demand, construct the scheme collection of multiple transportation modes combination in view of the above, judge the resultant effect of each assembled scheme aspect conevying efficiency, shipping mass and haulage level, propose a kind of multiple transportation modes combination capacity optimization method of movement capacity Combinatorial Optimization configuration at last based on the transportation demand feature.

A kind of multiple transportation modes combination capacity optimization method based on the transportation demand feature, it is characterized in that, described multiple transportation modes combination capacity optimization method is: utilize input output theory and space price equilibrium method, prediction obtains the magnitude of value and the quantity of goods produced of interregional transportation demand, solves the problem that can not reflect actual demand in the present practice with freight volume replacement demand; Utilize the cost analysis method of traffic engineering theory and transportation economics, comprehensively transport utility function from the angle structure broad sense of transportation provider cost, transportation demand person's cost and social transportation cost, utilizing multipath probability assignments method to carry out traffic on the associating road network that the multiple transportation modes stack constitutes distributes, the comparison of movement capacity and design movement capacity according to demand, obtain the capability gap data, utilize multiple goal rolling optimization method, obtain the scheme that multiple transportation modes combination capacity is distributed rationally; Specifically may further comprise the steps:

Step 1. set up Transportation Demand Forecast model, carry out comprehensive transportation demand analysis and prediction based on inputoutput analysis method;

Step 2. analyze provider's cost, demander cost and the social cost of various modes of transportation, make up broad sense and comprehensively transport utility function, propose the preference pattern of means of transportation configuration;

Step 3. utilize the preference pattern of means of transportation configuration to carry out the traffic distribution, calculate the demand movement capacity of transportation network and design movement capacity, analyze the capacity breach situation of transportation network according to traffic distribution result;

Step 4. according to capacity breach situation, make up the multiple transportation modes assembled scheme, optimize the capacity configuration, propose multiple transportation modes combination capacity and distribute suggested design rationally.

Foundation in the described step 1 is as follows based on the Transportation Demand Forecast model step of inputoutput analysis method, can calculate interregional industry amount of flow according to interregional input-output table

And industry mobility-thickness product $(\underset{j}{\mathrm{\Σ}}{x}_{\mathrm{ij}}^{\mathrm{Rs}}+f_i^{\mathrm{RS}})/\underset{s}{\mathrm{\Σ}}(\underset{j}{\mathrm{\Σ}}{x}_{\mathrm{ij}}^{\mathrm{RS}}+f_i^{\mathrm{RS}}),$ X wherein _Ij ^RSBe the input of the i of region R department to the j of region S department; f _i ^RSBe the final demand of the region S that product provided of the i of region R department, can obtain interregional transportation demand amount according to above-mentioned model.

In the described step 2, comprehensively transport utility function and be analyzing on provider's cost, demander cost and the social cost basis broad sense: $c_k\left(x\right)=(\frac{l_k}{v_k}\·\mathrm{VOT}\·x_k+l_k\·f_{\mathrm{ee}}\·x_k)+l_k\·f_k+(P_h\·{\mathrm{\γ}}_k\·l_k\·x_k+{\mathrm{\μ}}_g\·l_k\·x_k);$

Wherein, c _k(k) be that the broad sense of k kind mode is comprehensively transported effectiveness, l _kBe the length of k kind mode; x _kIt is the transportation demand amount that k kind mode is born; v _kIt is the design rate of k kind mode; VOT is the time value of unit goods, comprises the interior possible loss of time in transit of expectation and the opportunity cost of the occupation of capital; f _EeTrucking costs for the unit rotation volume of goods transport; f _iBe the construction costs of the unit mileage of k kind mode, promptly input full payment in the overall process is built in this highway section; Ph is the economic transformation ratio of energy resource consumption; γ _kIt is the needed energy-output ratio of the k kind mode unit's of finishing rotation volume of goods transport; μ _gThe environmental pollution cost that should bear for kilometer per ton shipping;

The preference pattern of means of transportation configuration is $P_k^{\mathrm{rs}}=\frac{\exp (-c_k^{\mathrm{rs}})}{\underset{k}{\mathrm{\Σ}}\exp (-c_k^{\mathrm{rs}})},$ P _k ^RsBe the selecteed probability of k kind means of transportation between the r-s; c _k ^RsFor the broad sense of k kind mode between the r-s is comprehensively transported effectiveness;

Movement capacity gap analysis in the described step 3, at first statistics obtains the demand movement capacity of k kind mode on the α of path in the transportation network $C_{\mathrm{\αk}}^d=\underset{r}{\mathrm{\Σ}}\underset{s}{\mathrm{\Σ}}\underset{\mathrm{\α}}{\mathrm{\Σ}}{f}_{\mathrm{\αk}}^{\mathrm{rs}}{\mathrm{\δ}}_{\mathrm{\αk}}^{\mathrm{rs}}$ Wherein: $\∀r\∈E,\∀s\∈F,\∀\mathrm{\α}\∈A,$ Subscript variable field of definition in the representation formula.

In the formula, f _{α k} ^RsFor the transportation demand flow between r-s on the α of path to the transportation demand amount of k kind mode, δ _{α k} ^RsBe 0,1 variable, if path α k kind mode transportation demand flow to the flow path between r-s on, its value is 1, otherwise is 0.E is the set of the starting point of generation transportation demand, and F is the set of the terminal point of attraction transportation demand, and A is the set in path in the transportation network.

Calculate the design movement capacity of k kind mode on the α of path in the transportation network then $C_{\mathrm{\αk}}^s=\mathrm{Min}\{C_{k1},C_{k2}...,C_{\mathrm{ky}}\}=\underset{y=\mathrm{1,2}...m}{\mathrm{Min}}\left\{C_{\mathrm{ky}}\right\},$ C _KyFor k kind mode among the α of path in the design movement capacity of section y, m is the quantity of section among the α of path.

In the described step 4,, make up the multiple transportation modes assembled scheme by following process according to capacity breach situation:

1. carry out the capability gap situation and judge that capability gap passes through $C=C_{\mathrm{\αk}}^d-C_{\mathrm{\αk}}^s=\underset{r}{\mathrm{\Σ}}\underset{s}{\mathrm{\Σ}}\underset{\mathrm{\α}}{\mathrm{\Σ}}{f}_{\mathrm{\αk}}^{\mathrm{rs}}{\mathrm{\δ}}_{\mathrm{\αk}}^{\mathrm{rs}}-C_{\mathrm{\αk}}^s$ Calculate.

2. propose multiple transportation modes combination capacity and distribute suggested design rationally: the entropy P that at first calculates transportation demand that every kind of mode of transportation is born according to as follows _Ij=x _Ij/ x _i, x _iBe the transportation demand of certain section in the transportation network, x _IjThe conversion demand of bearing for every kind of mode; System's entropy of this transportation network is: $E=-k\underset{i}{\mathrm{\Σ}}\underset{j}{\mathrm{\Σ}}{P}_{\mathrm{ij}}\log P_{\mathrm{ij}}.$ When the mode of carrying out the path was selected, making the entropy of transportation network system reach maximum means of transportation combination was exactly the configuration path of optimum; That is, the entropy for elements all among the set Q has E _s＞E _k, E _sSystem's entropy for optimum combination scheme s; E _kBe the system's entropy except that element s among the set Q.So far, just finished planning and the design of optimizing based on the multiple transportation modes combination capacity of transportation demand feature.

Beneficial effect of the present invention: can truly reflect the transportation demand of objective reality, from transportation provider's (carrier), transportation demand person (passenger or the owner of cargo) and society's transportation (national government) angle, take all factors into consideration haulage time and expense, the resource of transportation facilities construction cost and means of transportation, factors such as energy consumption cost, with railway, highway, water transport, the integrated combination of multiple transportation modes such as aviation is considered, carry out the planning and the design of transport resource, thereby overcome and only consider single mode of transportation, only stress that provider's angle is carried out transport resource planning and design and the 'bottleneck' restrictions of movement capacity to national economy are effectively alleviated in the resource brought and the waste of fund.

Description of drawings

Fig. 1 multiple transportation modes combination capacity optimization method process flow diagram.

Fig. 2 transportation demand time fluctuation curve is used for analyzing the time fluctuation feature of transportation demand.

Fig. 3 transportation demand space distribution is expected line, is used for analyzing the spatial distribution characteristic of transportation demand.

Fig. 4 multiple transportation modes combination capacity is distributed figure rationally.

Embodiment

The invention provides a kind of multiple transportation modes combination capacity optimization method based on the transportation demand feature.Below in conjunction with drawings and Examples the present invention is illustrated

Beijing-Shanghai transport channel with supreme sea, Beijing is an example, provides the proposed projects that Beijing-Shanghai transport channel the year two thousand twenty various forms of transport ability at a specified future date is distributed rationally according to following steps, and process flow diagram is seen Fig. 1:

Step 1. set up Transportation Demand Forecast model, carry out comprehensive transportation demand analysis and prediction based on inputoutput analysis method;

Step 2. analyze provider's cost, demander cost and the social cost of various modes of transportation, make up broad sense and comprehensively transport utility function, propose the preference pattern of means of transportation configuration, carry out traffic and distribute;

Step 3. utilize the preference pattern of means of transportation configuration to carry out the traffic distribution, calculate the demand movement capacity of transportation network and design movement capacity, analyze the capacity breach situation of transportation network according to traffic distribution result; If demand movement capacity 〉=design movement capacity, then execution in step four, distribute suggested design rationally otherwise propose multiple transportation modes combination capacity.

Step 4. according to capacity breach situation, make up the multiple transportation modes assembled scheme, optimize the capacity configuration,, then propose multiple transportation modes combination capacity and distribute suggested design rationally, otherwise return step 2 if combination capacity prioritization scheme is optimum;

Beijing-Shanghai transport channel with supreme sea, Beijing is an example,

At first according to step 1, set up Transportation Demand Forecast model based on inputoutput analysis method, carry out comprehensive transportation demand analysis and prediction; Concrete steps are as follows:

1) according to the interregional input-output table of base year (State Statistics Bureau all issues this table whenever 2,7 years), at first calculate direct partition factor and obtain requirement matrix H, as shown in table 1;

2) data of the branch trade added value in estimation target year;

3) utilize row to set up the relation between total output and the added value, thereby calculate the variable quantity of total output to model (partition equilibrium model);

4) go out further to try to achieve middle input amount according to the target gross annual output, utilize the relational expression of intermediate product+final products=total output again, the base year input-output table is expanded to the input-output table in target year, and (wherein region R offers region S=1, ..., the final products of J are determined by partition factor);

5) on the basis that obtains target year input-output table, calculate interregional freight demand magnitude of value OD matrix.Result of calculation is shown in following table 1: Beijing, through Tianjin, Jinan, Xuzhou, Bangbu, Nanjing, to Shanghai

Transportation demand amount unit (ton) between year Beijing-Shanghai transport channel of table 12020 provinces and cities

OD	Beijing	Tianjin	Jinan	Xuzhou	Bangbu	Nanjing	Shanghai
								Beijing	45941000	1395700	743480	359010	602100	650890	228190
Tianjin	1652700	95990000	5190800	1415200	4649400	2663000	1441300
								Jinan	537510	5698100	153020000	2813700	5140900	2044300	1727800
Xuzhou	338060	1644600	5613600	108810000	3232800	1703800	2908000
								Bangbu	855940	3875300	6893500	3123600	112840000	3453800	2905200
Nanjing	418650	5008400	734490	249110	1083000	47122000	742390
								Shanghai	94833	378400	934850	4997200	1267700	1126300	55547000

The time fluctuation signature analysis of transportation demand is 1953-2006 whole nation volume of goods transported variation tendency as shown in Figure 2, and the spatial distribution characteristic analysis chart of transportation demand is as 3.

Provider's cost, demander cost and the social cost of step 2, the various modes of transportation of analysis make up broad sense and comprehensively transport utility function, propose the preference pattern of means of transportation configuration;

According to $c_k\left(x\right)=(\frac{l_k}{v_k}\·\mathrm{VOT}\·x_k+l_k\·f_{\mathrm{ee}}\·x_k)+l_k\·f_k+(P_h\·{\mathrm{\γ}}_k\·l_k\·x_k+{\mathrm{\μ}}_g\·l_k\·x_k)$ Calculate broad sense and comprehensively transport effectiveness, wherein VOT=(R _GDP-VOT ₁L ₀)/K ₀, R _GDPThe gross national product (GNP) that produces in the average unit interval for the transport items location; VOT ₁It is Time value of passengers; L ₀Total labor force for this area.In the calculating, according to urban society and national economy statistical data such as Beijing, Tianjin, Jinan, Xuzhou, Bangbu, Nanjing, Shanghai, goods time value value respectively is 17,10,13,10,10,15,18 yuan/hour.

f _iUnit mileage construction costs, transportation by railroad: when the design speed per hour is 200 kilometers/hour, value is ten thousand yuan/kilometer of 3000-4000, when the design speed per hour is kilometer/hour that value is 9,100 ten thousand yuan/kilometer.

The following table 2 of several modes environmental pollution cost value reference:

The environmental pollution cost reference value (unit/ton kilometre) of the various forms of transport of table 2 shipping

	Railway	Highway	Aviation	Water transport	Pipeline
						Noise	0.00205	0.0043	0.101	0.0066	-
Harmful gas	0.0412	0.138	1.903	0.0598	0.059
						Add up to	0.04325	0.1423	2.104	0.0664	0.059

Step 3, the preference pattern that utilizes means of transportation to dispose carry out traffic and distribute, and calculate the demand movement capacity of transportation network and design movement capacity, the capacity breach situation of analysis transportation network according to traffic distribution result;

Beijing-Shanghai passage is divided into Beijing-Tianjin according to major control point, Tianjin-Jinan, Jinan-Nanjing, belong to relation in parallel in 4 sections in Nanjing-Shanghai, each section between the different modes of transportation, the movement capacity of section is various mode of transportation movement capacity sums, and these 4 sections are series relationship in Beijing-Shanghai passage, according to " the short group of wooden barrel " principle, Beijing-Shanghai channels designs transport capacity is 542209 tons/day, adds up to 19,791 ten thousand tons/year.The bottleneck section still is Tianjin-Jinan section.

Beijing-Shanghai passage road network design of target year movement capacity is 542209 tons/day, and the demand movement capacity of Beijing-Shanghai passage is 1003819 tons/day, capability gap is 461610 tons/day, add up to 16,849 ten thousand tons/year, still because the lack of uniformity of each section design movement capacity and demand, the nervous section of the ability of Beijing-Shanghai passage still is present between Beijing-Tianjin, every day, capability gap was up to 159782 tons, pressure reduced 146605 tons than 2006, this and Beijing-Tianjin second at a high speed, Beijing-Tianjin the 3rd suitable relation that has been open to the traffic at a high speed; And other sections all have residue ability in 2010.

Step 4, according to capacity breach situation, make up multiple transportation modes assembled scheme collection, optimize the capacity configuration, propose multiple transportation modes combination capacity and distribute suggested design rationally.

Ability exists the unbalancedness of route and section in the Beijing-Shanghai passage, and the nervous section of ability is between Beijing-Tianjin, Nanjing-Shanghai; There is very big breach in the railway ability between Beijing-Tianjin, preferably can build a shipping multiple line future or implementation separates lines for passenger and freight, improve the freight-transport capacity of railway, simultaneously, the highway aspect is built two highways at least or existing highway between Beijing and Tianjin, 103,104 national highways is carried out reorganization and expansion, to improve its movement capacity; Nanjing-Shanghai section, Suzhou-Shanghai section of railway track movement capacity need to strengthen, and the highway aspect, because the reorganization and expansion of Shanghai and Nanjing highway in 2006, there is certain residue in its movement capacity, can adapt to the growth of following short term need, can remain unchanged.Movement capacity Combinatorial Optimization allocation plan such as Fig. 4.

Claims (5)

1. one kind based on the multiple transportation modes of transportation demand feature combination capacity optimization method, it is characterized in that, this method is when carrying out the movement capacity configuration, and it is as follows to carry out step:

Step 1. set up Transportation Demand Forecast model, carry out comprehensive transportation demand analysis and prediction based on inputoutput analysis method;

Step 2. analyze provider's cost, demander cost and the social cost of various modes of transportation, make up broad sense and comprehensively transport utility function, propose the preference pattern of means of transportation configuration;

Step 3. utilize the preference pattern of means of transportation configuration to carry out the traffic distribution, calculate the demand movement capacity of transportation network and design movement capacity, analyze the capacity breach situation of transportation network according to traffic distribution result;

Step 4. according to capacity breach situation, make up multiple transportation modes assembled scheme collection, optimize the capacity configuration, propose multiple transportation modes combination capacity and distribute suggested design rationally.

2. the multiple transportation modes combination capacity optimization method based on the transportation demand feature according to claim 1, it is characterized in that: the foundation in the described step 1 is as follows based on the Transportation Demand Forecast model step of inputoutput analysis method, can calculate interregional industry amount of flow according to interregional input-output table

And industry mobility-thickness product $(\underset{j}{\mathrm{\Σ}}{x}_{\mathrm{ij}}^{\mathrm{Rs}}+f_i^{\mathrm{RS}})/\underset{s}{\mathrm{\Σ}}(\underset{j}{\mathrm{\Σ}}{x}_{\mathrm{ij}}^{\mathrm{RS}}+f_i^{\mathrm{RS}}).$ x _Ij ^RSBe the input of the i of region R department to the j of region S department; f _i ^RSBe the final demand of the region S that product provided of the i of region R department, can obtain interregional transportation demand amount according to above-mentioned model.

3. the multiple transportation modes combination capacity optimization method based on the transportation demand feature according to claim 1 is characterized in that:

In the described step 2, analyzing on provider's cost, demander cost and the social cost basis, broad sense is comprehensively transported utility function and is $c_k\left(x\right)=(\frac{l_k}{v_k}\·\mathrm{VOT}\·x_k+l_k\·f_{\mathrm{ee}}\·x_k)+l_k\·f_k+(P_h\·{\mathrm{\γ}}_k\·l_k\·x_k+{\mathrm{\μ}}_g\·l_k\·x_k);$

C wherein _k(x) be that the broad sense of k kind mode is comprehensively transported effectiveness; l _kBe the length of k kind mode; x _kIt is the transportation demand amount that k kind mode is born; v _kIt is the design rate of k kind mode; VOT is the time value of unit goods, comprises the interior possible loss of time in transit of expectation and the opportunity cost of the occupation of capital; f _EeTrucking costs for the unit rotation volume of goods transport; f _iBe the construction costs of the unit mileage of k kind mode, promptly input full payment in the overall process is built in this highway section; Ph is the economic transformation ratio of energy resource consumption; γ _kIt is the needed energy-output ratio of the k kind mode unit's of finishing rotation volume of goods transport; μ _gThe environmental pollution cost that should bear for kilometer per ton shipping; According to above-mentioned every cost estimating, the means of transportation allocation models of selection is $P_k^{\mathrm{rs}}=\frac{\exp (-c_k^{\mathrm{rs}})}{\underset{k}{\mathrm{\Σ}}\exp (-c_k^{\mathrm{rs}})};$

P wherein _k ^RsBe the selecteed probability of k kind mode between the r-s; c _k ^RsFor the broad sense of k kind mode between the r-s is comprehensively transported effectiveness.

4. the multiple transportation modes combination capacity optimization method based on the transportation demand feature according to claim 1, it is characterized in that: movement capacity gap analysis in the described step 3, at first statistics obtains the demand movement capacity of k kind mode on the α of path in the transportation network $C_{\mathrm{\αk}}^d=\underset{r}{\mathrm{\Σ}}\underset{s}{\mathrm{\Σ}}\underset{\mathrm{\α}}{\mathrm{\Σ}}{f}_{\mathrm{\αk}}^{\mathrm{rs}}{\mathrm{\δ}}_{\mathrm{\αk}}^{\mathrm{rs}}$ Wherein: $\∀r\∈E,\∀s\∈F,\∀\mathrm{\α}\∈A,$ Subscript variable field of definition in the representation formula;

In the formula, f _{α k} ^RsFor the transportation demand flow between r-s on the α of path to the transportation demand amount of k kind mode, δ _{α k} ^RsBe 0,1 variable, if path α k kind mode transportation demand flow to the flow path between r-s on, its value is 1, otherwise is 0.E is the set of the starting point of generation transportation demand, and F is the set of the terminal point of attraction transportation demand, and A is the set in path in the transportation network;

Calculate the design movement capacity of k kind mode on the α of path in the transportation network then $C_{\mathrm{\αk}}^s=\mathrm{Min}\{C_{k1},C_{k2}...,C_{\mathrm{ky}}\}=\underset{y=\mathrm{1,2}...m}{\mathrm{Min}}\left\{C_{\mathrm{ky}}\right\},$ C _KyFor k kind mode among the α of path in the design movement capacity of section y, m is the quantity of section among the α of path.

5. the multiple transportation modes combination capacity optimization method based on the transportation demand feature according to claim 1, it is characterized in that: in the described step 4, according to capacity breach situation, the process that makes up the multiple transportation modes assembled scheme is as follows:

(1) carries out the capability gap situation and judge that capability gap passes through $C=C_{\mathrm{\αk}}^d-C_{\mathrm{\αk}}^s=\underset{r}{\mathrm{\Σ}}\underset{s}{\mathrm{\Σ}}\underset{\mathrm{\α}}{\mathrm{\Σ}}{f}_{\mathrm{\αk}}^{\mathrm{rs}}{\mathrm{\δ}}_{\mathrm{\αk}}^{\mathrm{rs}}-C_{\mathrm{\αk}}^s$ Calculate

Obtain;

(2) propose multiple transportation modes combination capacity and distribute suggested design rationally: the entropy P that at first calculates transportation demand that every kind of mode of transportation is born according to as follows _Ij=x _Ij/ x _i, x _iBe the transportation demand of certain section in the transportation network, x _IjThe conversion demand of bearing for every kind of mode; System's entropy of this transportation network can be: $E=-k\underset{i}{\mathrm{\Σ}}\underset{j}{\mathrm{\Σ}}{P}_{\mathrm{ij}}\log P_{\mathrm{ij}};$ When the mode of carrying out the path was selected, making the entropy of transportation network system reach maximum means of transportation combination was exactly the configuration path of optimum; That is, the entropy for elements all among the set Q has E _s＞E _k, E _sSystem's entropy for optimum combination scheme s; E _kBe the system's entropy except that element s among the set Q.

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