CN105654415A - Road network passing efficiency change rate calculation method facing traffic manager - Google Patents

Road network passing efficiency change rate calculation method facing traffic manager Download PDF

Info

Publication number
CN105654415A
CN105654415A CN201610040801.XA CN201610040801A CN105654415A CN 105654415 A CN105654415 A CN 105654415A CN 201610040801 A CN201610040801 A CN 201610040801A CN 105654415 A CN105654415 A CN 105654415A
Authority
CN
China
Prior art keywords
road network
section
change
rate
usefulness
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.)
Granted
Application number
CN201610040801.XA
Other languages
Chinese (zh)
Other versions
CN105654415B (en
Inventor
蔡正义
王殿海
马东方
熊满初
朱慧
陈梦微
章伟
金盛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang University ZJU
Original Assignee
Zhejiang University ZJU
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhejiang University ZJU filed Critical Zhejiang University ZJU
Priority to CN201610040801.XA priority Critical patent/CN105654415B/en
Publication of CN105654415A publication Critical patent/CN105654415A/en
Application granted granted Critical
Publication of CN105654415B publication Critical patent/CN105654415B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/40

Abstract

The invention discloses a road network passing efficiency change rate calculation method facing a traffic manager. The method comprises the steps of: selecting and calculating a road network average travel speed and road network transportation efficiency in unit time; carrying out grouped processing the average travel speed and the road network transportation efficiency according to the number of road network running vehicles, and determining a mapping relation of both the average travel speed and the road network transportation efficiency with the road network running vehicle number; defining a road network passing efficiency grouping comprehensive change rate and calculating a weight value; calculating the road network passing efficiency comprehensive change rate before and after implementing a control scheme according to the averaged travel speed, the road network transportation efficiency and an index weight, and performing contrastive analysis on the change of the passing efficiency. According to the invention, the defect that the influence of the alternating quantity cannot be eliminated in the original calculation of the road network passing efficiency change rate is overcome, comprehensive comparison and evaluation of the urban road traffic road network passing efficiency are facilitated, the potential of the policy and measures is excavated deeply, and the data support and decision basis for improving the traffic management level and the road network passing efficiency are provided.

Description

A kind of road network traffic efficiency rate of change computational methods towards traffic administration person
Technical field
The present invention relates to a kind of road network traffic efficiency rate of change computational methods towards traffic administration person, for urban traffic management and control, belong to intelligent transportation research field.
Background technology
The traffic efficiency of the scientific and reasonable city road network evaluated under different control measures, contributes to traffic administration person and fully understands the quality of different kinds of roads traffic measure, and provide decision information support, promote the lifting of urban traffic control level.
The evaluation of city road network traffic efficiency and analysis are the bases characterizing urban traffic control measure effect. From the eighties in 20th century so far, the evaluation of urban road traffic efficiency achieves many progress, Chinese scholars proposes substantial amounts of characteristic index, descriptive model and computational methods, such as Assessment of Serviceability of Roads and road crowding model etc., the urban road traffic state of these indexs and the big multipair specific time period of model differentiates, is mainly directed towards road network user and issues. But particular way road network traffic efficiency off the net is transport need and the coefficient result of traffic administration, net state evaluation of only satisfying the need cannot reject the impact of different transport need, thus cannot as the Appreciation gist of the traffic efficiency change under different traffic management measures enforcements. Therefore, for the road network traffic efficiency under the different traffic control scheme of contrast under same transport need, provide Informational support for traffic administration decision-making, a kind of towards gerentocratic road network traffic efficiency rate of change computational methods in the urgent need to proposing.
Summary of the invention
It is an object of the invention to provide a kind of road network traffic efficiency rate of change computational methods towards traffic administration person. The basic thought of the method is all vehicles travel in unit interval network traffic flow total kilometrage and average travel speed the two index is foundation, is rejecting on the basis of transport need impact the computational methods of road network traffic efficiency rate of change before and after structure one reflection traffic measure or policy execution.
For achieving the above object, the road network traffic efficiency rate of change computational methods towards traffic administration person that the present invention proposes include: select and calculate to obtain unit interval road network average travel speed and road network transport usefulness;Average travel speed and road network are transported usefulness and presses road network driving vehicle number packet transaction, define the mapping relations of the two and road network driving vehicle number; Definition road network traffic efficiency is grouped comprehensive rate of change and calculates the value of weight ��; The road network comprehensive rate of change of traffic efficiency before and after management and control scheme is implemented, relative analysis traffic efficiency situation of change is calculated according to average travel speed, road network transport usefulness and index weights.
The basic step of the present invention is as follows:
C1, selection calculating obtain the traffic indicators for characterizing road network traffic efficiency: road network average travel speed and road network transport usefulness;
C2, road network average travel speed and road network are transported usefulness press road network driving vehicle number packet transaction, calculate road network average travel speed that under different management and control scheme, different transport need intervals are corresponding respectively and road network transports usefulness rate of change;
C3, definition road network traffic efficiency are grouped comprehensive rate of change, calculate the weight coefficient transporting usefulness and average speed in comprehensive rate of change;
C4, be grouped comprehensive rate of change according to road network traffic efficiency, it is determined that management and control scheme implement before and after the result of calculation of the comprehensive rate of change of road network traffic efficiency.
The process of step c1 includes:
C11, determine and road network is divided into the road network scope of required calculating different sections of highway according to crossing and obtains road section length li, unit is km.
C12, the vehicle flow determining each section and speed can availability, include but not limited to coil checker data, microwave data, bayonet socket data.
C13, determine data sampling interval: choosing the sampling interval is 15 minutes.
C14, obtained traffic flow and the speed data of each section in each sampling interval by detection equipment.
C15, the traffic flow of each section section obtained in step c14 and speed are processed, obtain transport usefulness and the road network average speed of road network.
C16, the same period of one day respectively to gathering data processing before and after traffic measure or policy execution, obtain correction data collection.
For the detector of each section in step c14, obtain traffic flow and speed in each sampling interval, specifically include:
C141, acquisition traffic flow parameter;
By the vehicle number of section, unit veh in each sampling interval;
qi(k)=ni(k)
In formula: i-th section section in i road network;
The k kth sampling interval;
qiThe traffic flow of (k) kth sampling interval i-th section section;
niThe vehicle number passed through on the section of (k) kth sampling interval i-th section.
C142, acquisition traffic speed parameter;
In each sampling interval, average speed is namely by the average speed of all vehicles of detection equipment, and unit is km/h;
v i ( k ) = Σ j = 1 n i ( k ) v i j ( k ) q i ( k )
In formula: viThe average speed of (k) kth sampling interval i-th section vehicle;
vijSpeed when jth car is by detection equipment on () kth sampling interval i-th section k.
Traffic flow and the speed of the step c15 each section section to obtaining in step c14 process, and obtain transport usefulness and the road network average speed of road network, specifically include:
C151, calculate the transport usefulness in each section;
So-called transport usefulness, refers to the total kilometrage that in the unit interval, in network traffic flow, all vehicles travel, and the transport usefulness in each section can calculate with following formula, and unit is km veh, it may be assumed that
pi(k)=(q'i(k)+q"i(k))��li
In formula: pi(k) i-th section transport usefulness within the kth sampling interval;
q'i(k)��q��iThe flow of (k) respectively section up direction and down direction;
liThe length in i-th section.
C152, calculate road network transport usefulness;
Road network transport usefulness is the summation of each section transport usefulness, it may be assumed that
P ( k ) = Σ i = 1 n p i ( k )
C153, calculate road network average speed;
The average speed of road network takes the weighted mean of section speed, and unit is km/h, it may be assumed that
V ( k ) = Σ i = 1 n S i ( k ) v i ( k ) l i Σ i = 1 n S i ( k ) l i
In formula: road network average stroke speed, km/h in V (k) the kth sampling interval;
SiThe degree of loading of section unit i, dimensionless in (k) kth sampling interval;
liThe length of section unit i, km;
viThe average speed of section unit i, km/h in (k) kth sampling interval.
The degree of loading following formula of section unit calculates, it may be assumed that
Si(k)=12qi(k)/Ci
In formula: CiThe design capacity of section unit i, veh/h, can obtain from On Road Planning And Design department.
C16 step specifically includes:
C161, for each transport Potency data P (k), have a corresponding road network in fortune vehicle number N (k)=�� q (k), represent with (N (k), P (k)). Arrange the data set obtaining obtaining with the period before and after traffic measure or policy execution respectively, it may be assumed that
{(N(1),P(1)),(N(2),P(2)),(N(3),P(3))......(N(j),P(j))}
{(N'(1),P'(1)),(N'(2),P'(2)),(N'(3),P'(3))......(N'(j),P'(j))}
C162, for each road network average speed data V (k), have a corresponding road network in fortune vehicle number N (k)=�� q (k), represent with (N (k), V (k)). Arrange the data set obtaining obtaining with the period before and after traffic measure or policy execution respectively, it may be assumed that
{(N(1),V(1)),(N(2),V(2)),(N(3),V(3))......(N(j),Vj)}
{(N'(1),V'(1)),(N'(2),V'(2)),(N'(3),V'(3))......(N'(j),V'(j))}
Step c2 is specifically:
C21, to road network average travel speed, road network transport usefulness press road network driving vehicle number packet transaction.
C22, the respectively road network calculated under two schemes transport the rate of change of usefulness, road network average speed.
C21 step specifically includes:
C211, by the packet method in statistics, transport need is divided into some intervals according to fixed interval, transport need amount in each interval, road network transport usefulness and road network average speed renumber;
Packet group number and group are from there being below equation to determine, it may be assumed that
K=1+3.322lgj
l = m a x ( N j , N ′ j ) - m i n ( N j , N ′ j ) 1 + 3.3 l g j
In formula: K packet group number;
J transports usefulness data amount check;
L interval size;
max(Nj,N'j)��min(Nj,N'j) two issues in control time interval are according to maximum and the minima of concentrating road network vehicle number.
After c212, rejecting packet, some scheme data are empty packet, if namely scheme one data set or scheme two data set drop on the data in certain packet k for empty, then reject other data of this packet.
C22 step specifically includes:
C221, each protocol collection is processed after grouped data, characterize the operational efficiency in this transport need with the arithmetic mean of instantaneous value often organizing data; Road network in kth vehicle number interval transports usefulness and road network average speed computing formula is:
P ‾ k = 1 m Σ i = 1 m P k i
v ‾ k = 1 m Σ i = 1 m v k i
In formula:The transport usefulness data mean value of kth group data;
The data amount check of m kth group data;
PkiRoad network corresponding to the i-th point transport usefulness of kth group;
The road network average speed average of kth group data;
vkiThe road network average speed corresponding to i-th point of kth group.
C222, the transport usefulness variable quantity calculating each grouped data of two schemes and average speed variable quantity.
For road network, represent front and back two sleeve pipe prosecutor case with 1 and 2 respectively, with the midvalue of class i.e. vehicle number intermediate value of this group up-and-down boundary of place packet for weight, calculate at the variable quantity of the interval transport usefulness of all transport needs and average speed variable quantity, it may be assumed that
ΔP k = Σ k = 1 K ( P ‾ k 2 - P ‾ k 1 ) · N k Σ k = 1 K N k
Δv k = Σ k = 1 K ( v ‾ k 2 - v ‾ k 1 ) · N k Σ k = 1 K N k
In formula: NkThe flow N of kth groupjMidvalue of class, the i.e. intermediate value of road network vehicle number up-and-down boundary.
C223, the transport usefulness rate of change calculated under different grouping and average speed rate of change.
What step c221 obtained is the absolute value of index of correlation change, draws rate of change compared with a upper phase reference value, it may be assumed that
ξ k p = ΔP k P ‾ k 1
ζ k v = Δv k v ‾ k 1
In formula:The kth group data transport usefulness rate of change of road network;
The average of the kth group transport Potency data of scheme one data;
Average speed rate of change;
The average of the kth group average speed data of scheme one data.
The calculating process of C3 specifically includes:
C31, definition road network traffic efficiency are grouped comprehensive rate of change, consider the impact of different transport need, it is proposed to road network traffic efficiency is grouped comprehensive rate of change, it may be assumed that
In formula:Section traffic efficiency is grouped comprehensive rate of change;
The transport usefulness rate of change of section kth group data;
The average speed rate of change of section kth group data;
��kThe weight coefficient of transport usefulness rate of change and Road average-speed rate of change.
C32, road network free stream velocity determination.
Urban road free stream velocity takes the speed limit in this section, unit km/h, and the free stream velocity of road network is the weighted mean of each section free stream velocity, it may be assumed that
v f = Σ i = 1 n ( v f i · l i ) Σl i
In formula: vfThe free stream velocity of road network;
vfiThe free stream velocity in i-th section in road network;
Total number in section in n road network.
C33, weight coefficient �� determination.
Weight coefficient �� is determined by road network average speed V and road network free stream velocity, it may be assumed that
θ k = 1 - 1 1 + e - b ( V k - v f 2 )
Wherein:
b = - 2 * l n 0.00125 v f
The calculating process of step c4 includes:
Transport need for road network is interval, it is possible to use interval intermediate value NkAs the transport need eigenvalue in this interval, and as the comprehensive rate of change of road network traffic efficiency within the scope of the whole transport need of weight calculation, compare the traffic efficiency of different schemes; Scheme two relative to the comprehensive rate of change of the traffic efficiency of scheme one is:
The rate of change drawn on the occasion of, illustrate that road network operational efficiency is promoted, rate of change is negative value, illustrates that operational efficiency declines.
Beneficial effects of the present invention: the present invention proposes a kind of towards gerentocratic road network traffic efficiency rate of change computational methods, compensate for original road network traffic efficiency rate of change and calculate the deficiency that cannot remove of ac impact, contribute to complete contrast and evaluate urban highway traffic road network traffic efficiency, deeply excavate policy and measure potentiality, for promoting traffic management level, improving road network traffic efficiency provides data supporting and decision-making foundation.
Accompanying drawing explanation
Fig. 1 method flow schematic diagram;
The traffic partition schematic diagram of Fig. 2 road network transport usefulness;
The traffic partition schematic diagram of Fig. 3 road network average speed;
Fig. 4 weight coefficient calculates schematic diagram.
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention will be further described
Implementing data instance before and after signal adjusting and optimizing measure with certain urban road network, the road network traffic efficiency rate of change of front and back is implemented in signal calculated tuning measure, referring to Fig. 1.
1. road network multi-transportation usefulness before and after the measure of signal calculated tuning and road network average speed.
(1), data are gathered
Traffic flow data needed for collection calculating road network average speed and road network multi-transportation usefulness: the length l in i-th section in road networki, traffic capacity CiAnd free stream velocity vfi, each sampling interval characterizes the average speed v of the detection section traffic flow of section ii(k) and traffic flow qi(k)��
(2), kth sampling interval road network multi-transportation usefulness is calculated
1. i-th section transport usefulness within the kth sampling interval:
pi(k)=(q'i(k)+q"i(k))��li
2. road network multi-transportation usefulness:
P ( k ) = Σ i = 1 n p i ( k )
(3), kth sampling interval road network average speed is calculated:
V ( k ) = Σ i = 1 n S i ( k ) v i ( k ) l i Σ i = 1 n S i ( k ) l i
2. the comprehensive rate of change of road network traffic efficiency before and after the measure of signal calculated tuning
(1), the transport usefulness peace all travel speeds in each for road network period are grouped according to driving vehicle number, draw packet situation map, as shown in accompanying drawing 2, accompanying drawing 3.Packet group number and group from for:
K=1+3.322lgj
l = m a x ( N j , N ′ j ) - m i n ( N j , N ′ j ) 1 + 3.3 l g j
(2), reject packet after some scheme data be empty packet, if data that namely scheme one data set or scheme two data set drop in certain packet k are sky, then reject other data of this packet of another program.
(3), to the grouped data after the process of each protocol collection, average respectively in each packet:
P ‾ k = 1 m Σ i = 1 m P k i
v ‾ k = 1 m Σ i = 1 m v k i
(4) road network transport usefulness peace all velocity variables of each packet, are calculated:
ΔP k = Σ k = 1 K ( P ‾ k 2 - P ‾ k 1 ) · q k Σ k = 1 K q k
Δv k = Σ k = 1 K ( v ‾ k 2 - v ‾ k 1 ) · N k Σ k = 1 K N k
(5) road network transport usefulness peace all percentage speed variations of each packet, are calculated:
ξ k p = ΔP k P ‾ k 1
ζ k v = Δv k v ‾ k 1
(6), determining that road network is in different transport need intervals, road network transport usefulness peace all speed is grouped the weight coefficient in rate of change at traffic efficiency.
1. the parameter v in the middle of weight coefficient is demarcatedfAnd b:
v f = Σ i = 1 n ( v f i · l i ) Σl i
b = - 2 * l n 0.00125 v f
2. calculate transport usefulness weight coefficient, weight coefficient with average speed change as shown in Figure 4:
θ k = 1 - 1 1 + e - b ( V k - v f 2 )
(7), the front and back comprehensive rate of change of road network traffic efficiency is implemented in the measure of signal calculated tuning.
1. road network traffic efficiency is grouped comprehensive rate of change:
2. scheme two is relative to the comprehensive rate of change of road network traffic efficiency of scheme one:
3. the comprehensive rate of change of traffic efficiency completing different schemes calculates
Can calculate and obtain road network after signal tuning measure is implemented, the traffic efficiency comprehensive rate of change such as following table of 6 packets.
The signal tuning way of escape Netcom comprehensive rate of change of line efficiency

Claims (5)

1. the road network traffic efficiency rate of change computational methods towards traffic administration person, it is characterised in that the method comprises the following steps:
C1, selection calculating obtain the traffic indicators for characterizing road network traffic efficiency: road network average travel speed and road network transport usefulness;
C2, road network average travel speed and road network are transported usefulness press road network driving vehicle number packet transaction, calculate road network average travel speed that under different management and control scheme, different transport need intervals are corresponding respectively and road network transports usefulness rate of change;
C3, definition road network traffic efficiency are grouped comprehensive rate of change, calculate the weight coefficient transporting usefulness and average speed in comprehensive rate of change;
C4, be grouped comprehensive rate of change according to road network traffic efficiency, it is determined that management and control scheme implement before and after the result of calculation of the comprehensive rate of change of road network traffic efficiency.
2. the road network traffic efficiency rate of change computational methods towards traffic administration person according to claim 1, it is characterized in that: in step c1, select and calculate to obtain road network average travel speed and road network transport usefulness as the traffic indicators characterizing road network traffic efficiency:
C11, determine and road network is divided into the road network scope of required calculating different sections of highway according to crossing and obtains road section length li;
C12, the vehicle flow determining each section and speed can availability, include but not limited to coil checker data, microwave data, bayonet socket data;
C13, determine data sampling interval: choosing the sampling interval is 15 minutes;
C14, obtained traffic flow and the speed data of each section in each sampling interval by detection equipment;
C15, the traffic flow of each section section obtained in step c14 and speed are processed, obtain transport usefulness and the road network average speed of road network;
C16, at the same time section to gathering data before and after traffic measure or policy execution and processing, obtain correction data collection respectively;
For the detector of each section in step c14, obtain traffic flow and speed in each sampling interval, specifically include:
C141, acquisition traffic flow parameter;
By the vehicle number of section in each sampling interval;
qi(k)=ni(k)
In formula: i-th section section in i road network;
The k kth sampling interval;
qiThe traffic flow of (k) kth sampling interval i-th section section;
niThe vehicle number passed through on the section of (k) kth sampling interval i-th section;
C142, acquisition traffic speed parameter;
In each sampling interval, average speed is namely by the average speed of all vehicles of detection equipment;
v i ( k ) = Σ j = 1 n i ( k ) v i j ( k ) q i ( k )
In formula: viThe average speed of (k) kth sampling interval i-th section vehicle;
vijSpeed when jth car is by detection equipment on () kth sampling interval i-th section k;
Traffic flow and the speed of the step c15 each section section to obtaining in step c14 process, and obtain transport usefulness and the road network average speed of road network, specifically include:
C151, calculate the transport usefulness in each section;
So-called transport usefulness, refers to the total kilometrage that in the unit interval, in network traffic flow, all vehicles travel, and the transport usefulness in each section can calculate with following formula, it may be assumed that
pi(k)=(q'i(k)+q"i(k))��li
In formula: pi(k) i-th section transport usefulness within the kth sampling interval;
q'i(k)��q��iThe flow of (k) respectively section up direction and down direction;
liThe length in i-th section;
C152, calculate road network transport usefulness;
Road network transport usefulness is the summation of each section transport usefulness, it may be assumed that
P ( k ) = Σ i = 1 n p i ( k )
C153, calculate road network average speed;
The average speed of road network takes the weighted mean of section speed, it may be assumed that
V ( k ) = Σ i = 1 n S i ( k ) v i ( k ) l i Σ i = 1 n S i ( k ) l i
In formula: road network average stroke speed in V (k) the kth sampling interval;
SiThe degree of loading of section unit i, dimensionless in (k) kth sampling interval;
liThe length of section unit i;
viThe average speed of section unit i in (k) kth sampling interval;
The degree of loading following formula of section unit calculates, it may be assumed that
Si(k)=12qi(k)/Ci
In formula: CiThe design capacity of section unit i, veh/h, can obtain from On Road Planning And Design department;
C16 to gathering data with the period before and after traffic measure or policy execution and processing, obtains correction data collection respectively; Specifically include:
C161, for each transport Potency data P (k), have a corresponding road network in fortune vehicle number N (k)=�� q (k), represent with (N (k), P (k)); Arrange the data set obtaining obtaining with the period before and after traffic measure or policy execution respectively, it may be assumed that
{(N(1),P(1)),(N(2),P(2)),(N(3),P(3))......(N(j),P(j))}
(N'(1), P'(1)), (N'(2), P'(2)), (N'(3), P'(3)) ... (N'(j), P'(j))
C162, for each road network average speed data V (k), have a corresponding road network in fortune vehicle number N (k)=�� q (k), represent with (N (k), V (k)); Arrange the data set obtaining obtaining with the period before and after traffic measure or policy execution respectively, it may be assumed that
{(N(1),V(1)),(N(2),V(2)),(N(3),V(3))......(N(j),Vj)}
{(N'(1),V'(1)),(N'(2),V'(2)),(N'(3),V'(3))......(N'(j),V'(j))}��
3. the road network traffic efficiency rate of change computational methods towards traffic administration person according to claim 1, it is characterized in that: road network average travel speed and road network are transported usefulness by road network driving vehicle number packet transaction by step c2, calculate road network average travel speed and road network transport usefulness rate of change that under different management and control scheme, different transport need intervals are corresponding respectively, so reject the transport need impact on index; Detailed process includes:
C21, to road network average travel speed, road network transport usefulness press road network driving vehicle number packet transaction;
C22, the respectively road network calculated under two schemes transport the rate of change of usefulness, road network average speed;
C21 step specifically includes:
C211, general's transport usefulness data set packet, packet group number and group are from being determined by below equation, it may be assumed that
K=1+3.322lgj
l = m a x ( N j , N ′ j ) - m i n ( N j , N ′ j ) 1 + 3.3 lg j
In formula: K packet group number;
J transports usefulness data amount check;
L interval size;
max(Nj,N'j)��min(Nj,N'j) two issues in control time interval are according to maximum and the minima of concentrating road network vehicle number;
After c212, rejecting packet, some scheme data are empty packet, if namely scheme one data set or scheme two data set drop on the data in certain packet k for empty, then reject other data of this packet;
C22 step specifically includes:
C221, each protocol collection is processed after grouped data, characterize the operational efficiency in this transport need with the arithmetic mean of instantaneous value often organizing data; Road network in kth vehicle number interval transports usefulness and road network average speed computing formula is:
P ‾ k = 1 m Σ i = 1 m P k i
v ‾ k = 1 m Σ i = 1 m v k i
In formula:The transport usefulness data mean value of kth group data;
The data amount check of m kth group data;
PkiRoad network corresponding to the i-th point transport usefulness of kth group;
The road network average speed average of kth group data;
vkiThe road network average speed corresponding to i-th point of kth group;
C222, the transport usefulness variable quantity calculating two schemes and average speed variable quantity;
For road network, represent front and back two sleeve pipe prosecutor case with 1 and 2 respectively, with the midvalue of class i.e. vehicle number intermediate value of this group up-and-down boundary of place packet for weight, calculate at the variable quantity of the interval transport usefulness of all transport needs and average speed variable quantity, it may be assumed that
ΔP k = Σ k = 1 K ( P ‾ k 2 - P ‾ k 1 ) · N k Σ k = 1 K N k
Δv k = Σ k = 1 K ( v ‾ k 2 - v ‾ k 1 ) · N k Σ k = 1 K N k
In formula: NkThe flow N of kth groupjMidvalue of class, the i.e. intermediate value of flow up-and-down boundary;
C223, the transport usefulness rate of change calculated under different grouping and average speed rate of change;
What step c221 obtained is the absolute value of change, draws rate of change compared with a upper phase reference value, it may be assumed that
ξ k p = ΔP k P ‾ k 1
ζ k v = Δv k v ‾ k 1
In formula:The multi-transportation usefulness rate of change of road network;
The average of the kth group multi-transportation Potency data of scheme one data;
Average speed rate of change;
The average of the kth group average speed data of scheme one data.
4. the road network traffic efficiency rate of change computational methods towards traffic administration person according to claim 1, it is characterized in that: the comprehensive rate of change of packet chosen in step c3 considers transport usefulness peace all speed, utilize intermediate value in transport need group to run vehicle number eigenvalue as the road network in this interval, and determined weight coefficient by road network average speed and road network free stream velocity; Detailed process includes:
C31, definition road network traffic efficiency are grouped comprehensive rate of change, consider the impact of different transport need, it is proposed to road network traffic efficiency is grouped comprehensive rate of change, it may be assumed that
In formula:Section overall efficiency rate of change;
Section multi-transportation usefulness rate of change;
Road average-speed rate of change;
��kThe weight coefficient of multi-transportation usefulness rate of change and Road average-speed rate of change;
C32, road network free stream velocity determination;
Urban road free stream velocity takes the speed limit in this section, and the free stream velocity of road network is the weighted mean of each section free stream velocity, it may be assumed that
v f = Σ i = 1 n ( v f i · l i ) Σl i
In formula: vfThe free stream velocity of road network;
vfiThe free stream velocity in i-th section in road network;
Total number in section in n road network;
C33, weight coefficient �� determination;
Weight coefficient �� is determined by road network average speed V and road network free stream velocity, it may be assumed that
θ k = 1 - 1 1 + e - b ( V k - v f 2 )
Wherein:
b = - 2 * l n 0.00125 v f .
5. the road network traffic efficiency rate of change computational methods towards traffic administration person according to claim 1, it is characterized in that: in step c4, it is grouped comprehensive rate of change, it is determined that management and control scheme implements the result of calculation of the front and back comprehensive rate of change of road network traffic efficiency according to road network traffic efficiency;Detailed process includes:
Transport need for road network is interval, utilizes interval intermediate value NkAs the transport need eigenvalue in this interval, and as the comprehensive rate of change within the scope of the whole transport need of weight calculation, compare the traffic efficiency of different schemes; Scheme two relative to the comprehensive rate of change of the traffic efficiency of scheme one is:
The rate of change drawn on the occasion of, illustrate that road network operational efficiency is promoted, rate of change is negative value, illustrates that operational efficiency declines.
CN201610040801.XA 2016-01-21 2016-01-21 Road network passing efficiency change rate calculation method facing traffic manager Active CN105654415B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610040801.XA CN105654415B (en) 2016-01-21 2016-01-21 Road network passing efficiency change rate calculation method facing traffic manager

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610040801.XA CN105654415B (en) 2016-01-21 2016-01-21 Road network passing efficiency change rate calculation method facing traffic manager

Publications (2)

Publication Number Publication Date
CN105654415A true CN105654415A (en) 2016-06-08
CN105654415B CN105654415B (en) 2017-04-12

Family

ID=56486730

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610040801.XA Active CN105654415B (en) 2016-01-21 2016-01-21 Road network passing efficiency change rate calculation method facing traffic manager

Country Status (1)

Country Link
CN (1) CN105654415B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106652442A (en) * 2016-10-14 2017-05-10 北京交通发展研究中心 General control model for demand regulation and building method and application thereof
CN106991816A (en) * 2017-05-23 2017-07-28 招商局重庆交通科研设计院有限公司 Road traffic flow evaluation method
CN107248298A (en) * 2017-05-23 2017-10-13 招商局重庆交通科研设计院有限公司 Road traffic control method based on traffic flow modes
CN109993215A (en) * 2019-03-08 2019-07-09 浙江大学 A kind of flexible restricted driving management method based on traffic big data

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101710448A (en) * 2009-12-29 2010-05-19 浙江工业大学 Road traffic state detecting device based on omnibearing computer vision
CN103632537A (en) * 2013-12-09 2014-03-12 安徽科力信息产业有限责任公司 Floating car based urban road AADT (annual average daily traffic) estimation method
CN103761138A (en) * 2014-01-16 2014-04-30 昆明理工大学 Parameter correction method for traffic simulation software

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101710448A (en) * 2009-12-29 2010-05-19 浙江工业大学 Road traffic state detecting device based on omnibearing computer vision
CN103632537A (en) * 2013-12-09 2014-03-12 安徽科力信息产业有限责任公司 Floating car based urban road AADT (annual average daily traffic) estimation method
CN103761138A (en) * 2014-01-16 2014-04-30 昆明理工大学 Parameter correction method for traffic simulation software

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
吴月: "北京市交通协同管控的若干问题研究", 《中国优秀硕士学位论文全文库》 *
魏立夏: "城市路网交通运行效率评估研究", 《中国优秀硕士学位论文全文库》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106652442A (en) * 2016-10-14 2017-05-10 北京交通发展研究中心 General control model for demand regulation and building method and application thereof
CN106652442B (en) * 2016-10-14 2019-03-12 北京交通发展研究院 The general Controlling model and its method for building up of demand regulation and application
CN106991816A (en) * 2017-05-23 2017-07-28 招商局重庆交通科研设计院有限公司 Road traffic flow evaluation method
CN107248298A (en) * 2017-05-23 2017-10-13 招商局重庆交通科研设计院有限公司 Road traffic control method based on traffic flow modes
CN107248298B (en) * 2017-05-23 2020-04-24 招商局重庆交通科研设计院有限公司 Road traffic control method based on traffic flow state
CN109993215A (en) * 2019-03-08 2019-07-09 浙江大学 A kind of flexible restricted driving management method based on traffic big data
CN109993215B (en) * 2019-03-08 2021-08-24 浙江大学 Route guidance method based on traffic big data

Also Published As

Publication number Publication date
CN105654415B (en) 2017-04-12

Similar Documents

Publication Publication Date Title
CN108629974B (en) Traffic operation index establishing method considering urban road traffic network characteristics
CN104464321B (en) Intelligent traffic guidance method based on traffic performance index development trend
CN104484996B (en) Road segment traffic state distinguishing method based on multi-source data
CN103021176B (en) Discriminating method based on section detector for urban traffic state
CN104021671B (en) The determination methods of the road real-time road that a kind of svm combines with fuzzy Judgment
CN106940829B (en) Personalized path recommendation method in Internet of vehicles environment
CN104751631B (en) The method that Trip chain mode of transportation is judged based on GPS location and fuzzy theory
CN106327871B (en) A kind of crowded prediction technique of highway of fusion historical data and reservation data
CN104484994B (en) Urban road network traffic based on array radar runs index number evaluation method
CN102087788B (en) Method for estimating traffic state parameter based on confidence of speed of float car
CN105654415A (en) Road network passing efficiency change rate calculation method facing traffic manager
CN103761430B (en) A kind of road network peak period recognition methods based on Floating Car
WO2019047905A1 (en) Road traffic analysis system, method and apparatus
CN103198658B (en) Urban road traffic state non-equilibrium degree detection method
CN104517040B (en) One kind is based on IC-card data public transit vehicle in-car degree of crowding computational methods
CN107248283A (en) A kind of urban area road network evaluation of running status method of consideration section criticality
CN105355049B (en) A kind of highway evaluation of running status method based on macroscopical parent map
CN105070056A (en) Intersection traffic congestion index calculation method based on floating car
CN107123260A (en) Method of traffic assignment based on traveler budget limit
CN104408925A (en) Array radar based intersection running state evaluation method
CN105139645A (en) Urban regional road network operation index assessment method based on floating car technology
CN109147329A (en) Regional traffic operating status index based on the traffic capacity calculates and method for visualizing
CN101783074A (en) Method and system for real-time distinguishing traffic flow state of urban road
CN107833459A (en) A kind of city bus operation conditions evaluation method based on gps data
CN105608895B (en) A kind of urban traffic blocking section detecting method based on local outlier factor

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant