CN103824450B - Based on the large-scale activity Special running layout of roads method of traffic behavior rule - Google Patents
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Abstract
The present invention relates to a kind of large-scale activity Special running layout of roads method based on traffic behavior rule, the transport information extraction system gathered is utilized to carry out degree of depth excavation to the traffic data collected, extraction obtains Regional Road Network traffic behavior rule, and is imported driving route algorithms library; Driving route algorithms library generates index using traffic behavior rule as circuit, adopts the brief searching algorithm of multi-layer built to carry out feasible driving route hierarchical search to the terminus planned in road network; Using journey time, the degree of crowding, safe coefficient etc. as can row line evaluation index, carrying out comprehensive evaluation by building many driving routes of model to primary election, determining large-scale activity Special running circuit according to the sequence of comprehensive evaluation value.The present invention can make full use of the traffic base data of magnanimity, can be that rationally effective driving route is formulated in all kinds of large-scale activity, decrease the special traffic of large-scale activity to the interference of the daily traffic in city, and effectively reduce the traffic route rise time.
Description
Technical field
The present invention relates to a kind of be conducive to reduce large-scale activity to the large-scale activity Special running layout of roads method of the daily Coherent traffic noise in city, belong to information technology application and intelligent transport system field.
Background technology
Along with the continuous prosperity and development of China's economy, improving constantly of people's living standard, the large-scale activity being representative with physical culture, culture, exhibitions etc. is day by day frequent, as Beijing Olympic Games, Shanghai World's Fair, the Guangzhou Asian Games etc.Although large-scale activity hold the influence power that can promote city, promote regional economy social development, enrich civic material and cultural life, but the concentrated trip in the short-term that activity causes during holding brings immense pressure often to originally just very nervous Traffic Systems.For guaranteeing that the period safety of Traffic Systems and unimpeded is held in large-scale activity, and reduce large-scale activity to the impact of the normal productive life in city as far as possible, by convention, be solve trip because large-scale activity causes by arranging dedicated Lanes (being namely large-scale activity special-purpose vehicle is interim and be set using track in city road network).
The object that special lane is arranged solves large-scale activity Olympic Family Members trip and large-scale activity spectators trip, ensures that they can quick, comfortable, safe, reliable, reaching on the time competition gymnasiums and stadiums.Whether the reasonable setting of large-scale activity Special running circuit directly affects holding smoothly of large-scale activity.At present, large-scale activity Special running circuit, mainly according to qualitative analysis or formulate corresponding principle and determine, lays particular emphasis on the evaluation of driving route, not yet has the first choosing method of the feasible driving route of the large-scale activity of quantification; And existing method does not take into full account the impact how reduced city normal traffic.Therefore, in the large-scale activity traffic organization planning in future, be necessary to propose one more rationally effective large-scale activity Special running layout of roads method.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of large-scale activity driving route planing method based on traffic behavior rule, overcome feasible driving route in existing method cannot quantification planning, effectively cannot reduce the deficiency of the interference to the daily traffic in city.
The present invention solves the problems of the technologies described above by the following technical solutions, specifically comprises the steps:
Step 1: utilize video, Floating Car, flow detection device to gather average speed, saturation degree, crossing mean delay and traffic flow information on road, and the traffic data collected is sent to transport information extraction system;
Step 2: transport information extraction system carries out degree of depth excavation to the traffic data collected, extracts and obtains Regional Road Network traffic behavior rule, and imported driving route algorithms library;
Step 3: using traffic behavior rule as row line generating index, the terminus of driving route algorithms library to planning carries out path hierarchical search, if system-wide section unimpeded circuit search layer finds the feasible driving route satisfied condition, then searches for stopping; If do not meet the demands, then enter time crowded circuit search layer, until search obtains many satisfied feasible driving routes;
Step 4: using journey time, the degree of crowding, safe coefficient, on the way view as can row line evaluation index, carrying out comprehensive evaluation by building many driving routes of model to primary election, determining large-scale activity Special running circuit according to the sequence of comprehensive evaluation value.
The advantage of this method is: based on quiet, the dynamic information that front-end equipment collects, introduce the extraction of transport information extractive technique and obtain Regional Road Network traffic behavior rule, it can be used as the generation of large-scale activity Special running circuit and the index of evaluation, comprehensive evaluation is carried out to many driving routes of initial search, finally determines large-scale activity Special running circuit.The present invention can make full use of the traffic base data of magnanimity, can be that rationally effective driving route is formulated in all kinds of large-scale activity, decrease the special traffic of large-scale activity to the interference of the daily traffic in city, and effectively reduce the traffic route rise time.
Accompanying drawing explanation
The present invention is described in further detail in conjunction with the embodiments with reference to the accompanying drawings.
Fig. 1 is the system framework figure of large-scale activity Special running layout of roads method of the present invention
Fig. 2 is Regional Road Network traffic behavior the form of the rules process flow diagram of the present invention
Fig. 3 is the brief searching algorithm process flow diagram of a kind of multi-layer based on congested in traffic degree of the present invention
Fig. 4 is the feasible driving route assessment indicator system that preliminary screening of the present invention goes out
Embodiment
The present invention solves the problems of the technologies described above by the following technical solutions, specifically comprises the steps:
Step 1: utilize the equipment such as video, Floating Car, flow detection to gather average speed, saturation degree, crossing mean delay and traffic flow information on typical road, and the traffic data collected is sent to transport information extraction system;
Step 2: the section that transport information extraction system collects front-end equipment and intersection traffic data carry out degree of depth excavation, extracts and obtains Regional Road Network traffic behavior rule, and imported driving route algorithms library;
Step 3: using traffic behavior rule as row line generating index, the terminus of driving route algorithms library to planning carries out path hierarchical search, if system-wide section unimpeded circuit search layer finds the feasible driving route satisfied condition, then searches for stopping; If do not meet the demands, then enter time crowded circuit search layer, until search obtains many satisfied feasible driving routes;
Step 4: using journey time, the degree of crowding, safe coefficient, on the way view as can row line evaluation index, carrying out comprehensive evaluation by building many driving routes of model to primary election, determining large-scale activity Special running circuit according to the sequence of comprehensive evaluation value.
Fig. 1 is the system framework figure of the large-scale activity Special running layout of roads method based on traffic behavior rule of the present invention, illustrate in detail four parts of the large-scale activity Special running layout of roads system based on traffic behavior rule.What Part I carried out is based on front-end equipment traffic data sampling at times, differentiates Regional Road Network traffic behavior; What Part II carried out is to Regional Road Network traffic behavior Rule Extraction; What Part III carried out is call region road net traffic state rule index, and search obtains many feasible driving routes; What Part IV carried out is build model to row line carrying out comprehensive evaluation, realizes the large-scale activity Special running layout of roads of system.
Fig. 2 is Regional Road Network traffic behavior the form of the rules process flow diagram of the present invention.Forming process is: the traffic behavior differentiating the complete section of traffic data based on fuzzy set; Based on rough set theory, traffic behavior Rule Extraction is carried out to section typical in urban road network (through street, major trunk roads and subsidiary road), matching formation rule collection, for differentiating the traffic behavior in traffic data vacuum section; Form whole Regional Road Network traffic behavior through twice differentiation, then differentiate the time interval by dividing, carry out matching with integrated to Regional Road Network traffic behavior, further extraction obtains road net traffic state rule.
Fig. 3 is the brief feasible driving route searching algorithm process flow diagram of a kind of multi-layer based on congested in traffic degree of the present invention.Preliminary screening is carried out by building the feasible driving route of the brief searching algorithm of multi-layer to road network.Wherein, every layer all differentiates using congested in traffic degree as the first order, does the second level differentiate with the number of journey time and searching of line for constraint condition.The brief searching algorithm of multi-layer is totally divided into four layers, and every layer of Search Results is as the object of lower data process.
Ground floor is the unimpeded circuit search of system-wide section, and each section of the driving route namely searched out composition is unimpeded, can obtain all unimpeded sections in whole road network by ground floor search; The second layer is the slight crowded circuit search of part way, and the circuit namely searched out composition part way traffic behavior, for slightly crowded, load the unimpeded section of ground floor search simultaneously, forms feasible driving route; Third layer is the crowded circuit search of part way, and above two-layer Search Results basis, searches for the crowded section of highway in road network; 4th layer is the search of part way plugged line, based on three first layers Search Results, sets up feasible driving route to after the search of blocking section.
Concrete steps are as follows:
Step 1: choose with reference to setting out moment t as initial time input system, the unimpeded circuit search module access of system-wide section.First all unimpeded sections in road network are searched for
wherein
be i-th layer of jth bar road section traffic volume state value searched out from road network, namely the quantitative assignment in unimpeded section is 1; Enter first time differentiation, in all unimpeded sections, search out the feasible driving route from origin-to-destination, show if each road section traffic volume state of circuit meets expression
wherein
for the system-wide section unimpeded driving route traffic behavior calculated value of ground floor search,
be i-th layer of l article of feasible driving route searched out; L is every layer and searches out qualified feasible driving route total number; Namely the m searched out
1the traffic behavior in each section of bar driving route is unimpeded, then enter step 2; If cannot meet, enter step 3.
Step 2: second time is carried out to the unimpeded driving route of system-wide section and differentiates.If every bar driving route meets starting point O to terminal D total travel time and is less than or equal to and maximumly stands the time, namely
and the driving route number m searched out
1wherein, M is the driving route higher limit that initial search goes out to>=M(, and concrete number can be decided in its sole discretion according to demand), then stop search, directly enter step 4; If cannot meet, enter step 3.
Wherein, follow starting point arrives that destination is maximum stands journey time t
maxthreshold value setting, can be defined as 1.2 ~ 1.5 times of the normal pass time of circuit, or large-scale activity specifies the upper limit of time of arrival, and its value of different terminus arranges not identical; Each Link Travel Time is link travel time and intersection delay sum, and computing formula as the formula (1); Every bar driving route journey time T
oDfor each Link Travel Time sum, computing formula as the formula (2).
In formula,
it is a jth Link Travel Time of l article of feasible driving route;
for the running time in section;
for the vehicles average delay on a jth section Adjacent Intersections entrance driveway, Robert Webster formulae discovery can be adopted to try to achieve;
it is the total travel time of l article of feasible driving route; k
lit is the maximum numbering in the section that l article of feasible driving route comprises.
Step 3: the slight crowded driving route of second layer part way differentiates.If ground floor cannot search out a unimpeded driving route of system-wide section or have qualified driving route only quantitatively not reach requirement (m
1<M), then access second layer part way slight crowded driving route module, search out in road network equally all road section traffic volume states for slightly crowded (
) after, be that (namely circuit meets first order criterion with traffic behavior
with journey time and driving route quantity for second level criterion (namely
and m
1+ m
2>=M), if satisfy condition, then stop search, enter step 6; If cannot satisfy condition, enter step 4.
Step 4: the crowded driving route of third layer part way differentiates.In search road network all traffic behaviors be crowded section (namely
), carry out respectively first order differentiation (
) and second level differentiation (
and m
1+ m
2+ m
3>=M), if all satisfy condition, then stop search, enter step 6; If cannot satisfy condition, enter step 5.
Step 5: the 4th layer segment section blocking driving route differentiates.Search road network in all traffic behaviors be blocking section (namely
), carry out respectively first order differentiation (
) and second level differentiation (
and m
1+ m
2+ m
3+ m
4>=M), if all satisfy condition, then stop search, enter step 6; If cannot satisfy condition, enter step 7.
Step 6: many driving routes exporting preliminary screening.Wherein, except the feasible driving route meeting current layer condition will be exported, the feasible driving route that its front layer does not satisfy condition due to quantity to also be exported.
Step 7: four layers of search all cannot meet the demands, then with time interval Δ t, from the new adjustment moment, enter step 1, circulation enters next round search, until find eligible driving route.
Fig. 4 is the feasible driving route assessment indicator system that preliminary screening of the present invention goes out.Using road net traffic state rule as the coordinates measurement of feasible driving route and the index of evaluation, and based on AHP method, comprehensive evaluation is carried out to many of primary election feasible driving routes, determine large-scale activity Special running circuit.Concrete steps are as follows:
Step 1: the path attribute demand considering Olympic Family Members and spectators when holding large-scale activity, and the weight avoided choosing multi objective and reduce each index, choose journey time, the degree of crowding (extracting road section traffic volume state from road net traffic state rule), safe coefficient (according to section and intersection traffic accidents incidence tolerance), view (employing ten point system evaluation on the way, score value is higher, and view is better) four indexs build feasible driving route assessment indicator system (as Fig. 3).
Step 2: development of judgment matrix, determines each key element relative weighting.Index system is divided into destination layer, indicator layer and measuring and calculating layer tertiary structure (as Fig. 3), needs to set up two-stage judgment matrix to indicator layer and measuring and calculating layer.
1. indicator layer relative target layer weight is determined.According to the order that drivers preference degree declines gradually, index for selection is divided into 6 grades (" of the utmost importance ", " very important ", " important ", " slightly important ", " inessential ", " being indifferent to ") by relative importance, utilize (-2,2) EM subjective weighting method differentiates relative importance between two indices, the vectorial weights omega=(ω of parameter layer each Attribute Relative destination layer
1, ω
2, ω
3, ω
4).
2. calculate layer relative indicatrix layer weight to determine.To the evaluation information matrix (D=(d that road net traffic state rule provides
kn)
p × m, wherein, d is the actual value that different evaluation index obtains; Carry out index and estimate unified process, be converted to fresh information matrix and be designated as δ=(g
kn)
p × m; Transfer process as the formula (3), is namely converted to design objective the smaller the better, makes corresponding evaluation index maximal value and minimum value be respectively x
i-maxand x
i-min
(-2,2) EM subjective weighting method is adopted to calculate the relative weighting of each section attribute of the measuring and calculating each bar of layer feasible driving route relative target layer
i is 4 indexs, and L is the feasible driving route number that preliminary screening goes out.
Step 3:4 index relative target layer weight vectors is ω=(ω
1, ω
2, ω
3, ω
4), the weight of the feasible driving route relative indicatrix layer that preliminary screening goes out is
then the comprehensive evaluation value vector calculation formula of the feasible driving route of L bar is:
according to the maximal value in the comprehensive evaluation value vector calculated, determine special lane driving route.
The foregoing is only preferred embodiment of the present invention, all equalizations according to doing in the present patent application the scope of the claims change and modify, and all should belong to covering scope of the present invention.
Claims (4)
1., based on a large-scale activity Special running layout of roads method for traffic behavior rule, it is characterized in that: the method comprises the steps:
Step 1: utilize video, Floating Car, flow detection device to gather average speed, saturation degree, crossing mean delay and traffic flow information on road, and the traffic data collected is sent to transport information extraction system;
Step 2: transport information extraction system carries out degree of depth excavation to the traffic data collected, extracts and obtains Regional Road Network traffic behavior rule, and imported driving route algorithms library;
Step 3: using traffic behavior rule as row line generating index, the terminus of driving route algorithms library to planning carries out path hierarchical search, if system-wide section unimpeded circuit search layer finds the feasible driving route satisfied condition, then searches for stopping; If do not meet the demands, then enter time crowded circuit search layer, until search obtains many satisfied feasible driving routes;
Step 4: using journey time, the degree of crowding, safe coefficient, on the way view as can row line evaluation index, carrying out comprehensive evaluation by building many driving routes of model to primary election, determining large-scale activity Special running circuit according to the sequence of comprehensive evaluation value;
Described step 1 is specially further:
Utilize average speed v, the journey time t of the front-end equipment taken at regular intervals typical road in traffic information acquisition system, saturation degree s, crossing mean delay d and magnitude of traffic flow q information, obtain data acquisition u=<s, t, d, q>, and the traffic data collected is sent to transport information extraction system;
Described step 2 is specially further: the traffic behavior differentiating the complete section of traffic data based on fuzzy set; Based on rough set theory, traffic behavior Rule Extraction is carried out to through street, major trunk roads and subsidiary road in urban road network, matching formation rule collection, for differentiating the traffic behavior in traffic data vacuum section; Form whole Regional Road Network traffic behavior through twice differentiation, then differentiate the time interval by dividing, carry out matching with integrated to Regional Road Network traffic behavior, further extraction obtains road net traffic state rule.
2. the large-scale activity Special running layout of roads method based on traffic behavior rule according to claim 1, it is characterized in that: described step 3 is specially further: carry out preliminary screening by building the feasible driving route of the brief searching algorithm of multi-layer to road network, wherein, every layer all differentiates using congested in traffic degree as the first order, does the second level differentiate with the number of journey time and searching of line for constraint condition; The brief searching algorithm of multi-layer is totally divided into four layers, requires that differentiation process is as follows:
Ground floor is the unimpeded circuit search of system-wide section, and each section of the driving route namely searched out composition is unimpeded, and can obtain all unimpeded sections in whole road network by ground floor search, second order discriminant condition is as follows:
The first order differentiates: unimpeded section:
wherein,
be i-th layer of jth bar road section traffic volume state value searched out from road network, namely the quantitative assignment in unimpeded section is 1; The unimpeded circuit of system-wide section:
wherein
for the system-wide section unimpeded driving route traffic behavior calculated value of ground floor search,
be i-th layer of l article of feasible driving route searched out; L is every layer and searches out qualified feasible driving route total number;
The second level differentiates:
and m
1>=M; T
oDfor starting point O to terminal D total travel time, M is the driving route higher limit that initial search goes out;
The second layer is the slight crowded circuit search of part way, and the circuit namely searched out composition part way traffic behavior is for slightly crowded, and load the unimpeded section of ground floor search, form feasible driving route, second order discriminant condition is as follows simultaneously:
The first order differentiates: slight crowded section of highway:
slight crowded circuit:
The second level differentiates:
and m
1+ m
2>=M;
Third layer is the crowded circuit search of part way, above two-layer Search Results basis, and search for the crowded section of highway in road network, second order discriminant condition is as follows:
The first order differentiates: crowded section of highway:
crowded circuit:
The second level differentiates:
and m
1+ m
2+ m
3>=M;
4th layer is the search of part way plugged line, and based on three first layers Search Results, set up feasible driving route to after the search of blocking section, second order discriminant condition is as follows:
The first order differentiates: blocking section:
plugged line:
The second level differentiates:
and m
1+ m
2+ m
3+ m
4>=M;
Wherein,
be the total travel time of l article of feasible driving route, t
maxin order to arrive from starting point, destination is maximum stands journey time.
3. the large-scale activity Special running layout of roads method based on traffic behavior rule according to claim 2, is characterized in that: follow starting point arrives that destination is maximum stands journey time t
maxthreshold value setting, be defined as 1.2 ~ 1.5 times of the normal pass time of circuit, or large-scale activity specifies the upper limit of time of arrival, and its value of different terminus arranges not identical; Each Link Travel Time is link travel time and intersection delay sum; Every bar driving route journey time T
oDfor each Link Travel Time sum;
Each Link Travel Time:
Every bar driving route journey time:
In formula,
it is a jth Link Travel Time of l article of feasible driving route;
for the running time in section;
for the vehicles average delay on a jth section Adjacent Intersections entrance driveway, Robert Webster formulae discovery can be adopted to try to achieve;
it is the total travel time of l article of feasible driving route; k
lit is the maximum numbering in the section that l article of feasible driving route comprises.
4. the large-scale activity Special running layout of roads method based on traffic behavior rule according to claim 2, it is characterized in that: described step 4 is specially further: choose journey time, the degree of crowding, safe coefficient, on the way view four indexs build feasible driving route assessment indicator system, and based on AHP method, comprehensive evaluation is carried out to many of primary election feasible driving routes, determine large-scale activity Special running circuit; Wherein:
The degree of crowding: extract road section traffic volume state from road net traffic state rule;
Safe coefficient: according to section and intersection traffic accidents incidence tolerance, the number of times that namely every kilometer has an accident in observation time;
View on the way: adopt ten point system evaluation, score value is higher, and view is better.
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Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107368482A (en) * | 2016-05-11 | 2017-11-21 | 高德信息技术有限公司 | Bus routes scalping method and device |
| CN105956167A (en) * | 2016-05-19 | 2016-09-21 | 北京理工大学 | Dinner party place intelligent recommendation method and system |
| CN107067717B (en) * | 2016-11-30 | 2019-10-11 | 北京掌行通信息技术有限公司 | A kind of determining target ensures the method and server in section |
| CN107134136A (en) * | 2017-01-23 | 2017-09-05 | 北京博研智通科技有限公司 | The method and system that road traffic congestion degree sorts between a kind of city |
| CN108765956B (en) * | 2018-06-14 | 2020-12-08 | 广东工业大学 | Comprehensive evaluation method for traffic state of highway |
| CN108846597A (en) * | 2018-09-06 | 2018-11-20 | 上海市测绘院 | A kind of transport hub evaluation method towards TOD construction |
| CN110768819B (en) * | 2018-12-03 | 2023-03-24 | 北京嘀嘀无限科技发展有限公司 | Generation method, planning method, device, terminal and readable storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101895358A (en) * | 2010-06-24 | 2010-11-24 | 北京世纪高通科技有限公司 | Method and system for distributing traffic information |
| CN103115626A (en) * | 2013-02-07 | 2013-05-22 | 上海雷腾软件有限公司 | Method, device and equipment for calculating congestion information and navigating based on congestion information |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2636027A1 (en) * | 2010-11-05 | 2013-09-11 | Activ8VPS Limited | System and method for implementing an exception to a parking restriction |
-
2014
- 2014-03-20 CN CN201410104446.9A patent/CN103824450B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101895358A (en) * | 2010-06-24 | 2010-11-24 | 北京世纪高通科技有限公司 | Method and system for distributing traffic information |
| CN103115626A (en) * | 2013-02-07 | 2013-05-22 | 上海雷腾软件有限公司 | Method, device and equipment for calculating congestion information and navigating based on congestion information |
Non-Patent Citations (7)
| Title |
|---|
| Heuristic for lane reservation problem in time constrained transportation;Wu YF Et al.;《5th Annual IEEE Conference on Automation Science and Engineering》;20090825;第543-548页 * |
| Transportation Modeling for the 2010 Winter Olympic Games;Joshi C Et al.;《2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA-TRANSPORTATION IN A CLIMATE OF CHANGE》;20091231;正文第1-20页 * |
| 北京奥运公交专线规划及评价方法;姚广铮等;《城市交通》;20080531;第6卷(第3期);第29-34页 * |
| 基于信息提取的动态OD矩阵估计;许乃星;《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》;20120515(第05期);正文第26-34页 * |
| 大型活动交通组织管理关键技术研究;崔洪军;《中国优秀博硕士学位论文全文数据库 (博士)工程科技Ⅱ辑 》;20070415(第04期);正文1-167页 * |
| 大型运动会专用道设置的交通规划模型;吴瀛峰等;《工业工程》;20091215;第12卷(第6期);第96-100页 * |
| 面向驾驶员个性化需求的动态路径诱导方法;龙琼等;《中南大学学报(自然科学版)》;20130526;第44卷(第5期);第2124-2129页 * |
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Address after: 350108 No.1, Gaoxin Avenue, high tech Zone, Minhou County, Fuzhou City, Fujian Province Patentee after: Fuzhou planning and Design Institute Group Co.,Ltd. Address before: No. 188, Hudong Road, Fuzhou, Fujian 350003 Patentee before: FUZHOU PLANNING DESIGN & Research Institute |