CN202075862U - System for predicting and controlling freeway traffic accident influence - Google Patents
System for predicting and controlling freeway traffic accident influence Download PDFInfo
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- CN202075862U CN202075862U CN2011200844149U CN201120084414U CN202075862U CN 202075862 U CN202075862 U CN 202075862U CN 2011200844149 U CN2011200844149 U CN 2011200844149U CN 201120084414 U CN201120084414 U CN 201120084414U CN 202075862 U CN202075862 U CN 202075862U
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Abstract
The utility model discloses a system for predicting and controlling a freeway traffic accident influence, and the system comprises a traffic accident information module, an accident influence predicting module, a traffic organization prearranged planning module, a traffic simulation module and an evaluation and decision module which are sequentially connected. In the system for predicting and controlling the freeway traffic accident influence, the accident influences and traffic organizations are organically combined, a traffic accident influence range is subjected to reasonable and scientific traffic organization, so that the traffic organization is more targeted, accident loss is greatly lowered, and queuing delay is reduced.
Description
Technical field
The utility model relates to the Modern Transportation Technology field, and especially traffic accidents impact prediction and control field under the road network environment relate to a kind of traffic accidents impact prediction and control system specifically.
Background technology
Traffic accidents randomness is strong, the accident earthquake intensity is big, loss is serious, if can not handle timely and effectively after accident, the control accident impact spreads, and causes second accident probably, cause more serious harm, the road that involves whole relevant road network, at present, the main traffic-police's manpower that relies on is dredged and is controlled after accident, manpower is limited, and the unavoidable error of decision-making, thereby inevitably bring a series of problems, and cause more serious traffic congestion even accident.
List of references:
[1] Wang Jianjun. the highway wagon flow wave analysis [J] under traffic events and the intervention effect influence. Traffic Institutes Of Chongqing's journal, 2006.12,25 (6), P104～107
[2] Wang Jianjun, week is big. and traffic accidents and interference wagon flow mode are intended theoretical research [J] under the linear model. Xian Road Communication Univ.'s journal, 1998.7, P283～289
[3] Wang Jianjun. traffic accidents prevention and crowded the improvement are studied [M]. Xian Road Communication Univ., 1999.6, P40～57
[4] Xiong Zhihua. road net journey time reliability basic theory and method research [D]. Beijing Jiaotong University, 2006
[5] Zheng Jianfeng. the relation research [D] that traffic flow and regional space are got in touch. Chang An University, 2006
[6]Sheu?JB，Chou?YH.Stochastic?model?ing?and?real-time?prediction?of?incident?effects?on?surface?street?traffic?congestion[J].Applied?Mathematical?Modeling，28(2004)：445～468
[7]Wirashinghe?S?C.Determination?of?traffic?delays?from?shockwave?analysis[J].Transportation?Research，1978：343～348
[8] Liu Weiming, Guan Liping, Yin Xiangyuan. based on the highway time remaining time prediction [J] of decision tree. Chinese highway journal, 2005.1,18 (1), P99～103
[9] Zheng Lili etc. the fuzzy prediction of freeway traffic event queue length [C]. first traffic forum of Tongji University collection of thesis, Shanghai, 2004:70～77
The utility model content
Technical problem to be solved in the utility model is at the deficiencies in the prior art, and a kind of traffic accidents impact prediction and control system are provided, and handles traffic accidents fast, effectively, intelligently.Adopt following technical scheme:
A kind of traffic accidents impact prediction and control system comprise the traffic accident information module, accident impact prediction module, traffic organization prediction scheme module, traffic simulation module and the evaluation and decision module that connect successively; Described traffic accident information module is used for obtaining accident information data and weather, visibility, spot, real-time traffic amount, traffic capacity information from the outside, is stored in the system backstage; Described accident impact prediction module comprises accident predicting unit time delay, accident macroscopic effects scope predicting unit and accident microcosmic coverage predicting unit; Described accident predicting unit time delay is utilized described accident information data, according to decision tree theoretical prediction accident time delay; Described accident macroscopic effects scope predicting unit is used for calculating the coverage that traffic hazard causes road network according to accident information data and existing theoretical model, and coverage is divided into protected location, control zone and three districts of buffer zone; Described accident microcosmic coverage predicting unit is used for calculating maximum queue length, the maximum queuing moment and the duration of fault that the highway section takes place accident according to wagon flow wave pattern under accident information data and the traffic accidents; Described traffic organization prediction scheme module is utilized traffic organization prediction scheme storehouse, according to optimum traffic organization prediction scheme in described protected location, described control zone and described buffer zone, described duration of fault, described maximum queue length, the described maximum queuing moment, weather, visibility, spot, real-time traffic amount, the traffic capacity information matches traffic organization prediction scheme storehouse; Described traffic simulation module is used for the described optimum traffic organization prediction scheme of emulation, draws queue length data and queuing delay data; Queue length data and queuing delay data that described evaluation and decision module is used for the traffic simulation modular simulation is drawn compare with the corresponding parameter of not taking optimum traffic organization prediction scheme to cause, estimate the validity of carrying out the traffic organization strategy.
Described traffic accidents impact prediction and control system, comprise that is also upgraded a road network information module, be connected with described traffic accident information module, be used for adding and the information of editing relevant road to described traffic accident information module by user oneself according to actual needs.
Described traffic accidents impact prediction and control system, described traffic organization prediction scheme module comprises a traffic organization prediction scheme storehouse, described traffic organization prediction scheme library storage the general road section traffic volume accident of road network highway arranged side by side emergency traffic organize prediction scheme, high speed loop wire and the general road section traffic volume accident of radioactive ray road network loop wire emergency traffic are organized prediction scheme, high speed loop wire and the general road section traffic volume accident of radioactive ray road network ray emergency traffic are organized prediction scheme, road network highway long downslope traffic hazard emergency traffic is organized prediction scheme side by side, the general traffic hazard emergency traffic of short tunnel is organized prediction scheme in two-way pair of hole of highway, two-way pair of hole of highway short-and-medium tunnel fire hazard accident emergency traffic is organized prediction scheme, long and the general traffic hazard emergency traffic of super long tunnel in two-way pair of hole of highway is organized prediction scheme, two-way pair of hole length of highway and super long tunnel fire failure emergency traffic are organized prediction scheme, the general traffic hazard emergency traffic of short tunnel is organized prediction scheme in unidirectional pair of hole of highway, unidirectional pair of hole of highway short-and-medium tunnel fire hazard accident emergency traffic is organized prediction scheme, highway interchange main line traffic hazard emergency traffic is organized prediction scheme, highway interchange ring road traffic hazard emergency traffic is organized prediction scheme, the general road section traffic volume accident of greasy weather road network highway arranged side by side emergency traffic is organized prediction scheme, the general road section traffic volume accident of sleet sky road network highway arranged side by side emergency traffic is organized prediction scheme, prediction scheme is promptly organized in greasy weather road network highway arranged side by side long downslope traffic hazard, road network highway arranged side by side long downslope traffic hazard emergency traffic in sleet sky is organized prediction scheme, greasy weather highway interchange main line traffic hazard emergency traffic is organized prediction scheme, greasy weather highway interchange ring road traffic hazard emergency traffic is organized prediction scheme, highway interchange main line traffic hazard emergency traffic in sleet sky is organized prediction scheme, highway interchange ring road traffic hazard emergency traffic in sleet sky is organized prediction scheme, greasy weather high speed loop wire and the general road section traffic volume accident of radioactive ray road network loop wire emergency traffic are organized prediction scheme, sleet sky high speed loop wire and the general road section traffic volume accident of radioactive ray road network loop wire emergency traffic are organized prediction scheme, greasy weather high speed loop wire and the general road section traffic volume accident of radioactive ray road network ray emergency traffic organize prediction scheme and sleet sky high speed loop wire and the general road section traffic volume accident of radioactive ray road network ray emergency traffic to organize 24 kinds of traffic organization prediction schemes of prediction scheme.
The traffic accidents impact prediction organically combines accident impact and traffic organization with control system, and the accident impact scope is carried out the traffic organization of reasonable science, makes traffic organization more targeted, reduces causality loss greatly, reduces queuing and incurs loss through delay.
The situation that helps the traffic hazard of supvr's grasp macroscopical can last long as measurable traffic hazard, the queue length that concrete road network scope that can influence and accident cause; Also for the supvr provides a decision support, avoid simple experience to go to handle traffic hazard simultaneously.
Description of drawings
Fig. 1 is a structural representation of the present utility model.
Embodiment
Below in conjunction with specific embodiment, the utility model is elaborated.
Traffic accidents impact prediction and control system comprise traffic accident information module, accident impact prediction module, traffic organization prediction scheme module, traffic simulation module and evaluation and decision module, and structure as shown in Figure 1.
1) traffic accident information module
The traffic accident information module is used for obtaining accident information data, weather, visibility, spot, real-time traffic amount, traffic capacity information from the outside, is stored in the system backstage.Described accident information data comprise road network essential information, Road Detection information and scene of the accident information.Each traffic information data form of input all is general form, and its unit conveniently calculates according to base unit commonly used.
In order to satisfy the demand of different road informations in the road network as much as possible, comprise that is also upgraded a road network information module, be connected with described traffic accident information module, be used for adding and the information of editing relevant road to described traffic accident information module by user oneself according to actual needs.Store the essential information in highway section simultaneously based on the road network spatial database of GIS, take place to inquire about the essential information in accident highway section after the traffic hazard in certain highway section.
2) accident impact prediction module
The accident impact prediction module is the accident information data according to the typing of traffic accident information module, accident impact is predicted, comprise accident predicting unit time delay, accident macroscopic effects scope predicting unit and accident microcosmic coverage predicting unit, be respectively applied for predict accidents happened time delay, accident macroscopic effects scope and accident microcosmic coverage.Accident refer to time delay take place traffic hazard play constantly traffic-police handle accident (the wounded, the fault vehicle is removed and is finished, but this moment because the influence that accident is brought, accident spot may be also in traffic congestion) this time period.
Accident predicting unit time delay: after accident takes place, utilize the accident information data, according to decision tree theoretical prediction accident time delay, for the supvr provides the possible reaction time, according to actual conditions and in conjunction with the time result who predicts, carry out effective emergency traffic tissue, reduce the traffic congestion time as much as possible;
Accident macroscopic effects scope predicting unit is used for according to accident information data and existing theoretical model (for example wagon flow wave pattern under tolerable boundary model, node relation intensity model, the amount of detouring model and the interference condition), calculate the coverage that traffic hazard causes road network, coverage is divided into protected location, control zone and three districts of buffer zone, traffic organization is carried out in each zone, the issue early warning information reduces as much as possible and incurs loss through delay or traffic congestion;
Accident microcosmic coverage predicting unit is used for calculating maximum queue length, the maximum queuing moment and the duration of fault that the highway section takes place accident according to wagon flow wave pattern under accident information data and the traffic accidents.Duration of fault refers to have an accident and plays all recoveries of spot constantly normally during this period of time.
The supvr can according to predict the outcome carry out the accident emergency traffic when organizing subregion effective choice node carry out traffic organization.
3) traffic organization prediction scheme module
Traffic organization prediction scheme module is utilized traffic organization prediction scheme storehouse, according to optimum traffic organization prediction scheme in protected location, control zone and buffer zone, duration of fault, maximum queue length, the maximum queuing moment, weather, visibility, spot, real-time traffic amount, the traffic capacity coupling traffic organization prediction scheme storehouse.The prediction scheme of traffic organization simultaneously module backstage has been stored the general road section traffic volume accident of road network highway arranged side by side emergency traffic and has been organized prediction scheme, high speed loop wire and the general road section traffic volume accident of radioactive ray road network loop wire emergency traffic are organized prediction scheme, high speed loop wire and the general road section traffic volume accident of radioactive ray road network ray emergency traffic are organized prediction scheme, road network highway long downslope traffic hazard emergency traffic is organized prediction scheme side by side, the general traffic hazard emergency traffic of short tunnel is organized prediction scheme in two-way pair of hole of highway, two-way pair of hole of highway short-and-medium tunnel fire hazard accident emergency traffic is organized prediction scheme, long and the general traffic hazard emergency traffic of super long tunnel in two-way pair of hole of highway is organized prediction scheme, two-way pair of hole length of highway and super long tunnel fire failure emergency traffic are organized prediction scheme, the general traffic hazard emergency traffic of short tunnel is organized prediction scheme in unidirectional pair of hole of highway, unidirectional pair of hole of highway short-and-medium tunnel fire hazard accident emergency traffic is organized prediction scheme, highway interchange main line traffic hazard emergency traffic is organized prediction scheme, highway interchange ring road traffic hazard emergency traffic is organized prediction scheme, the general road section traffic volume accident of greasy weather road network highway arranged side by side emergency traffic is organized prediction scheme, the general road section traffic volume accident of sleet sky road network highway arranged side by side emergency traffic is organized prediction scheme, prediction scheme is promptly organized in greasy weather road network highway arranged side by side long downslope traffic hazard, road network highway arranged side by side long downslope traffic hazard emergency traffic in sleet sky is organized prediction scheme, greasy weather highway interchange main line traffic hazard emergency traffic is organized prediction scheme, greasy weather highway interchange ring road traffic hazard emergency traffic is organized prediction scheme, highway interchange main line traffic hazard emergency traffic in sleet sky is organized prediction scheme, highway interchange ring road traffic hazard emergency traffic in sleet sky is organized prediction scheme, greasy weather high speed loop wire and the general road section traffic volume accident of radioactive ray road network loop wire emergency traffic are organized prediction scheme, sleet sky high speed loop wire and the general road section traffic volume accident of radioactive ray road network loop wire emergency traffic are organized prediction scheme, greasy weather high speed loop wire and the general road section traffic volume accident of radioactive ray road network ray emergency traffic organize prediction scheme and sleet sky high speed loop wire and the general road section traffic volume accident of radioactive ray road network ray emergency traffic to organize 24 kinds of traffic organization prediction schemes of prediction scheme.
In addition, the prediction scheme of promptly organizing that system provides has certain versatility, but the special area of part has its unique organization scheme, system provides open organization scheme to add module for this reason, " upgrade traffic organization prediction scheme " module that the user can provide according to system is used to upgrade the traffic organization prediction scheme.
4) traffic simulation module
The traffic simulation module is used for emulation 3) the optimum traffic organization prediction scheme of coupling, draw the queue length data and data are incured loss through delay in queuing.Adopt the com interface technology, utilize German traffic simulation software PTV-Vissim to carry out simulating, verifying.Vissim be kind of a microcosmic, time drive, based on the simulation modeling instrument of driving behavior, be used under various transportation conditions, analyze the operation conditions of road traffic, be the effective tool of estimating traffic engineering design and Traffic Organization.By the Vissim Software Secondary Development, make the user under the situation of not grasping the basic operation of Vissim software, carry out the implementation result emulation that prediction scheme was predicted and organized to accident impact.
Also can in " emulation setting " module, carry out the parameter setting for advanced level user according to the special circumstances of traffic hazard to the traffic simulation module.
5) evaluation and decision module
The evaluation and decision module comprises prediction scheme evaluation and prediction scheme decision-making module, the queue length data and the queuing delay data that are used for the traffic simulation modular simulation is drawn compare with the corresponding parameter of not taking optimum traffic organization prediction scheme to cause, estimate the validity of carrying out the traffic organization strategy.
Should be understood that, for those of ordinary skills, can be improved according to the above description or conversion, and all these improvement and conversion all should belong to the protection domain of the utility model claims.
Claims (3)
1. traffic accidents impact prediction and control system is characterized in that, comprise the traffic accident information module, accident impact prediction module, traffic organization prediction scheme module, traffic simulation module and the evaluation and decision module that connect successively; Described accident impact prediction module comprises accident predicting unit time delay, accident macroscopic effects scope predicting unit and accident microcosmic coverage predicting unit.
2. traffic accidents impact prediction according to claim 1 and control system is characterized in that, comprise that one is upgraded the road network information module, is connected with described traffic accident information module.
3. traffic accidents impact prediction according to claim 1 and control system is characterized in that, described traffic organization prediction scheme module comprises a traffic organization prediction scheme storehouse.
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| CN2011200844149U CN202075862U (en) | 2011-03-28 | 2011-03-28 | System for predicting and controlling freeway traffic accident influence |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102747698A (en) * | 2012-07-18 | 2012-10-24 | 招商局重庆交通科研设计院有限公司 | Secondary accident preventing method for underground tunnel |
| CN103544835A (en) * | 2013-09-27 | 2014-01-29 | 北京交通大学 | Urban rail transit passenger flow guidance information release system and method |
| CN104657199A (en) * | 2015-02-10 | 2015-05-27 | 交通运输部科学研究院 | Method for forecasting influence range of highway traffic incident on basis of microscopic simulation |
| WO2017116325A1 (en) | 2015-12-30 | 2017-07-06 | Hasan Kalyoncu Universitesi | Real time vehicle detection through highway tunnels |
| CN108492556A (en) * | 2018-03-26 | 2018-09-04 | 京东方科技集团股份有限公司 | The dissemination method and Cloud Server of information are evaded in a kind of traffic accident |
| WO2018217806A1 (en) * | 2017-05-22 | 2018-11-29 | Alibaba Group Holding Limited | Road traffic control system, method, and electronic device |
| US10672264B2 (en) | 2014-02-03 | 2020-06-02 | Here Global B.V. | Predictive incident aggregation |
| US10755566B2 (en) | 2014-12-02 | 2020-08-25 | Here Global B.V. | Method and apparatus for determining location-based vehicle behavior |
| CN113220743A (en) * | 2021-05-08 | 2021-08-06 | 浙江省机电设计研究院有限公司 | Traffic emergency plan matching method, system, terminal and medium |
| WO2022099608A1 (en) * | 2020-11-13 | 2022-05-19 | 金序能 | Method for acquiring attribute category of traffic accident on highway |
-
2011
- 2011-03-28 CN CN2011200844149U patent/CN202075862U/en not_active Expired - Fee Related
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102747698A (en) * | 2012-07-18 | 2012-10-24 | 招商局重庆交通科研设计院有限公司 | Secondary accident preventing method for underground tunnel |
| CN102747698B (en) * | 2012-07-18 | 2014-11-05 | 招商局重庆交通科研设计院有限公司 | Secondary accident preventing method for underground tunnel |
| CN103544835A (en) * | 2013-09-27 | 2014-01-29 | 北京交通大学 | Urban rail transit passenger flow guidance information release system and method |
| CN103544835B (en) * | 2013-09-27 | 2015-10-21 | 北京交通大学 | Urban track traffic for passenger flow guidance information publishing system and dissemination method |
| US10672264B2 (en) | 2014-02-03 | 2020-06-02 | Here Global B.V. | Predictive incident aggregation |
| US10755566B2 (en) | 2014-12-02 | 2020-08-25 | Here Global B.V. | Method and apparatus for determining location-based vehicle behavior |
| CN104657199B (en) * | 2015-02-10 | 2017-09-22 | 交通运输部科学研究院 | The Forecasting Methodology of freeway traffic event coverage based on microscopic simulation |
| CN104657199A (en) * | 2015-02-10 | 2015-05-27 | 交通运输部科学研究院 | Method for forecasting influence range of highway traffic incident on basis of microscopic simulation |
| WO2017116325A1 (en) | 2015-12-30 | 2017-07-06 | Hasan Kalyoncu Universitesi | Real time vehicle detection through highway tunnels |
| WO2018217806A1 (en) * | 2017-05-22 | 2018-11-29 | Alibaba Group Holding Limited | Road traffic control system, method, and electronic device |
| US10354523B2 (en) | 2017-05-22 | 2019-07-16 | Alibaba Group Holding Limited | Road traffic control system, method, and electronic device |
| CN108492556A (en) * | 2018-03-26 | 2018-09-04 | 京东方科技集团股份有限公司 | The dissemination method and Cloud Server of information are evaded in a kind of traffic accident |
| WO2022099608A1 (en) * | 2020-11-13 | 2022-05-19 | 金序能 | Method for acquiring attribute category of traffic accident on highway |
| CN113220743A (en) * | 2021-05-08 | 2021-08-06 | 浙江省机电设计研究院有限公司 | Traffic emergency plan matching method, system, terminal and medium |
| CN113220743B (en) * | 2021-05-08 | 2022-04-22 | 浙江省机电设计研究院有限公司 | Traffic emergency plan matching method, system, terminal and medium |
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Granted publication date: 20111214 Termination date: 20120328 |