TWI512690B - Application of vehicle population movement mode changes to detect road congestion - Google Patents

Application of vehicle population movement mode changes to detect road congestion Download PDF

Info

Publication number
TWI512690B
TWI512690B TW102133434A TW102133434A TWI512690B TW I512690 B TWI512690 B TW I512690B TW 102133434 A TW102133434 A TW 102133434A TW 102133434 A TW102133434 A TW 102133434A TW I512690 B TWI512690 B TW I512690B
Authority
TW
Taiwan
Prior art keywords
vehicle
information
traffic information
gps
vehicle group
Prior art date
Application number
TW102133434A
Other languages
Chinese (zh)
Other versions
TW201513054A (en
Original Assignee
Chunghwa Telecom Co Ltd
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 Chunghwa Telecom Co Ltd filed Critical Chunghwa Telecom Co Ltd
Priority to TW102133434A priority Critical patent/TWI512690B/en
Publication of TW201513054A publication Critical patent/TW201513054A/en
Application granted granted Critical
Publication of TWI512690B publication Critical patent/TWI512690B/en

Links

Description

應用車輛群體移動模式變化來偵測道路壅塞的方法Method for detecting road congestion by applying vehicle group movement mode change

本發明係一種應用車輛群體移動模式變化來偵測道路壅塞的方法,係應用交通資訊蒐集探偵車觀察周遭車輛之群體移動變化趨勢,來判別交通資訊蒐集探偵車所行駛的道路路況是否發生變化。The invention relates to a method for detecting road congestion by using a vehicle group movement mode change, which is to use a traffic information collection vehicle to observe a group movement trend of a surrounding vehicle to determine whether a road condition of a traffic information collection vehicle is changed.

一般道路情況的資訊採集與分析是預先將偵測點的座標資訊載入至終端採集裝置中,令終端採集裝置判斷經過上述偵測點時,即自動觸發路況資訊的採集分析作業,以產生相應的行車路況資訊後才回傳至後端平台,但此方法易因單一探偵車車輛駕駛行為之差異,而提供較不具代表性的路況資訊。The information collection and analysis of the general road condition is to preload the coordinate information of the detection point into the terminal collection device, so that the terminal collection device judges the collection and analysis operation of the road condition information automatically when the detection device passes the detection point to generate corresponding The traffic information is only transmitted back to the back-end platform, but this method is easy to provide less representative road information due to the difference in driving behavior of a single vehicle.

通常後端平台收集交通資訊探偵車或手機定期回傳的GPS資訊(包含移動向量資訊及位置資訊),再由後端平台根據每一輛探測車的行車軌跡與路線,計算行經道路的路段車速,並依此方式在收集計算出所有探測車或手機所傳回的採集資訊後,統計產生交通網路上各路段的平均車速資訊,以掌握各路段之路況變化,但探偵車或手機定期回傳GPS,除了增加自身的通訊成本外,若有大量的GPS資訊同時回傳到後端平台,則易造成後端平台運算及通訊網路的負擔。Usually, the back-end platform collects GPS information (including mobile vector information and location information) that the traffic information detector or mobile phone periodically returns, and then the back-end platform calculates the speed of the road passing the road according to the driving trajectory and route of each of the detecting vehicles. In this way, after collecting and calculating the collected information returned by all the probe cars or mobile phones, the average speed information of each section of the traffic network is statistically generated to grasp the road condition changes of each road section, but the probe vehicle or mobile phone periodically returns. In addition to increasing the cost of communication, GPS can easily cause back-end platform computing and communication network burden if a large amount of GPS information is transmitted back to the back-end platform.

常見的車間通訊網路進行交通資訊傳遞與交換時,是藉由各車輛與鄰近車輛(車間通訊範圍內)相互交換車輛平均速度、平均車輛間距、及平均車輛密度資訊,各車輛再自行計算可代表周遭交通路況的指標(traffic condition index),再將此路況指標資訊經由車間通訊網路廣播給其它車輛或傳送到路旁基礎設施以進行進一步應用,此作法除了無法有效避免蒐集到怠速行駛或停置在路旁的車輛資訊外、亦無法避免蒐集到來自對向車道車輛所提供之資訊,這些資訊都會造成計算出的路況指標資訊失真的情況,亦無法確切反應車輛所行駛路段的路況變化。In the common workshop communication network for traffic information transmission and exchange, the average vehicle speed, average vehicle spacing, and average vehicle density information are exchanged between vehicles and neighboring vehicles (in the communication range of the workshop). The traffic condition index is broadcasted to other vehicles via the workshop communication network or transmitted to the roadside infrastructure for further application. This method cannot effectively avoid collecting idling or stopping. Apart from the information on the roadside, it is also impossible to avoid collecting information from vehicles in the opposite lanes. This information will cause the calculated information of the road condition indicators to be distorted, and it will not be able to accurately reflect the road conditions of the roads on which the vehicles are traveling.

由此可見,上述習用方式仍有諸多缺失,實非一良善之設計,而亟待加以改良。It can be seen that there are still many shortcomings in the above-mentioned methods of use, which is not a good design, but needs to be improved.

本案發明人鑑於上述習用方式所衍生的各項缺點,乃亟思加以改良創新,並經多年苦心孤詣潛心研究後,終於成功研發完成本件應用車輛群體移動模式變化來偵測道路壅塞的方法。In view of the shortcomings derived from the above-mentioned conventional methods, the inventor of the present invention has improved and innovated, and after years of painstaking research, he finally succeeded in researching and developing the method of detecting the road congestion caused by the vehicle movement pattern of the application vehicle.

為達成上述發明目的之應用車輛群體移動模式變化來偵測道路壅塞的方法,係利用於各市區一般道路、幹道上行駛的交通資訊蒐集探偵車蒐集路況資訊,當探偵車偵測到路況發生重大變化時(道路發生壅塞),可即時將發生道路壅塞的路段資訊回報給後端交通資訊蒐集伺服器。藉由各交通資訊蒐集探偵車取得相鄰車輛之GPS資訊,依據相鄰車輛之GPS資訊建立與探偵車移動模式相似之車輛群組,經由各探偵車持續觀察車輛群組之移動變化趨勢,當觀察到整體車輛 群組之移動趨勢發生變化時,探偵車可即時回報路段壅塞資訊及自身的GPS軌跡資訊於後端交通資訊蒐集伺服器,最後,再藉由後端交通資訊蒐集伺服器分析探偵車之GPS軌跡資訊,並將GPS軌跡資訊對應到路網路段上,便可得知探偵車所在壅塞路段。In order to achieve the above-mentioned invention, the method for detecting the road congestion caused by the change of the vehicle group movement mode is to collect the traffic information collected by the general vehicle and the main road in each urban area to collect the road condition information, and when the detection vehicle detects that the road condition is significant When the change occurs (the road is blocked), the road segment information of the road congestion can be immediately reported back to the back-end traffic information collection server. The vehicle information is collected by the traffic information to obtain the GPS information of the adjacent vehicles, and the vehicle group similar to the detection vehicle movement mode is established according to the GPS information of the adjacent vehicles, and the movement trend of the vehicle group is continuously observed through the various detection vehicles. Observed the overall vehicle When the movement trend of the group changes, the probe vehicle can immediately report the road congestion information and its own GPS trajectory information to the back-end traffic information collection server. Finally, the back-end traffic information collection server analyzes the GPS trajectory of the probe vehicle. Information, and the GPS track information is corresponding to the road network segment, you can know the intercepted road section where the probe vehicle is located.

上述所提之藉由各交通資訊蒐集探偵車取得相鄰車輛之GPS資訊,主要是運用車輛間短距無線通訊技術來蒐集取得相鄰車輛之GPS資訊,目前可運用於車間通訊的短距無線通訊標準像是IEEE 802.11p,具有低傳輸延遲、高傳輸距離(1,000公尺)與高傳輸速度(27Mbit/s)等特性。The above mentioned information is collected from various traffic information detectors to obtain GPS information of adjacent vehicles, mainly using short-range wireless communication technology between vehicles to collect GPS information of adjacent vehicles, which can be used for short-range wireless communication in workshop communication. The communication standard is like IEEE 802.11p, with low transmission delay, high transmission distance (1,000 meters) and high transmission speed (27Mbit/s).

上述所提之依據相鄰車輛之GPS資訊建立與探偵車移動模式相似之車輛群組,主要是由探偵車蒐集相鄰車輛的GPS資訊後,從GPS資訊取得移動方位角和移動速度資訊,探偵車再一一計算與相鄰車輛之間的移動方位角和移動速度差異,由探偵車判斷若移動方位角和移動速度差異低於預定門檻值,則將相鄰車輛歸屬於移動模式相似車輛群組,反之則排除。此移動模式相似之車輛群組資訊亦會由交通資訊蒐集探偵車定期更新。The above-mentioned vehicle group based on the GPS information of the adjacent vehicle establishes a vehicle group similar to the detection vehicle movement mode, mainly after the probe vehicle collects the GPS information of the adjacent vehicle, and obtains the mobile azimuth and the moving speed information from the GPS information, and probes the information. The vehicle further calculates the difference between the moving azimuth and the moving speed between the adjacent vehicles, and the detecting vehicle determines that if the moving azimuth and the moving speed difference are lower than the predetermined threshold, the adjacent vehicles are attributed to the mobile mode similar vehicle group. Group, and vice versa. Vehicle group information similar to this mobile mode will also be updated regularly by the traffic information collection vehicle.

上述所提之探偵車持續觀察車輛群組之移動變化趨勢,主要是由探偵車觀察車輛群組之移動模式是否發生變化,包括整體車輛群組移動距離是否隨時間遞減、或整體車輛群組移動速度是否隨時間遞減,並持續一段時間,此也代表道路路況出現壅塞。The above-mentioned probe vehicle continuously observes the movement trend of the vehicle group, mainly because the probe vehicle observes whether the movement pattern of the vehicle group changes, including whether the overall vehicle group movement distance decreases with time, or the overall vehicle group moves. Whether the speed decreases with time and lasts for a while, which also means that the road conditions are congested.

上述所提之探偵車即時回報路段壅塞資訊及自身的GPS軌跡資訊於後端交通資訊蒐集伺服器,主要是當探偵車發現車輛群組移動模式發生變化,並持續一段時間時,便 可將觀察到的路況變化和自身的GPS軌跡資訊即時回報到後端伺服器;而後端伺服器除了蒐集各探偵車回報的路況變化資訊外,可透過相關地圖匹配演算法將探偵車回報的GPS軌跡資訊對應到路網路段,以掌握目前路況發生變化的路段資訊。The above-mentioned probe vehicle immediately returns the road congestion information and its own GPS trajectory information to the back-end traffic information collection server, mainly when the probe vehicle finds that the vehicle group movement mode changes and continues for a period of time. The observed road condition changes and its own GPS trajectory information can be immediately reported to the back-end server; and the back-end server can collect the GPS information returned by the Detective Vehicle through the relevant map matching algorithm in addition to collecting the road condition change information reported by each Detective Vehicle. The track information corresponds to the road network segment to grasp the information of the road segment where the current road condition changes.

本發明所提供之應用車輛群體移動模式變化來偵測道路壅塞的方法,與其他習用技術相互比較時,更具備下列優點:The method for detecting road congestion caused by the vehicle group movement mode change provided by the invention has the following advantages when compared with other conventional technologies:

1.本發明係透過各交通資訊蒐集探偵車自行蒐集及分析道路路況變化趨勢,當偵測到路況發生重大變化時,探偵車再即時回報給後端交通資訊蒐集伺服器,此機制不需要後端伺服器進行大量資料運算,可大幅降低後端伺服器的運行負擔,並可降低探偵車回報路況資訊到後端伺服器的次數及通訊成本,有效提升整體系統的運作效能。1. The present invention collects and analyzes the road traffic condition change trend through various traffic information collection vehicles. When a significant change in the road condition is detected, the probe vehicle immediately returns to the back-end traffic information collection server. The end server performs a large amount of data calculation, which can greatly reduce the running load of the back-end server, and can reduce the number of times the probe vehicle reports the road condition information to the back-end server and the communication cost, thereby effectively improving the operation efficiency of the overall system.

2.本發明係利用觀察與探偵車移動模式相近的車輛群體之移動變化趨勢來偵測道路路況,此作法除了可有效利用有限的交通資訊蒐集探偵車來即時反映交通路況,並可確保一定的路況資訊可信度。2. The present invention detects the road condition by observing the movement trend of the vehicle group similar to the movement mode of the probe vehicle. This method can effectively use the limited traffic information to collect the probe vehicle to immediately reflect the traffic condition and ensure a certain degree. Road information credibility.

101~106‧‧‧偵測道路壅塞方法流程101~106‧‧‧Detecting road congestion method flow

201~206‧‧‧移動模式相似之車輛群組建立流程201~206‧‧‧ Vehicle group establishment process with similar mobile mode

301‧‧‧交通資訊蒐集探偵車301‧‧‧ Traffic information collection of detective vehicles

302‧‧‧一般車輛302‧‧‧General vehicles

303‧‧‧車間短距無線通訊303‧‧‧Workshop short-range wireless communication

304‧‧‧行動數據通訊304‧‧‧Mobile Data Communications

305‧‧‧移動模式相似車輛群組305‧‧‧Mobile mode similar vehicle group

306‧‧‧行動通訊基地台306‧‧‧Mobile Communications Base

307‧‧‧網際網路307‧‧‧Internet

308‧‧‧交通資訊蒐集伺服器308‧‧‧Traffic information collection server

請參閱有關本發明之詳細說明及其附圖,將可進一步瞭解本發明之技術內容及其目的功效;有關附圖為:圖1為應用車輛群體移動模式變化來偵測道路壅塞的方法流程圖;圖2為移動模式相似之車輛群組建立流程圖;圖3為應用車輛群體移動模式變化來偵測道路壅塞應用 示意圖。Please refer to the detailed description of the present invention and the accompanying drawings, which will further understand the technical content of the present invention and its effect. The related drawings are: FIG. 1 is a flow chart of a method for detecting road congestion using a vehicle group movement mode change. Figure 2 is a flow chart for establishing a vehicle group with similar mobile modes; Figure 3 is a road congestion application for applying vehicle group movement mode changes. schematic diagram.

為了使本發明的目的、技術方案及優點更加清楚明白,下面結合附圖及實施例,對本發明進行進一步詳細說明。應當理解,此處所描述的具體實施例僅用以解釋本發明,但並不用於限定本發明。The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

以下,結合附圖對本發明進一步說明:請參閱圖1所述,係為達成上述發明目的之應用車輛群體移動模式變化來偵測道路壅塞的方法流程圖,係利用於各市區一般道路、幹道上行駛的交通資訊蒐集探偵車蒐集路況資訊,當探偵車偵測到路況發生重大變化時(道路發生壅塞),可即時將發生道路壅塞的路段資訊回報給後端交通資訊蒐集伺服器。藉由各交通資訊蒐集探偵車取得相鄰車輛之GPS資訊如流程101,依據交通資訊蒐集探偵車利用相鄰車輛之GPS資訊建立移動模式相似車輛群組如流程102,經由各交通資訊蒐集探偵車持續觀察車輛群組之移動變化趨勢如流程103,當觀察到整體車輛群組之移動趨勢發生變化時如流程104,交通資訊蒐集探偵車回報路段壅塞資訊及自身GPS軌跡資訊於後端交通資訊蒐集伺服器如流程105,最後,再藉由後端交通資訊蒐集伺服器分析交通資訊蒐集探偵車之GPS軌跡資訊得出探偵車所在壅塞路段如流程106。Hereinafter, the present invention will be further described with reference to the accompanying drawings: Referring to FIG. 1 , a flow chart of a method for detecting road congestion caused by a vehicle group movement mode change for achieving the above object is used in general urban roads and trunk roads. The traffic information collected collects the information of the road detectors. When the vehicle detects a major change in the road conditions (the road is blocked), it can immediately report the road congestion information to the back-end traffic information collection server. Collecting GPS information of adjacent vehicles through various traffic information, such as process 101, collecting traffic detectors based on traffic information, using GPS information of adjacent vehicles to establish a mobile mode similar vehicle group, such as process 102, collecting probes through various traffic information. Continuously observe the movement trend of the vehicle group as in Process 103. When it is observed that the movement trend of the overall vehicle group changes, such as the process 104, the traffic information collection probe detector returns the road congestion information and the GPS tracking information in the back traffic information collection. The server is in process 105. Finally, the back-end traffic information collecting server analyzes the traffic information to collect the GPS track information of the probe vehicle to obtain the blocked road section of the probe vehicle, such as the process 106.

上述所提之藉由各交通資訊蒐集探偵車取得相鄰車輛之GPS資訊,主要是運用車輛間短距無線通訊技術來蒐集取得相鄰車輛之GPS資訊,目前可運用於車間通訊的短距無線通訊標準像是IEEE 802.11p,具有低傳輸延遲、高傳輸距離(1,000公尺)與高傳輸速度(27Mbit/s)等特性。The above mentioned information is collected from various traffic information detectors to obtain GPS information of adjacent vehicles, mainly using short-range wireless communication technology between vehicles to collect GPS information of adjacent vehicles, which can be used for short-range wireless communication in workshop communication. The communication standard is like IEEE 802.11p, with low transmission delay, high transmission distance (1,000 meters) and high transmission speed (27Mbit/s).

請參閱圖2所述,係為移動模式相似之車輛群組建立流程圖,上述所提之依據相鄰車輛之GPS資訊建立與交通資訊蒐集探偵車移動模式相似之車輛群組,主要是由交通資訊蒐集探偵車蒐集相鄰車輛之GPS資訊後如流程201,從GPS資訊取得移動方位角和移動速度資訊如流程202,探偵車再一一計算相鄰車輛之間的移動方位角和移動速度差異如流程203,由探偵車判斷若移動方位角和移動速度差異低於預定門檻值如流程204,則交通資訊蒐集探偵車將相鄰車輛歸屬於移動模式相似車輛群組如流程205,反之則排除此相鄰車輛如流程206。此移動模式相似之車輛群組資訊亦會由交通資訊蒐集探偵車定期更新。Referring to FIG. 2, a flow chart is established for a vehicle group with similar mobile modes. The above-mentioned vehicle information based on the GPS information of the adjacent vehicle is similar to that of the traffic information collecting and detecting vehicle movement mode, mainly by traffic. After collecting the GPS information of the adjacent vehicles, the information gathering detectors obtain the moving azimuth and moving speed information from the GPS information, such as the process 202, and the detecting vehicle further calculates the difference of the moving azimuth and the moving speed between the adjacent vehicles one by one. For example, in process 203, if the probe determines that the difference between the moving azimuth and the moving speed is lower than a predetermined threshold value, such as the process 204, the traffic information collecting probe vehicle belongs to the adjacent vehicle in the mobile mode, such as the process 205, and vice versa. This adjacent vehicle is as shown in flow 206. Vehicle group information similar to this mobile mode will also be updated regularly by the traffic information collection vehicle.

上述所提之探偵車持續觀察車輛群組之移動變化趨勢,主要是由探偵車觀察車輛群組之移動模式是否發生變化,包括整體車輛群組移動距離是否隨時間遞減、或整體車輛群組移動速度是否隨時間遞減,並持續一段時間,此也代表道路路況出現壅塞。The above-mentioned probe vehicle continuously observes the movement trend of the vehicle group, mainly because the probe vehicle observes whether the movement pattern of the vehicle group changes, including whether the overall vehicle group movement distance decreases with time, or the overall vehicle group moves. Whether the speed decreases with time and lasts for a while, which also means that the road conditions are congested.

上述所提之探偵車即時回報路段壅塞資訊及自身的GPS軌跡資訊於後端交通資訊蒐集伺服器,主要是當發探偵車發現車輛群組移動模式發生變化,並持續一段時間時,便可將觀察到的路況變化和自身的GPS軌跡資訊即時回報到後端伺服器;而後端伺服器除了蒐集各探偵車回報的路況變化資訊外,並透過相關地圖匹配演算法將探偵車回報的GPS軌跡資訊對應到路網路段,以掌握目前路況發生變化的路段資訊。The above-mentioned probe vehicle immediately returns the road congestion information and its own GPS trajectory information to the back-end traffic information collection server, mainly when the detection vehicle detects that the vehicle group movement mode has changed and continues for a period of time. Observed changes in road conditions and their own GPS trajectory information are immediately reported to the back-end server; while the back-end server collects information on the change of road conditions reported by each Detective Vehicle, and transmits the GPS trajectory information returned by the Detective Vehicle through the relevant map matching algorithm. Correspond to the network segment of the road to grasp the information of the road segment where the current road conditions have changed.

如圖3所示,本發明之應用車輛群體移動模式變化來偵測道路壅塞應用示意圖,係包含:交通資訊蒐集探偵 車301,係指具有裝備GPS全球定位系統模組、蒐集鄰近車輛的GPS資訊模組、車間短距無線通訊模組、行動通訊模組、及路況分析模組之交通資訊蒐集專用車輛;一般車輛302,係指裝備GPS定位功能模組及車間短距無線通訊模組之車輛;車間短距無線通訊303,係指適用於車輛行進間進行資料傳輸的無線通訊技術,如IEEE 802.11p;行動數據通訊304,係指適用於廣域資料傳輸的無線通訊技術,如3G、WiMAX;移動模式相似車輛群組305,係指與交通資訊蒐集探偵車具有相似移動方向、相似移動速度的車輛所構成的車輛群組;行動通訊基地台306,係指一般3G、WiMAX通訊基地台;網際網路307,係指有線網路,包含骨幹網路、及連及用戶之最後一哩,並以通用的通訊協定相連;交通資訊蒐集伺服器308,係指蒐集道路路況之專屬伺服主機,裝備路況資訊蒐集模組、及路徑比對模組。As shown in FIG. 3, the schematic diagram of the application of the vehicle group movement mode change to detect the road congestion application includes: traffic information collection and detection Vehicle 301 refers to a vehicle for collecting traffic information with GPS global positioning system module, GPS information module for collecting nearby vehicles, workshop short-range wireless communication module, mobile communication module, and road condition analysis module; general vehicle 302, refers to vehicles equipped with GPS positioning function module and workshop short-range wireless communication module; workshop short-range wireless communication 303, refers to wireless communication technology suitable for data transmission between vehicles, such as IEEE 802.11p; mobile data Communication 304 refers to wireless communication technologies suitable for wide-area data transmission, such as 3G and WiMAX; mobile-like similar vehicle groups 305, which are composed of vehicles with similar moving directions and similar moving speeds as the traffic information collecting and detecting vehicles. Vehicle group; mobile communication base station 306 refers to the general 3G, WiMAX communication base station; Internet network 307 refers to the wired network, including the backbone network, and the last link of the user and the user, and the general communication The agreement is connected; the traffic information collection server 308 is a dedicated servo host that collects road conditions, equipped with road condition information collection modules, and path comparison. Group.

行駛在各重要道路、幹道上的交通資訊蒐集探偵車302藉由蒐集鄰近車輛的GPS資訊模組與車間短距無線通訊模組取得周遭一般車輛301的GPS資訊,並利用蒐集而得的GPS資訊作為依據來建立移動模式相似車輛群組305,此移動模式相似車輛群組資訊則由交通資訊蒐集探偵車來更新維護。交通資訊蒐集探偵車的路況分析模組會觀察車輛群組之移動變化趨勢,即整體車輛群組移動距離是否隨時間遞減、或整體車輛群組移動速度是否隨時間遞減,並持續一段時間,來判別道路發生壅塞。當交通資訊蒐集探偵車偵測到道路發生壅塞,可即時透過行動通訊模組將道路壅塞資訊及本身的GPS軌跡資訊,經由行動通訊基地台306及網際網路307回傳到交通資訊蒐集伺服器308,交通資訊蒐集伺服器308經由 路況資訊蒐集模組接收道路壅塞資訊,並運用路徑比對模組將交通資訊蒐集探偵車的GPS軌跡對應到路網路段上,以掌握發生道路壅塞的路段。The traffic information collection vehicle on the important roads and main roads collects the GPS information of the surrounding general vehicle 301 by collecting the GPS information module of the neighboring vehicle and the short-range wireless communication module of the workshop, and uses the collected GPS information. As a basis for establishing a mobile mode similar vehicle group 305, this mobile mode similar vehicle group information is updated and maintained by the traffic information collecting probe. The traffic condition analysis module of the traffic information collection vehicle will observe the movement trend of the vehicle group, that is, whether the overall vehicle group movement distance decreases with time, or whether the overall vehicle group movement speed decreases with time, and continues for a period of time. Determine the road congestion. When the traffic information collection vehicle detects that the road is blocked, it can immediately transmit the road congestion information and its own GPS trajectory information to the traffic information collection server via the mobile communication base station 306 and the Internet 307 through the mobile communication module. 308, the traffic information collecting server 308 is The road condition information collecting module receives the road congestion information, and uses the path comparison module to map the GPS track of the traffic information collecting probe vehicle to the road network segment to grasp the road section where the road congestion occurs.

上列詳細說明乃針對本發明之一可行實施例進行具體說明,惟該實施例並非用以限制本發明之專利範圍,凡未脫離本發明技藝精神所為之等效實施或變更,均應包含於本案之專利範圍中。The detailed description of the present invention is intended to be illustrative of a preferred embodiment of the invention, and is not intended to limit the scope of the invention. The patent scope of this case.

綜上所述,本案不僅於技術思想上確屬創新,並具備習用之傳統方法所不及之上述多項功效,已充分符合新穎性及進步性之法定發明專利要件,爰依法提出申請,懇請貴局核准本件發明專利申請案,以勵發明,至感德便。To sum up, this case is not only innovative in terms of technical thinking, but also has many of the above-mentioned functions that are not in the traditional methods of the past. It has fully complied with the statutory invention patent requirements of novelty and progressiveness, and applied for it according to law. Approved this invention patent application, in order to invent invention, to the sense of virtue.

301‧‧‧交通資訊蒐集探偵車301‧‧‧ Traffic information collection of detective vehicles

302‧‧‧一般車輛302‧‧‧General vehicles

303‧‧‧車間短距無線通訊303‧‧‧Workshop short-range wireless communication

304‧‧‧行動數據通訊304‧‧‧Mobile Data Communications

305‧‧‧移動模式相似車輛群組305‧‧‧Mobile mode similar vehicle group

306‧‧‧行動通訊基地台306‧‧‧Mobile Communications Base

307‧‧‧網際網路307‧‧‧Internet

308‧‧‧交通資訊蒐集伺服器308‧‧‧Traffic information collection server

Claims (5)

一種應用車輛群體移動模式變化來偵測道路壅塞的方法,包含以下步驟:步驟一、藉由各裝備GPS全球定位系統模組、蒐集鄰近車輛的GPS資訊模組、車間短距無線通訊模組、行動通訊模組、及路況分析模組之交通資訊蒐集探偵車透過蒐集鄰近車輛的GPS資訊模組、及車間短距無線通訊模組取得裝備GPS定位功能模組及車間短距無線通訊模組之相鄰車輛GPS資訊;步驟二、依據交通資訊蒐集探偵車利用相鄰車輛之GPS資訊建立移動模式相似車輛群組;步驟三、經由各交通資訊蒐集探偵車持續觀察車輛群組之移動變化趨勢;步驟四、當觀察到整體車輛群組之移動趨勢發生變化時;步驟五、交通資訊蒐集探偵車回報路段壅塞資訊及自身GPS軌跡資訊於後端交通資訊蒐集伺服器;步驟六、最後,再藉由後端交通資訊蒐集伺服器分析交通資訊蒐集探偵車之GPS軌跡資訊得出探偵車所在壅塞路段。 A method for detecting a road congestion caused by a vehicle group movement mode change includes the following steps: Step 1: By using GPS global positioning system modules, collecting GPS information modules of adjacent vehicles, and workshop short-range wireless communication modules, The traffic information collection module of the mobile communication module and the road condition analysis module collects the GPS information module of the adjacent vehicle and the short-range wireless communication module of the workshop to obtain the GPS positioning function module and the short-range wireless communication module of the workshop. GPS information of adjacent vehicles; Step 2: According to the traffic information, the search vehicle uses the GPS information of the adjacent vehicles to establish a similar vehicle group in the mobile mode; Step 3: Collecting the detective vehicles through the traffic information to continuously observe the moving trend of the vehicle group; Step 4: When it is observed that the movement trend of the overall vehicle group changes; Step 5: The traffic information collection probe detector returns the road congestion information and its own GPS trajectory information to the back-end traffic information collection server; Step 6 and finally, borrow again The back-end traffic information collection server analyzes the traffic information and collects the GPS track information of the detective vehicle. Reconnaissance vehicle where road congestion. 如申請專利範圍第1項所述之應用車輛群體移動模式變化來偵測道路壅塞的方法,其中該交通資訊蒐集探偵車蒐集相鄰車輛GPS資訊建立移動模式相似車輛群組之步驟為: 步驟一、係由該交通資訊蒐集探偵車從該相鄰車輛之GPS資訊取得移動方位角和移動速度資訊;步驟二、其該交通資訊蒐集探偵車再一一計算該相鄰車輛之間的該移動方位角和該移動速度差異;步驟三、由該交通資訊蒐集探偵車判斷若該移動方位角和該移動速度差異低於預定門檻值;步驟四、則該交通資訊蒐集探偵車將該相鄰車輛歸屬於該移動模式相似車輛群組;步驟五、反之則排除該相鄰車輛。 The method for detecting a road congestion caused by applying a vehicle group movement pattern change as described in claim 1, wherein the traffic information collection vehicle detects the GPS information of the adjacent vehicle to establish a mobile mode similar vehicle group: Step 1 is: collecting, by the traffic information, the detective vehicle obtains moving azimuth and moving speed information from GPS information of the adjacent vehicle; and step 2, the traffic information collecting the detecting vehicle further calculates the relationship between the adjacent vehicles The difference between the moving azimuth and the moving speed; step 3: collecting, by the traffic information, the detecting vehicle determines that the difference between the moving azimuth and the moving speed is lower than a predetermined threshold; and in step 4, the traffic information collecting the detecting vehicle to the adjacent The vehicle belongs to the similar vehicle group in the mobile mode; in step 5, the neighboring vehicle is excluded. 如申請專利範圍第1項所述之應用車輛群體移動模式變化來偵測道路壅塞的方法,其中該交通資訊蒐集探偵車係為一具備蒐集鄰近一般車輛GPS定位資訊裝置、車間短距無線通訊裝置、及路況分析裝置之車輛。 The method for detecting a road congestion caused by a vehicle movement pattern change according to the first aspect of the patent application, wherein the traffic information collection vehicle is a GPS information location device for collecting a nearby general vehicle, and a short-range wireless communication device for a workshop. And vehicles for road condition analysis devices. 如申請專利範圍第1項所述之應用車輛群體移動模式變化來偵測道路壅塞的方法,其中移動模式相近車輛群組係由複數臺與該探偵車移動方向相似且與該探偵車相對移動速度差異相當之車輛所構成。 The method for detecting a road congestion caused by applying a vehicle group movement mode change according to the first aspect of the patent application, wherein the vehicle group with a similar moving mode is similar to the direction of movement of the probe vehicle and the relative movement speed of the probe vehicle. The composition of the vehicle with the same difference. 如申請專利範圍第1項所述之應用車輛群體移動模式變化來偵測道路壅塞的方法,其中該車輛群組之移動趨勢發生變化,係指該整體車輛群組移動距離是否隨時間遞減、或該整體車輛群組移動速度是否隨時間遞減,並持續一段時間。The method for detecting a road congestion caused by a change in a vehicle group movement mode as described in claim 1, wherein a change in the movement tendency of the vehicle group refers to whether the overall vehicle group movement distance decreases with time, or Whether the overall vehicle group movement speed decreases with time and continues for a while.
TW102133434A 2013-09-16 2013-09-16 Application of vehicle population movement mode changes to detect road congestion TWI512690B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
TW102133434A TWI512690B (en) 2013-09-16 2013-09-16 Application of vehicle population movement mode changes to detect road congestion

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
TW102133434A TWI512690B (en) 2013-09-16 2013-09-16 Application of vehicle population movement mode changes to detect road congestion

Publications (2)

Publication Number Publication Date
TW201513054A TW201513054A (en) 2015-04-01
TWI512690B true TWI512690B (en) 2015-12-11

Family

ID=53437209

Family Applications (1)

Application Number Title Priority Date Filing Date
TW102133434A TWI512690B (en) 2013-09-16 2013-09-16 Application of vehicle population movement mode changes to detect road congestion

Country Status (1)

Country Link
TW (1) TWI512690B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI799318B (en) * 2022-07-14 2023-04-11 中華電信股份有限公司 Apparatus and method for analyzing traffic status and computer program product implementing the method

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI669690B (en) * 2018-08-13 2019-08-21 創新交通科技有限公司 A method for improving traffic network congestion by using non-blocked zone to allocate vehicle quantity
CN113132939B (en) * 2019-12-31 2023-04-25 中移(成都)信息通信科技有限公司 Road traffic condition information acquisition method, device, equipment and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101297299A (en) * 2005-10-28 2008-10-29 通用汽车环球科技运作公司 System for and method of updating traffic data using probe vehicles having exterior sensors
JP2012089088A (en) * 2010-10-22 2012-05-10 Toyota Motor Corp Probe information system and probe information processing method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101297299A (en) * 2005-10-28 2008-10-29 通用汽车环球科技运作公司 System for and method of updating traffic data using probe vehicles having exterior sensors
JP2012089088A (en) * 2010-10-22 2012-05-10 Toyota Motor Corp Probe information system and probe information processing method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
辛飛飛,"廣域動態交通資料在城市交通規劃中的應用研究", 同濟大學交通運輸工程學院,2008年10月1日 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI799318B (en) * 2022-07-14 2023-04-11 中華電信股份有限公司 Apparatus and method for analyzing traffic status and computer program product implementing the method

Also Published As

Publication number Publication date
TW201513054A (en) 2015-04-01

Similar Documents

Publication Publication Date Title
US20180283895A1 (en) Navigation system and method
Xiao et al. Transportation activity analysis using smartphones
CN105608505B (en) Resident rail transit trip mode identification method based on mobile phone signaling data
US9786161B2 (en) Methods and systems for estimating road traffic
WO2015051718A1 (en) Dynamic track navigation method and cloud platform
CN104751631A (en) Method of judging mode of transportation of train chain based on GPS (Global Positioning System) positioning and fuzzy theory
Gao et al. Estimating freeway traffic measures from mobile phone location data
CN105023428A (en) Road condition information assessment method and apparatus
CN103298059A (en) Connectivity sensing routing method on basis of location prediction in vehicle ad hoc network
CN101958043A (en) Highway section calculation element hourage and method thereof
Xing et al. Traffic volume estimation in multimodal urban networks using cell phone location data
Liu et al. Evaluation of floating car technologies for travel time estimation
CN108766031A (en) A kind of method and apparatus of detection lane obstructions object
CN105303831A (en) Method for determining congestion state of highway based on communication data
TWI512690B (en) Application of vehicle population movement mode changes to detect road congestion
EP3045001A1 (en) Methods, wireless device and network node for managing positioning method based on prediction
Florin et al. On a variant of the mobile observer method
JP2009217376A (en) System, device, and method of traffic information generation
CN105160867A (en) Traffic information prediction method
Jariyasunant et al. Overcoming battery life problems of smartphones when creating automated travel diaries
Remias et al. Travel time observations using Bluetooth MAC address matching: A case study on the Rajiv Gandhi Roadway: Chennai, India
Arbabi et al. Using vehicular networks to collect common traffic data
US20160007286A1 (en) Method and system for an accurate energy-efficient outdoor localization on a mobile device
KR101290750B1 (en) Method and apparatus for estimating destination using gps signal
CN103900553A (en) Regional map recording method and system