WO2016197937A1 - 带有交通状况变化趋势的地图与行车路线 - Google Patents
带有交通状况变化趋势的地图与行车路线 Download PDFInfo
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- WO2016197937A1 WO2016197937A1 PCT/CN2016/085218 CN2016085218W WO2016197937A1 WO 2016197937 A1 WO2016197937 A1 WO 2016197937A1 CN 2016085218 W CN2016085218 W CN 2016085218W WO 2016197937 A1 WO2016197937 A1 WO 2016197937A1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
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- the present invention relates to maps and navigation, and more particularly to maps and driving directions with trends in traffic conditions.
- the traffic condition is also one of the judgment references for judging whether a road section has a sudden or unexpected event.
- the occurrence of absolute congestion may indicate an unexpected event in a certain section of the road that affects traffic.
- the occurrence of certain emergencies may be obscured by normalized congestion; in this case, the trend of traffic conditions may be more meaningful.
- multiple candidate driving routes are provided. Generally, it will be distinguished by the options of “shortest time”, “shortest distance” and “whether to take the toll road”. But did not consider traffic The changing trend of the situation ignores the relative changes that people will be more sensitive. In fact, in the case of congestion, people may not choose the "shortest time” because the current route and time may be inaccurate, and the trend of traffic conditions will affect people's choice of driving route.
- a method for embodying a trend of a traffic condition on a map comprising the steps of: segmenting a road on a map; obtaining a current traffic condition of each segmented road and a traffic condition at a previous time And calculating a traffic trend change trend of each segment road based on the current traffic condition and the traffic time of the previous time; and presenting the calculated traffic state change trend of each segment road on the map.
- the traffic condition is a traffic speed.
- the traffic condition change trend of each segment road is calculated by comparing the current traffic speed with the traffic speed of the previous time.
- the traffic condition is a congestion index.
- the traffic state change trend of each segment road is calculated by comparing the current congestion index with the congestion index of the previous time.
- presenting the calculated traffic condition change trend of each segment road on the map comprises: presenting the segment road on the map with different traffic condition change trends in different colors.
- a method for selecting a driving route comprising the steps of: identifying a plurality of candidate driving routes on a map according to a departure place and a destination; acquiring current traffic conditions of each candidate driving route and The traffic condition of the previous time; calculating the traffic condition change trend of each candidate driving route based on the current traffic condition and the traffic condition of the previous time; and selecting the driving route according to the traffic situation change trend of each candidate driving route.
- each candidate driving route is segmented to obtain the current traffic condition of each segment of each candidate driving route and the traffic condition of the previous time. Based on each candidate driving route The traffic condition of each segment of each candidate driving route is calculated according to the current traffic condition of the segment and the traffic condition of the previous time.
- the driving route is selected according to the trend of the traffic condition of each segment of each of the candidate driving routes.
- the traffic situation change trend of each segment of each candidate driving route is weighted and summed according to each segment distance, and the comprehensive traffic condition change trend of each candidate driving route is obtained. Then, the driving route is selected according to the trend of the respective comprehensive traffic conditions of each candidate driving route.
- FIG. 1 is a flow chart of a method of embodying a trend of traffic conditions on a map in accordance with an embodiment of the present invention.
- FIG. 2 is a flow chart of a method of selecting a driving route in accordance with an embodiment of the present invention.
- FIG. 1 is a flow chart 100 of a method of embodying trends in traffic conditions on a map in accordance with an embodiment of the present invention.
- the road on the map is first segmented.
- the current electronic maps basically segment the roads on the map to indicate different traffic conditions.
- the segmentation of the road may be based on distance, for example, every 1 km or every 500 meters, 100 meters, 50 meters, 10 meters, or any other suitable distance as a segment; the segmentation of the road may also be based on the setting of the traffic light, for example, The road between every two (or more) traffic lights is a segment; the segmentation of the road can also be based on the planning of the block, for example, each block, the road between each intersection as a segment.
- step 103 the current traffic conditions of the respective segmented roads and the traffic conditions of the previous time are obtained.
- the physical quantity reflecting the traffic condition may be the driving speed or the congestion index.
- the speed of 40-60 km per hour can be considered as smooth.
- the speed of 20-40 km per hour can be considered as slow driving.
- the speed of 20 km or less can be considered as congestion.
- the speed of 5 km or less can be considered as serious. Congestion, and so on.
- the congestion index is used as the physical quantity reflecting the traffic situation. For example, a congestion index of 0-10 can be used.
- the congestion index may be obtained based on the traveling speed of the car passing through the road section within a certain period of time, or may be obtained based on the number of cars connected to each other through the end of the road section within a certain period of time.
- the current traffic condition such as the traffic speed or congestion index of the road section
- the current traffic condition can be obtained through public real-time data measured by the local traffic jurisdiction.
- the traffic condition of the road section at the previous time can be found, for example, the traffic speed or congestion index of the road section at that time.
- a period of time may refer to 5 minutes, 10 minutes, 15 minutes, or any other suitable period of time.
- the traffic condition change trend of each segmented road is calculated.
- the current traffic condition is compared to the traffic condition of the previous time to calculate a trend of traffic conditions for each of the segmented roads.
- the trend of traffic conditions may be a trend of speed, that is, comparing the current traffic speed with the traffic speed of the previous time.
- the current transit speed is communicated with the previous time.
- the difference between the line speeds is compared with the speed of the previous time, and the ratio obtained is the speed change trend index.
- the current transit speed of a road segment is 40 km/h, and the traffic speed before 5 minutes is 50 km/h.
- the trend of traffic conditions may be a trend of a congestion index (eg, between 0 and 10, the greater the value indicating more congestion), comparing the current congestion index with the congestion index of the previous time.
- the ratio of the current congestion index to the congestion index of the previous time is compared with the congestion index of the previous time, and the obtained ratio is the congestion change trend index.
- the current congestion index for a segment is 4.0
- the congestion index before 5.0 minutes is 5.0
- the above-mentioned speed change trend index and congestion change trend index are examples of trends in traffic conditions.
- the traffic conditions of the previous time may be a plurality of traffic conditions of the previous time. Therefore, it is possible to obtain a curve of the trend of traffic conditions by traffic conditions at several time points.
- the calculated traffic condition change trend of each segmented road is presented on the map.
- each segmented road on the map calculates its own traffic situation change trend.
- These traffic conditions need to be trended and presented on the map.
- the segmented roads with different traffic trends have different presentations on the map.
- the segmented roads on the map with opposite traffic trend trends are presented in different colors (eg, red and green).
- the presentation may be in addition to color, grayscale, texture, shading, flicker, arrows, or even a voice prompt, a voice prompt, a pitch change, or a tactile representation.
- traffic trends can be presented on the map along with current traffic conditions. For example, red, yellow, and green are used to represent the current traffic conditions, and the up or down arrows are used to indicate whether the traffic condition is better or worse.
- the length of the arrow can indicate a specific value, that is, the magnitude of the change.
- FIG. 2 is a flow chart 200 of a method of selecting a driving route in accordance with an embodiment of the present invention.
- a plurality of candidate driving routes are identified on the map according to the departure place and the destination.
- many electronic maps have the functions of travel planning or driving navigation.
- the car navigation system also has the functions of travel planning or driving navigation.
- a plurality of candidate driving routes are identified on the map according to the destination selected by the user and the current location of the user (departure place) or the departure place designated by the user. For example, three driving routes such as route 1, route 2, and route 3 are identified.
- step 203 the current traffic conditions of each of the candidate driving routes and the traffic conditions of the previous time are obtained.
- each candidate driving route is segmented to obtain a current traffic condition of each segment of each candidate driving route and a traffic condition of the previous time.
- a current traffic condition of each segment of each candidate driving route and a traffic condition of the previous time.
- a traffic condition change trend for each candidate driving route is calculated based on the current traffic condition and the traffic condition of the previous time.
- the traffic condition change trend for each segment of each candidate driving route is calculated based on the current traffic conditions of the respective segments of each of the candidate driving routes and the traffic conditions of the previous time.
- the current traffic condition is compared to the traffic condition of the previous time to calculate a trend of traffic conditions for each of the segmented roads.
- the traffic conditions of the previous time may be a plurality of traffic conditions of the previous time. Therefore, it is possible to obtain a curve of the trend of traffic conditions by traffic conditions at several time points.
- the driving route is selected according to the trend of the traffic condition of each of the candidate driving routes.
- the driving route is selected based on the trend of traffic conditions for each segment of each of the candidate driving directions. For example, traffic trend trends for each segment of each candidate driving route are presented on a map, as described in step 107 of the flow chart of FIG.
- the user can choose to view the absolute value of the current traffic situation, or select to view the changing trend of the traffic situation. In this way, people can feel the absolute quantity, and can also feel the relative quantity (that is, the change trend).
- the traffic trend trends of each segment of each candidate driving route are respectively weighted and summed according to the respective segment distances, and the integrated traffic state change trend of each candidate driving route is obtained.
- the traffic trend index (speed change trend index) is 0.0, +0.2, -0.1, respectively.
- the weighted summation of each segment distance is obtained.
- the driving route is selected according to the trend of the respective comprehensive traffic conditions of each candidate driving route.
- the speed change trend index is not only positive but also has a certain value, meaning that if you choose this road, you will feel more It's smoother; if you choose the next route, you will feel more congested.
- multiple candidate driving routes are provided.
- it will be distinguished by the options of “shortest time”, “shortest distance” and “whether to take the toll road”.
- it does not consider the current traffic situation and the traffic situation in the previous time, ignoring the trend of people's more sensitive changes.
- people may not choose the "shortest time”, because the difference in time is likely to be subtle, and the driving experience, especially the feeling of relative changes in congestion, will affect people's choice of driving routes.
- traffic conditions for example, “maximum integrated speed change trend index”, “minimum synthesis” Congestion change trend index”
- the user of the electronic navigation can make a choice by more respecting his or her own feelings (eg, time requirements, requirements for the length of the journey, or perceptions of changes in traffic conditions, or a combination of the above).
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Abstract
一种在地图上体现交通状况变化趋势的方法包括:将地图上的道路进行分段(101);获取各个分段道路的当前交通状况与之前时间的交通状况(103);基于当前交通状况与之前时间的交通状况,计算各个分段道路的交通状况变化趋势(105);以及将计算出的各个分段道路的交通状况变化趋势呈现在地图上(107)。一种选择行车路线方法包括:根据出发地和目的地,在地图上识别出多条候选行车路线(201);获取每条候选行车路线的当前交通状况与之前时间的交通状况(203);基于当前交通状况与之前时间的交通状况,计算每条候选行车路线的交通状况变化趋势(205);以及根据每条候选行车路线的交通状况变化趋势而选择行车路线(207)。
Description
本发明涉及地图与导航,更具体地,涉及带有交通状况变化趋势的地图与行车路线。
目前,电子地图广泛应用于移动应用或桌面应用中。只要网络支持,人们可以随时随地查看电子地图,查找自己想要了解的目的地。电子地图上可以显示当前交通状况。例如,绿色代表畅通路段,黄色代表行驶缓慢路段,红色则代表拥堵路段。人们在驾车出行时,可以参考地图上显示的交通状况,一方面可以对行程有一定的心理预期,另一方面可以在一定程度上选择相对顺畅的路线以避免拥堵。
在北京、上海等大都市,交通拥堵逐渐成为严重的城市问题。对于驾车出行的人来说,某些路段和某些时段(例如上下班早高峰)会呈现常态化拥堵。人们会渐渐地习惯或熟悉这些路段和这些时段的交通拥堵状况。在常态化拥堵的情况下,人们对于绝对交通状况即绝对拥堵数值已不一定敏感。相反地,如果交通状况发生细微的变化,例如,拥堵情况的轻重变化,则会使得人们感到敏感。另一方面,人们可能会在意交通状况的变化趋势,例如某个路段趋于拥堵或趋于畅通,对于人们出行具有更多的导向意义。
此外,交通状况也是判断某路段是否出现突发或意外事件的判断参考之一。其中,出现绝对拥堵,可能标志着某路段出现突发事件以致影响交通。然而,在早晚高峰时期,某些突发事件的发生可能被常态化拥堵现象所掩盖;在此情况下,交通状况的变化趋势可能更加具有意义。
在一些电子导航应用上,会提供多条候选行车路线。一般会遵循“最短时间”、“最短路程”、“是否走收费道路”等选项进行区分。但没有考虑交通
状况的变化趋势,忽视了人们会更敏感的相对变化情况。事实上,在拥堵状况下,人们不一定会选择“最短时间”,因为当前所选择的路线和时间可能不准确,而交通状况的变化趋势,则更会影响人们对行车路线的选择。
发明内容
考虑到以上的情况,希望在地图中加入反映交通状况变化趋势的元素。而且,当人们选择行车路线时,可以提供交通状况变化趋势供参考。
根据本发明的一个方面,提供了一种在地图上体现交通状况变化趋势的方法,包括如下步骤:将地图上的道路进行分段;获取各个分段道路的当前交通状况与之前时间的交通状况;基于当前交通状况与之前时间的交通状况,计算各个分段道路的交通状况变化趋势;以及将计算出的各个分段道路的交通状况变化趋势呈现在地图上。
优选地,所述交通状况是通行速度。通过将当前通行速度与之前时间的通行速度进行比较而计算各个分段道路的交通状况变化趋势。
优选地,所述交通状况是拥堵指数。通过将当前拥堵指数与之前时间的拥堵指数进行比较而计算各个分段道路的交通状况变化趋势。
优选地,将计算出的各个分段道路的交通状况变化趋势呈现在地图上包括:以不同颜色呈现具有不同交通状况变化趋势的地图上的分段道路。
根据本发明的另一个方面,提供了一种选择行车路线方法,包括如下步骤:根据出发地和目的地,在地图上识别出多条候选行车路线;获取每条候选行车路线的当前交通状况与之前时间的交通状况;基于当前交通状况与之前时间的交通状况,计算每条候选行车路线的交通状况变化趋势;以及根据每条候选行车路线的交通状况变化趋势而选择行车路线。
优选地,将每条候选行车路线进行分段,获取每条候选行车路线的各个分段的当前交通状况与之前时间的交通状况。基于每条候选行车路线的各个
分段的当前交通状况与之前时间的交通状况,计算每条候选行车路线的各个分段的交通状况变化趋势。
优选地,根据每条候选行车路线的各个分段的交通状况变化趋势而选择行车路线。
优选地,将每条候选行车路线的各个分段的交通状况变化趋势分别按照各个分段距离进行加权求和,得到每条候选行车路线各自的综合交通状况变化趋势。然后,根据每条候选行车路线各自的综合交通状况变化趋势而选择行车路线。
下面参考附图结合实施例说明本发明。在附图中:
图1是根据本发明实施例的在地图上体现交通状况变化趋势的方法的流程图。
图2是根据本发明实施例的选择行车路线方法的流程图。
下面将详细描述本发明的具体实施例。
图1是根据本发明实施例的在地图上体现交通状况变化趋势的方法的流程图100。
根据图1中所示,在步骤101,首先将地图上的道路进行分段。目前的电子地图基本都会对地图上的道路进行分段,用来标注不同的交通状况。例如,道路的分段可以基于距离,例如,每1公里或每500米、100米、50米、10米或者任意其他适当距离作为一段;道路的分段也可以基于交通信号灯的设置,例如,每两个(或更多个)交通信号灯之间的道路作为一段;道路的分段也可以基于街区的规划,例如,每个街区、每个十字路口之间的道路作为一段。理论上,道路分段越细,所反映出来的交通状况也就越精确,但同时对于电子地图的计算与存储的要求也就越高。此外,应该注意,在同一
条道路上或同一条路线上,道路的分段标准可以不同,因此,有的路段是500米,有的路段1公里。
在步骤103,获取各个分段道路的当前交通状况与之前时间的交通状况。
获取道路的交通状况的方式有很多种。例如,考察一定时间内通过此路段的汽车的行驶速度、一定时间内通过此路段的首尾相接的汽车的数目等。根据不同的方式,反映交通状况的物理量可以是行车速度,也可以是拥堵指数。例如,以行车速度作为反映交通状况的物理量,时速40-60公里可认为是畅通,时速20-40公里可认为是行驶缓慢,时速20公里以下可认为是拥堵,时速5公里以下可认为是严重拥堵,等等。在另一例子中,以拥堵指数作为反映交通状况的物理量,例如,可以使用0-10的拥堵指数,拥堵指数越大,表明交通状况越拥堵;反之,拥堵指数越小,则表明交通状况越通畅。拥堵指数可以基于一定时间内通过此路段的汽车的行驶速度得到,也可以基于一定时间内通过此路段的首尾相接的汽车的数目等得到。
在步骤103中,可以通过当地交通管辖机关实测的公开实时数据而得到当前交通状况,例如该路段的通行速度或拥堵指数。同时,可以根据历史大数据,查到该路段在之前时间的交通状况,例如该路段在当时的通行速度或拥堵指数。
在本发明中,一段时间可以指的是5分钟、10分钟、15分钟或者任意其他适当时间段之前。
在步骤105,基于当前交通状况与之前时间的交通状况,计算各个分段道路的交通状况变化趋势。在一个实施例中,将当前交通状况与之前时间的交通状况进行比较,以计算各个分段道路的交通状况变化趋势。
例如,交通状况变化趋势可以是速度的变化趋势,即将当前通行速度与之前时间的通行速度进行比较。具体地说,将当前通行速度与之前时间的通
行速度之差与之前时间的通行速度相比,得到的比值为速度变化趋势指数。例如,某一路段的当前通行速度为50公里/小时,5分钟之前的通行速度为40公里/小时,则速度变化趋势指数为:(50-40)/40=+0.25。在另一个例子中,某一路段的当前通行速度为40公里/小时,5分钟之前的通行速度为50公里/小时,则速度变化趋势指数为:(40-50)/50=-0.20。也就是说,速度变化趋势指数的符号(+或-)表示速度是在提高还是降低,而具体的数值则是变化的程度。
类似地,交通状况变化趋势可以是拥堵指数(例如,0到10之间,数值越大表示越拥堵)的变化趋势,即将当前拥堵指数与之前时间的拥堵指数进行比较。具体地说,将当前拥堵指数与之前时间的拥堵指数之差与之前时间的拥堵指数相比,得到的比值为拥堵变化趋势指数。例如,某一路段的当前拥堵指数为5.0,5分钟之前的拥堵指数为4.0,则拥堵变化趋势指数为:(5.0-4.0)/4.0=+0.25。在另一个例子中,某一路段的当前拥堵指数为4.0,5分钟之前的拥堵指数为5.0,则拥堵变化趋势指数为:(4.0-5.0)/5.0=-0.20。也就是说,拥堵变化趋势指数的符号(+或-)表示拥堵是在加剧还是缓解,而具体的数值则是变化的程度。
上述的速度变化趋势指数和拥堵变化趋势指数都是交通状况变化趋势的示例。
此外,之前时间的交通状况可能是多个之前时间的交通状况。因此,可以通过几个时间点的交通状况而得到交通状况变化趋势的曲线。
在步骤107,将计算出的各个分段道路的交通状况变化趋势呈现在地图上。通过以上的步骤,地图上的每个分段道路都计算出了各自的交通状况变化趋势。需要将这些交通状况变化趋势,在地图上进行呈现。其中,针对交通状况变化趋势不同的分段道路,在地图上分别进行不同的呈现。在一个实施例中,以不同颜色(例如红色和绿色)呈现具有相反交通状况变化趋势(变化趋势指数为正或负)的地图上的分段道路。同时,用颜色的深浅(例如红色的深浅与绿色的深浅)来呈现具体的变化趋势指数的数值(例如,+1.0
的绿色比+0.5的绿色更深,表示交通状态快速转好)。本领域技术人员将理解,呈现方式除了颜色之外,还可以是灰度、纹理、阴影、闪烁、箭头,甚至可以是声音提示、语音提示、音调变化,或者触觉方面的区分呈现。
而且,交通状况变化趋势可以与当前交通状况一起呈现在地图上。例如,用红色、黄色、绿色来代表当前交通状况,同时用上或下的箭头来表示交通状况变化趋势是更好还是更差,箭头的长度可以表示具体的数值,即变化幅度。
通过图1的流程图100的方法,人们更易于通过观看地图来了解交通状况。例如,用户在选择查看交通状况时,可以选择查看当前交通状况的绝对数值,也可以选择查看交通状况的变化趋势,还可以二者一起观看。这样,人们可以感受到绝对量,也可以感受到相对量即趋势。
例如,对于交通状况变化趋势出现异常(变化特别大,即变化趋势的数值特别大)的路段,有可能出现一些突发的情况,值得相关部门参考其他情报来迅速部署做出反应。例如,着火、下水道堵塞、交通设施或广告牌倒塌、人员聚集、交通事故等均会造成交通状况异常,消防等相关部门可以及时针对出事地点排除事故。
图2是根据本发明实施例的选择行车路线方法的流程图200。
根据图2中所示,在步骤201,根据出发地和目的地,在地图上识别出多条候选行车路线。目前许多电子地图都具有行程规划或行车导航的功能,此外,车载导航仪也都具有行程规划或行车导航的功能。根据用户所选择的目的地以及用户当前位置(出发地)或者用户指定的出发地,在地图上识别出几条候选行车路线。例如,识别出路线1、路线2、路线3等三条行车路线。
在步骤203,获取每条候选行车路线的当前交通状况与之前时间的交通状况。
在一个实施例中,将每条候选行车路线进行分段,获取每条候选行车路线的各个分段的当前交通状况与之前时间的交通状况。关于获取每条候选行车路线的各个分段的当前交通状况与之前时间的交通状况的方式,可以参照图1的流程图中步骤103的具体讨论。
在步骤205,基于当前交通状况与之前时间的交通状况,计算每条候选行车路线的交通状况变化趋势。
在一个实施例中,基于每条候选行车路线的各个分段的当前交通状况与之前时间的交通状况,计算每条候选行车路线的各个分段的交通状况变化趋势。在一个实施例中,将当前交通状况与之前时间的交通状况进行比较,以计算各个分段道路的交通状况变化趋势。可以参照图1的流程图中步骤105的具体讨论。此外,之前时间的交通状况可能是多个之前时间的交通状况。因此,可以通过几个时间点的交通状况而得到交通状况变化趋势的曲线。
在步骤207,根据每条候选行车路线的交通状况变化趋势而选择行车路线。
在一个实施例中,根据每条候选行车路线的各个分段的交通状况变化趋势而选择行车路线。例如,将每条候选行车路线的各个分段的交通状况变化趋势呈现在地图上,如图1的流程图中的步骤107所述。用户在查看每条候选行车路线的交通状况时,可以选择查看当前交通状况的绝对数值,也可以选择查看交通状况的变化趋势。这样,人们可以感受到绝对量,也可以感受到相对量(即变化趋势)。
在另一个实施例中,将每条候选行车路线的各个分段的交通状况变化趋势分别按照各个分段距离进行加权求和,得到每条候选行车路线各自的综合交通状况变化趋势。例如,一条候选行车路线中共有三个分段,分段的距离分别为500米、1公里、500米,交通状况变化趋势指数(速度变化趋势指数)分别为0.0、+0.2、-0.1,则按照各个分段距离进行加权求和后得到的
该条候选行车路线的综合交通状况变化趋势指数(速度变化趋势指数)为:0.0*1/4+0.2*2/4-0.1*1/4=+0.075。另一条候选行车路线中共有四个分段,分段距离都是500米,交通状况变化趋势指数(速度变化趋势指数)分别是-0.1、-0.1、-0.2、+0.2,则按照各个分段距离进行加权求和后得到的该条候选行车路线的综合交通状况变化趋势指数(速度变化趋势指数)为:-0.1*1/4-0.1*1/4-0.2*1/4+0.2*1/4=-0.05。
然后,根据每条候选行车路线各自的综合交通状况变化趋势而选择行车路线。在以上的例子中,在交通状况变化趋势的意义上来说,更优选选择前一条路线,因为其速度变化趋势指数不仅为正,而且具有一定数值,意味着如果选择这条道路,会感觉更为通畅一些;而如果选择后一条路线,会感觉变得拥堵一些。
由于用户一般对于一条或几条熟悉的路线会花费多长时间心中基本有数,通过上面的综合交通状况变化趋势的数值,用户很容易估计出如果当前选择某条路线所花费时间。即使不用估计所花费时间,只要知道了交通状况变化趋势,用户就可以对路上的交通状况有了一个预期,由此进行选择。
在一些电子导航应用上,会提供多条候选行车路线。一般会遵循“最短时间”、“最短路程”、“是否走收费道路”等选项进行区分。但没有考虑当前交通状况与之前时间的交通状况的对比情况,忽视了人们会更敏感的变化趋势情况。事实上,在拥堵状况下,人们不一定会选择“最短时间”,因为时间的差别很可能细微,而驾驶感受,特别是对拥堵相对变化的感受,则更会影响人们对行车路线的选择。根据本发明,在这些导航电子应用上,除了“最短时间”、“最短路程”等选项之外,还可加入交通状况变化趋势的选项(例如,“最大综合速度变化趋势指数”、“最小综合拥堵变化趋势指数”),或者,直接在每条候选路线的说明中给出交通状况变化趋势(例如,“综合速度变化趋势指数=+0.075”、“综合拥堵变化趋势指数=-0.05”)。由此,电子导航的用户可以更尊重自己的感受(例如,对于时间的要求、对于路程长度的要求、或对于交通状况变化的感受,或者以上综合考虑)来做出选择。
上面已经描述了本发明的实施例。但是本发明的精神和范围不限于此。本领域技术人员将能够根据本发明的教导而做出更多的应用,而都在本发明的范围之内。
Claims (10)
- 一种在地图上体现交通状况变化趋势的方法,包括如下步骤:将地图上的道路进行分段;获取各个分段道路的当前交通状况与之前时间的交通状况;基于当前交通状况与之前时间的交通状况,计算各个分段道路的交通状况变化趋势;以及将计算出的各个分段道路的交通状况变化趋势呈现在地图上。
- 根据权利要求1所述的方法,其中,所述交通状况是通行速度。
- 根据权利要求2所述的方法,其中,通过将当前通行速度与之前时间的通行速度进行比较而计算各个分段道路的交通状况变化趋势。
- 根据权利要求1所述的方法,其中,所述交通状况是拥堵指数。
- 根据权利要求4所述的方法,其中,通过将当前拥堵指数与之前时间的拥堵指数进行比较而计算各个分段道路的交通状况变化趋势。
- 根据权利要求1所述的方法,其中,将计算出的各个分段道路的交通状况变化趋势呈现在地图上包括:以不同颜色呈现具有不同交通状况变化趋势的地图上的分段道路。
- 一种选择行车路线方法,包括如下步骤:根据出发地和目的地,在地图上识别出多条候选行车路线;获取每条候选行车路线的当前交通状况与之前时间的交通状况;基于当前交通状况与之前时间的交通状况,计算每条候选行车路线的交通状况变化趋势;以及根据每条候选行车路线的交通状况变化趋势而选择行车路线。
- 根据权利要求7所述的方法,其中:获取每条候选行车路线的当前交通状况与之前时间的交通状况,包括:将每条候选行车路线进行分段,获取每条候选行车路线的各个分段的当前交通状况与之前时间的交通状况;以及基于当前交通状况与之前时间的交通状况,计算每条候选行车路线的交通状况变化趋势,包括:基于每条候选行车路线的各个分段的当前交通状况与之前时间的交通状况,计算每条候选行车路线的各个分段的交通状况变化趋势。
- 根据权利要求8所述的方法,其中,根据每条候选行车路线的交通状况变化趋势而选择行车路线,包括:根据每条候选行车路线的各个分段的交通状况变化趋势而选择行车路线。
- 根据权利要求8所述的方法,其中,根据每条候选行车路线的交通状况变化趋势而选择行车路线,包括:将每条候选行车路线的各个分段的交通状况变化趋势分别按照各个分段距离进行加权求和,得到每条候选行车路线各自的综合交通状况变化趋势;以及根据每条候选行车路线各自的综合交通状况变化趋势而选择行车路线。
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US20230230472A1 (en) * | 2022-01-14 | 2023-07-20 | Here Global B.V. | Method and apparatus for road segment traffic tendency determinations |
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CN106052709A (zh) * | 2016-05-16 | 2016-10-26 | 腾讯科技(深圳)有限公司 | 一种拥塞信息的处理方法及装置 |
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH09113290A (ja) * | 1995-10-18 | 1997-05-02 | Sumitomo Electric Ind Ltd | 道路地図表示装置 |
CN1576789A (zh) * | 2003-07-30 | 2005-02-09 | 日本先锋公司 | 交通状况报知设备、***、方法、程序和记录介质 |
CN1828226A (zh) * | 2005-09-28 | 2006-09-06 | 佛山市顺德区瑞图万方科技有限公司 | 实时路况信息***及其导航方法 |
CN101185107A (zh) * | 2005-05-18 | 2008-05-21 | Lg电子株式会社 | 提供关于交通拥塞趋势的信息及其使用 |
CN104157139A (zh) * | 2014-08-05 | 2014-11-19 | 中山大学 | 一种交通拥堵预测方法及可视化方法 |
CN104848871A (zh) * | 2015-06-09 | 2015-08-19 | 刘光明 | 带有交通状况变化趋势的地图与行车路线 |
Family Cites Families (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20000019726A (ko) * | 1998-09-15 | 2000-04-15 | 이흥수 | 교통 정보를 제공하는 방법 및 교통 정보 단말기 |
DE10324961A1 (de) * | 2003-06-03 | 2004-12-23 | Robert Bosch Gmbh | System und Verfahren zum Berechnen und/oder zum Ermitteln von Routen |
JP2005134427A (ja) * | 2003-10-28 | 2005-05-26 | Pioneer Electronic Corp | 交通状況報知装置、そのシステム、その方法、そのプログラム、および、そのプログラムを記録した記録媒体 |
KR100990446B1 (ko) * | 2008-02-27 | 2010-10-29 | 오영섭 | 법선 분할법을 이용하는 최단 경로 선택 방법 및 장치 |
CN101546481B (zh) * | 2009-04-30 | 2010-11-10 | 江苏新科软件有限公司 | 根据实时交通信息进行导航及显示的方法 |
CN101667339B (zh) * | 2009-09-23 | 2011-11-09 | 北京交通大学 | 基于实测的城市道路区域交通服务水平建模***和方法 |
JP5388924B2 (ja) * | 2010-03-29 | 2014-01-15 | 株式会社デンソーアイティーラボラトリ | 交通量予測装置、交通量予測方法およびプログラム |
JP5724110B2 (ja) * | 2011-07-07 | 2015-05-27 | 株式会社日立製作所 | 経路作成システム、経路作成方法及びプログラム |
JP6029094B2 (ja) * | 2012-01-17 | 2016-11-24 | インターナショナル・ビジネス・マシーンズ・コーポレーションInternational Business Machines Corporation | 運転者の経路選択の個性を推定する方法、装置及びコンピュータプログラム |
CN103377552B (zh) * | 2012-04-13 | 2016-03-16 | 日立(中国)研究开发有限公司 | 交通信息预测装置及方法、终端设备及服务器 |
CN104101347A (zh) * | 2013-04-10 | 2014-10-15 | 夏汇 | 基于现代控制理论状态方程的最佳动态导航方法 |
CN104567897A (zh) * | 2013-10-16 | 2015-04-29 | 大陆汽车投资(上海)有限公司 | 结合路况预测的路径规划方法及导航装置 |
CN104567898B (zh) * | 2013-10-17 | 2017-09-12 | ***通信集团公司 | 一种交通路线规划方法、***及装置 |
CN103712630A (zh) * | 2014-01-09 | 2014-04-09 | 上海安吉星信息服务有限公司 | 一种车辆导航***及车辆导航方法 |
CN104050809B (zh) * | 2014-06-03 | 2016-07-20 | 北京航天福道高技术股份有限公司 | 交通状况自动分析预测方法 |
CN104408916B (zh) * | 2014-10-31 | 2017-07-11 | 重庆大学 | 基于路段速度、流量数据的道路交通运行状态评估方法 |
-
2015
- 2015-06-09 CN CN201510312371.8A patent/CN104848871B/zh active Active
-
2016
- 2016-06-08 WO PCT/CN2016/085218 patent/WO2016197937A1/zh active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH09113290A (ja) * | 1995-10-18 | 1997-05-02 | Sumitomo Electric Ind Ltd | 道路地図表示装置 |
CN1576789A (zh) * | 2003-07-30 | 2005-02-09 | 日本先锋公司 | 交通状况报知设备、***、方法、程序和记录介质 |
CN101185107A (zh) * | 2005-05-18 | 2008-05-21 | Lg电子株式会社 | 提供关于交通拥塞趋势的信息及其使用 |
CN1828226A (zh) * | 2005-09-28 | 2006-09-06 | 佛山市顺德区瑞图万方科技有限公司 | 实时路况信息***及其导航方法 |
CN104157139A (zh) * | 2014-08-05 | 2014-11-19 | 中山大学 | 一种交通拥堵预测方法及可视化方法 |
CN104848871A (zh) * | 2015-06-09 | 2015-08-19 | 刘光明 | 带有交通状况变化趋势的地图与行车路线 |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20230230472A1 (en) * | 2022-01-14 | 2023-07-20 | Here Global B.V. | Method and apparatus for road segment traffic tendency determinations |
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