JP4399283B2 - Station congestion estimation system - Google Patents

Station congestion estimation system Download PDF

Info

Publication number
JP4399283B2
JP4399283B2 JP2004022507A JP2004022507A JP4399283B2 JP 4399283 B2 JP4399283 B2 JP 4399283B2 JP 2004022507 A JP2004022507 A JP 2004022507A JP 2004022507 A JP2004022507 A JP 2004022507A JP 4399283 B2 JP4399283 B2 JP 4399283B2
Authority
JP
Japan
Prior art keywords
station
train
time
passenger
passengers
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
JP2004022507A
Other languages
Japanese (ja)
Other versions
JP2005212641A (en
Inventor
理 高橋
昌 明日香
喜代俊 駒谷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mitsubishi Electric Corp
Original Assignee
Mitsubishi Electric Corp
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 Mitsubishi Electric Corp filed Critical Mitsubishi Electric Corp
Priority to JP2004022507A priority Critical patent/JP4399283B2/en
Publication of JP2005212641A publication Critical patent/JP2005212641A/en
Application granted granted Critical
Publication of JP4399283B2 publication Critical patent/JP4399283B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Images

Landscapes

  • Train Traffic Observation, Control, And Security (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Description

本発明は、駅の設備や列車の運行状況から得られる旅客データを利用した駅の混雑度合いを推定することができる駅混雑度推定システムに関するものである。   The present invention relates to a station congestion degree estimation system that can estimate the degree of congestion of a station using passenger data obtained from station facilities and train operation conditions.

従来の混雑度推定システムは、赤外線センサを利用して人間の検知や人数計測を行って混雑の度合いを推定している（例えば、特許文献１参照）。また、他の従来では、あらかじめ利用者１人につき１台ずつ保持させた携帯端末から出力される電波を受信することによって、滞留人数の計測を行っている（例えば、特許文献２参照）。   The conventional congestion degree estimation system estimates the degree of congestion by detecting humans and counting people using an infrared sensor (see, for example, Patent Document 1). In another conventional technique, the number of staying persons is measured by receiving radio waves output from a portable terminal that is held in advance by one user per user (see, for example, Patent Document 2).

特開平０８−１６１２９２号公報Japanese Patent Laid-Open No. 08-161292 特開２００２−２８８３８５号公報JP 2002-288385 A

従来の混雑推定システムでは、旅客が乗り降りする駅のような、不特定多数の旅客が移動する場所の場合、各旅客に対して個別の情報受発信装置を用意することは困難であり、現実的ではない。また、センサを利用した人数計測を行う場合には、駅構内のいたるところにセンサを設置する必要がある。さらに、駅構内では、駅外からの旅客流入や列車の到着などによって人の流れ(人数や方向)がリアルタイムに変わるため、情報受発信装置やセンサによる人数計測では、旅客の移動方向や将来的な人の流れを予測することは困難である。   In a conventional congestion estimation system, it is difficult to prepare an individual information transmission / reception device for each passenger in places where an unspecified number of passengers move, such as stations where passengers get on and off. is not. Moreover, when performing the number of persons measurement using a sensor, it is necessary to install a sensor in every place in a station premises. In addition, the flow of people (number of people and directions) changes in real time due to passenger inflows from outside the station and arrival of trains at the station premises. It is difficult to predict the flow of new people.

この発明は、上記のような問題点を解決するためになされたものであり、駅内を移動する不特定多数の旅客の人数を簡便に推測することができる駅混雑度推定システムを提供することを目的とするものである。   The present invention was made to solve the above-described problems, and provides a station congestion degree estimation system that can easily estimate the number of unspecified number of passengers moving in a station. It is intended.

本発明は、旅客が駅改札口から入場し列車の発着するホームから所望の列車に乗車する駅内における旅客の滞留人数を推定する駅混雑度推定システムにおいて、駅改札口における旅客の流入を検知する流入検出部と、旅客が駅改札口からホームに到達する平均到達時間を格納する平均到達時間格納部と、各列車の駅の発車時刻の情報を格納する運行情報格納部と、駅内の滞留人数を推定する任意の時刻に平均到達時間を加算した時刻より前の時刻で一番近い列車の発車時刻を運行情報格納部から抽出し、発車時刻の平均到達時間前の時刻から任意の時刻までに流入検出部にて検出された旅客の流入人数を任意の時刻の駅内の滞留人数として推定する滞留人数推定部とを備えたものである。   The present invention detects a passenger inflow at a station ticket gate in a station congestion estimation system that estimates the number of passengers staying in a station where a passenger enters a desired train from a platform where a passenger enters and arrives at the station ticket gate. An inflow detection section that stores information, an average arrival time storage section that stores the average arrival time for passengers to reach the platform from the ticket gate, an operation information storage section that stores information about the departure time of each train station, The departure time of the nearest train is extracted from the operation information storage unit at a time before the time obtained by adding the average arrival time to the arbitrary time for estimating the number of people staying, and any time from the time before the average arrival time of the departure time And a staying number estimating unit that estimates the number of passengers inflow detected by the inflow detection unit as a staying number in the station at an arbitrary time.

本発明の駅混雑度推定システムは、旅客が駅改札口から入場し列車の発着するホームから所望の列車に乗車する駅内における旅客の滞留人数を推定する駅混雑度推定システムにおいて、駅改札口における旅客の流入を検知する流入検出部と、旅客が駅改札口からホームに到達する平均到達時間を格納する平均到達時間格納部と、各列車の駅の発車時刻の情報を格納する運行情報格納部と、駅内の滞留人数を推定する任意の時刻に平均到達時間を加算した時刻より前の時刻で一番近い列車の発車時刻を運行情報格納部から抽出し、発車時刻の平均到達時間前の時刻から任意の時刻までに流入検出部にて検出された旅客の流入人数を任意の時刻の駅内の滞留人数として推定する滞留人数推定部とを備え、駅内における滞留人数を簡便に推定することができるものである。   The station congestion degree estimation system according to the present invention is a station congestion degree estimation system that estimates the number of passengers staying in a station where a passenger enters a desired train from a platform where the passenger enters and arrives at the station ticket gate. An inflow detection unit that detects the inflow of passengers, an average arrival time storage unit that stores the average arrival time for passengers to reach the platform from the ticket gate, and an operation information storage that stores information on the departure times of the stations of each train The departure time of the nearest train is extracted from the operation information storage unit at a time before the time obtained by adding the average arrival time to any time that estimates the number of people in the station and the station, and before the average arrival time of the departure time Equipped with a staying number estimation unit that estimates the number of passengers inflow detected by the inflow detection unit from any time to any time as a staying number in the station at any time, and easily estimates the number of staying in the station To do It is those that can.

実施の形態１．
以下、この発明の実施の形態について説明する。図１はこの発明の実施の形態１による駅混雑度推定システムを説明するための図である。図において、本発明の駅混雑度推定システム１は、旅客が駅改札口２から入場し列車３の発着するホーム４ａ、４ｂから所望の列車３に乗車する駅５内における旅客の滞留人数を推定するものである。 Embodiment 1 FIG.
Embodiments of the present invention will be described below. FIG. 1 is a diagram for explaining a station congestion degree estimation system according to Embodiment 1 of the present invention. In the figure, the station congestion estimation system 1 of the present invention estimates the number of passengers staying in the station 5 where the passenger enters the desired train 3 from the platforms 4a and 4b where the passenger enters from the ticket gate 2 and arrives and departs from the train 3. To do.

そして、駅混雑度推定システム１は、駅改札口２に設置されているたとえば自動改札機にて得られる情報から、旅客の自動改札機の通過時刻とともに人数をカウントし、駅５内への旅客の流入を検知する流入検出部６と、あらかじめ旅客が駅改札口２からホーム４ａ、４ｂに到達するまでに要する時間を平均到達時間ｔ１として格納する平均到達時間格納部７と、各列車３の駅５の発車時刻の情報を格納する運行情報格納部８と、流入検出部６と、平均到達時間格納部７と、運行情報格納部８とから得られる各情報を用いて駅５内の滞留人数を推定する滞留人数推定部９とを備えている。   The station congestion degree estimation system 1 counts the number of passengers together with the passage time of the passenger's automatic ticket gate from the information obtained by, for example, an automatic ticket gate installed at the station ticket gate 2, and the passengers entering the station 5 An inflow detection unit 6 for detecting the inflow of the train, an average arrival time storage unit 7 for storing the time required for the passenger to reach the platforms 4a and 4b from the station ticket gate 2 in advance as an average arrival time t1, Stay in the station 5 using each information obtained from the operation information storage unit 8 for storing information of the departure time of the station 5, the inflow detection unit 6, the average arrival time storage unit 7, and the operation information storage unit 8. A staying number estimating unit 9 for estimating the number of persons is provided.

次に、上記のように構成された実施の形態１の駅混雑度推定システムの駅内の滞留人数の推定方法について説明する。まず、駅改札口２では流入してくる旅客の流入状況を時刻とともにカウントし、流入検出部６にて検出している。そして、駅改札口２から流入した旅客は平均到達時間ｔ１を経た後、ホーム４ａ、４ｂに到達する。そして、ホーム４ａ、４ｂに到着した旅客はその後にホームに入ってきた、または到着している列車３に乗車する。よって、駅改札口２に列車３の発車時刻より平均到着時間ｔ１より前に流入した旅客が、その列車３に乗車することができるものと判断する。   Next, a method for estimating the number of people staying in the station of the station congestion degree estimation system according to Embodiment 1 configured as described above will be described. First, at the station ticket gate 2, the inflow situation of the inflowing passenger is counted together with the time and detected by the inflow detection unit 6. And the passenger who flowed in from the station ticket gate 2 reaches the platforms 4a and 4b after an average arrival time t1. Then, the passengers who have arrived at the homes 4a and 4b get on the train 3 that has subsequently entered or has arrived at the home. Therefore, it is determined that a passenger who has flowed into the station ticket gate 2 before the average arrival time t1 from the departure time of the train 3 can board the train 3.

以上のような考えに基づいて、任意の時刻ｔ２の駅５内の滞留人数を推定する場合について説明する。まず、滞留人数推定部９は、任意の時刻ｔ２に平均到達時間ｔ１を加算した時刻（ｔ２＋ｔ１）＝ｔ３より前の時刻で、一番近い列車の発車時刻ｔ４を運行情報格納部８から抽出する。次に、発車時刻ｔ４の平均到達時間ｔ１前の時刻（ｔ４−ｔ１）＝ｔ５から任意の時刻ｔ２までに流入検出部６にて検出された旅客の流入人数を検出する。そして、この検出人数を任意の時刻ｔ１の駅５内の滞留人数として推定する。   A case where the number of people staying in the station 5 at an arbitrary time t2 is estimated based on the above-described idea will be described. First, the staying person estimation unit 9 extracts the departure time t4 of the nearest train from the operation information storage unit 8 at a time before the time (t2 + t1) = t3 obtained by adding the average arrival time t1 to the arbitrary time t2. . Next, the inflow number of passengers detected by the inflow detection unit 6 from the time (t4−t1) = t5 before the average arrival time t1 of the departure time t4 to the arbitrary time t2 is detected. Then, this detected number of people is estimated as the number of people staying in the station 5 at an arbitrary time t1.

また、他の推定方法としては、任意の列車３の発車時刻ｔ６と任意の列車３の発車時刻ｔ６の次に発車する次任意の列車３１（ここでは説明の便宜上”次任意の列車３１”として説明する）の発車時刻ｔ７との間に駅５内に滞留する滞留人数を推定する場合について説明する。まず、滞留人数推定部９は、運行情報格納部８から任意の列車３の発車時刻ｔ６と任意の列車３の発車時刻ｔ６の次に発車する次任意の列車３１の発車時刻ｔ７とを抽出する。次に、任意の列車３の発車時刻ｔ６の平均到達時間ｔ１前の時刻（ｔ６−ｔ１）＝ｔ８から次任意の列車３１の発車時刻ｔ７の平均到達時間ｔ１前の時刻（ｔ７−ｔ１）＝ｔ９まで流入検出部６にて検出された旅客の流入人数を検出する。そして、この流入人数を任意の列車３から次任意の列車３１までの駅５内の滞留人数として推定する。   In addition, as another estimation method, the next arbitrary train 31 that departs after the departure time t6 of the arbitrary train 3 and the departure time t6 of the arbitrary train 3 (here, as the “next arbitrary train 31” for convenience of explanation) A case will be described in which the number of people staying in the station 5 between the departure time t7 (explained) is estimated. First, the staying number estimating unit 9 extracts the departure time t6 of the arbitrary train 3 and the departure time t7 of the next arbitrary train 31 that departs after the departure time t6 of the arbitrary train 3 from the operation information storage unit 8. . Next, the time before the average arrival time t1 of the departure time t6 of any train 3 (t6-t1) = t8 before the average arrival time t1 of the departure time t7 of the next arbitrary train 31 (t7-t1) = The number of passengers inflow detected by the inflow detection unit 6 until t9 is detected. Then, the number of people inflow is estimated as the number of people staying in the station 5 from any train 3 to the next arbitrary train 31.

上記のように構成された実施の形態１の駅混雑度推定システムは、任意の時刻の駅内の旅客の滞留人数、および、任意の列車の発車時刻から次任意の列車の発車時刻までの駅内の旅客の滞留人数を簡便に推測することができる。よって、任意の時刻の駅内の人数を推定し、許容範囲の人数を超える場合には、駅員による駅内の整理を行ったり、駅内への流入を制限したりなどさまざなま対策をとることができる。また、任意の列車の発車時刻から次任意の列車の発車時刻までの駅内の旅客の人数を推定し、ダイヤ改正を行う際の参考として利用することなど様々なことへの利用が考えられる。   The station congestion degree estimation system according to Embodiment 1 configured as described above includes the number of passengers staying in a station at an arbitrary time, and a station from the departure time of an arbitrary train to the departure time of the next arbitrary train. The number of passengers staying inside can be easily estimated. Therefore, if the number of people in the station at any given time is estimated and the number of people exceeds the allowable range, various measures are taken such as organizing the station by station staff or restricting inflow into the station. be able to. In addition, it can be used for various purposes such as estimating the number of passengers in a station from the departure time of an arbitrary train to the departure time of the next arbitrary train, and using it as a reference when the schedule is revised.

実施の形態２．
図２はこの発明の実施の形態２による駅混雑度推定システムを説明するための図である。図において、本発明の駅混雑度推定システム１００は、多数の旅客が駅改札口２から入場し列車３の発着するホーム４ａ、４ｂから各旅客が所望の列車３に乗車する駅５内における旅客の滞留人数を推定するものである。 Embodiment 2. FIG.
FIG. 2 is a diagram for explaining a station congestion degree estimation system according to Embodiment 2 of the present invention. In the figure, a station congestion degree estimation system 100 according to the present invention includes a passenger in a station 5 where a large number of passengers enter from a station ticket gate 2 and each passenger gets on a desired train 3 from platforms 4a and 4b where trains 3 arrive and depart. The number of people staying in is estimated.

そして、駅混雑度推定システム１００は、以下のものにて構成されている。ただし、上記実施の形態１と同様の部分は同一符号を付して説明を省略する。駅改札口２に設置されているたとえば自動改札機にて得られる情報を、旅客の自動改札機の通過時刻とともに駅改札口２における旅客の流入・流出として検知する流入流出検出部１０と、列車の駅の発車時刻および到着時刻の情報を格納する運行情報格納部８０と、任意の列車３が駅５に到着する前の車両重量を重量センサ１１から検出し、この車両重量から任意の列車３内の到着前旅客数（Ｘ１）を検出する第１の検出部１２とを備える。   And the station congestion degree estimation system 100 is comprised with the following. However, the same parts as those in the first embodiment are denoted by the same reference numerals and the description thereof is omitted. For example, an inflow / outflow detection unit 10 that detects information obtained by, for example, an automatic ticket gate installed at the station ticket gate 2 as passenger inflow / outflow at the station ticket gate 2 together with the passage time of the passenger's automatic ticket gate, The operation information storage unit 80 for storing information on the departure time and arrival time of the station and the vehicle weight before any train 3 arrives at the station 5 are detected from the weight sensor 11, and the arbitrary train 3 is detected from the vehicle weight. And a first detector 12 for detecting the number of passengers before arrival (X1).

さらに、任意の列車３が駅５を発車した後の車両重量を重量センサ１１から検出し、この車両重量から任意の列車３内の出発後旅客数（Ｘ２）を検出する第２の検出部１２と、任意の列車３の発車時刻ｔ１０を運行情報格納部８０から抽出しこの発車時刻ｔ１０の平均到達時間ｔ１前の時刻（ｔ１０−ｔ１）＝ｔ１１より後に流入流出検出部１０にて検出された旅客の流入人数（Ｙ１）を検出する第３の検出部１４と、任意の列車３の到着時刻を運行情報格納部８０から抽出しこの到着時刻ｔ１２の平均到達時間ｔ１後の時刻（ｔ１２＋ｔ１）＝ｔ１３より後に流入流出検出部１０にて検出された旅客の流出人数（Ｙ２）を検出する第４の検出部１５と、各検出部１２、１３、１４、１５にて検出された各人数から任意の列車３の次に到着する列車までカウントし駅５内の滞留人数として推定する滞留人数推定部９０とを備える。   Further, the second detector 12 detects the vehicle weight after the arbitrary train 3 leaves the station 5 from the weight sensor 11 and detects the number of passengers after departure (X2) in the arbitrary train 3 from the vehicle weight. The departure time t10 of any train 3 is extracted from the operation information storage unit 80 and detected by the inflow / outflow detection unit 10 after the time (t10−t1) = t11 before the average arrival time t1 of the departure time t10. A third detection unit 14 that detects the number of passengers inflow (Y1) and the arrival time of an arbitrary train 3 are extracted from the operation information storage unit 80, and the time after the average arrival time t1 of this arrival time t12 (t12 + t1) = A fourth detection unit 15 that detects the number of passengers flowing out (Y2) detected by the inflow / outflow detection unit 10 after t13, and any number of persons detected by the detection units 12, 13, 14, and 15 Arrives next to train 3 Count up the train to and a residence number estimating unit 90 for estimating the retention number in the station 5.

次に、上記のように構成された実施の形態２の駅混雑度推定システムの駅内の滞留人数の推定方法について説明する。上記実施の形態１では列車からの降車する人数を加味していなかったが、本実施の形態２においては列車から降車する人数を加味することができるものである。まず、駅改札口２では流入流出する旅客の流入流出状況を時刻とともにカウントし、流入流出検出部１０にて検出している。そして、駅改札口２から流入した旅客は平均到達時間ｔ１を経た後、ホーム４ａ、４ｂに到達する。そして、ホーム４ａ、４ｂに到着した旅客はその後にホームに入ってきた、または到着している列車３に乗車する。よって、駅改札口２に列車３の発車時刻より平均到着時間ｔ１より前に流入した旅客がその列車３に乗車することができる。そして、列車３から降車した旅客はホーム４ａ、４ｂから平均到達時間ｔ１を経た後、改札口２に到達する。よって、列車３の到着時刻の平均到達時間ｔ１後の時刻より旅客は駅改札口２より流出する。   Next, a method for estimating the number of people staying in a station of the station congestion degree estimation system according to Embodiment 2 configured as described above will be described. In the first embodiment, the number of people getting off the train is not taken into account, but in the second embodiment, the number of people getting off the train can be taken into account. First, at the station ticket gate 2, the inflow / outflow situation of passengers flowing in / out is counted with time and detected by the inflow / outflow detection unit 10. And the passenger who flowed in from the station ticket gate 2 reaches the platforms 4a and 4b after an average arrival time t1. Then, the passengers who have arrived at the homes 4a and 4b get on the train 3 that has subsequently entered or has arrived at the home. Therefore, a passenger who flows into the station ticket gate 2 before the average arrival time t1 from the departure time of the train 3 can get on the train 3. And the passenger who got off from the train 3 reaches the ticket gate 2 after passing the average arrival time t1 from the homes 4a and 4b. Therefore, the passenger flows out from the station ticket gate 2 from the time after the average arrival time t1 of the arrival time of the train 3.

以上のような考えに基づいて、任意の列車３の次に到着する列車までの駅５内の滞留人数を推定する場合について説明する。まず、第１の検出部１２にて列車３が駅５に到着する前の列車重量を重量センサ１１から検出し、この車両重量から任意の列車３内の到着前旅客数（Ｘ１）を検出する。一般的な車両には、その車両のブレーキの制御を行うために重量センサ１１を備えており、その重量センサ１１の検出値を車両外に送信することができる機能を付加するだけでよい。そして、その重量センサ１１の車両重量の値から車両の本体の重量を差し引いて、旅客１人の平均体重で割ることにより、列車内の旅客人数を容易に算出することができる。   Based on the above idea, the case where the number of people staying in the station 5 up to the train arriving next to any train 3 is estimated will be described. First, the first detection unit 12 detects the train weight before the train 3 arrives at the station 5 from the weight sensor 11, and detects the number of passengers before arrival (X1) in any train 3 from the vehicle weight. . A general vehicle is provided with a weight sensor 11 for controlling the brake of the vehicle, and it is only necessary to add a function capable of transmitting the detection value of the weight sensor 11 to the outside of the vehicle. Then, the number of passengers in the train can be easily calculated by subtracting the weight of the vehicle body from the vehicle weight value of the weight sensor 11 and dividing the result by the average weight of one passenger.

そして、第２の検出部１３にて任意の列車３が駅５を発車した後の車両重量を重量センサ１１から検出し、この車両重量から任意の列車３内の出発後旅客数（Ｘ２）を検出する。次に、第３の検出部１４にて任意の列車３の発車時刻ｔ１０を運行情報格納部８０から抽出しこの発車時刻ｔ１０の平均到達時間ｔ１前の時刻（ｔ１０−ｔ１）＝ｔ１１より後に流入流出検出部１０にて検出された旅客の流入人数（Ｙ１）を検出する。次に、任意の列車３の到着時刻ｔ１２を運行情報格納部８０から抽出しこの到着時刻ｔ１２の平均到達時間ｔ１後の時刻（ｔ１２＋ｔ１）＝ｔ１３より後に流入流出検出部１０にて検出された旅客の流出人数（Ｙ２）を検出する。   And the vehicle weight after the arbitrary train 3 departs from the station 5 is detected from the weight sensor 11 by the second detector 13, and the number of passengers after departure (X2) in the arbitrary train 3 is determined from this vehicle weight. To detect. Next, the departure time t10 of an arbitrary train 3 is extracted from the operation information storage unit 80 by the third detection unit 14, and flows after the time (t10−t1) = t11 before the average arrival time t1 of the departure time t10. The number of inflow passengers (Y1) detected by the outflow detection unit 10 is detected. Next, the arrival time t12 of any train 3 is extracted from the operation information storage unit 80, and the passenger detected by the inflow / outflow detection unit 10 after the time (t12 + t1) = t13 after the average arrival time t1 of the arrival time t12. The number of outflows (Y2) is detected.

そして、滞留人数推定部９０は各検出部１２、１３、１４、１５にて検出された各人数から任意の列車３の次に到着する列車までカウントし駅５内の滞留人数を、列車内の到着前旅客数（Ｘ１）＋旅客の流入人数（Ｙ１）−列車内の出発後旅客数（Ｘ２）−旅客の流出人数（Ｙ２）の各値に当てはめて算出して推定する。   Then, the staying number estimating unit 90 counts the number of staying persons in the station 5 from the number of persons detected by each of the detection parts 12, 13, 14, and 15 to the train arriving next to the arbitrary train 3 It is estimated by applying to each value of the number of passengers before arrival (X1) + the number of passengers flowing in (Y1) −the number of passengers after departure in the train (X2) −the number of passengers flowing out (Y2).

上記のように構成された実施の形態２の駅混雑度推定システムは、列車の車両重量から人数を検出し、その列車の流出人数を加味することができるため駅内の滞留人数を上記実施の形態１より正確に推定することができる。よって、その推定人数により、駅員はより一層的確な判断を行うことができる。   The station congestion degree estimation system according to the second embodiment configured as described above can detect the number of people from the vehicle weight of the train and take the number of outflows of the train into account. It can be estimated more accurately than Form 1. Therefore, the station staff can make a more accurate judgment based on the estimated number of persons.

実施の形態３．
上記各実施の形態における駅混雑度推定システムでは、旅客の移動方向などを考慮することなく滞留人数を推定する例を示したがこれに限られることはなく。例えば、旅客の乗車券の行き先情報を入手する行き先情報入手部と、旅客の行き先情報より旅客が乗車する所望の列車を特定する特定部とを備え、上記各実施の形態にて示した滞留人数推定部において、旅客は特定部にて特定された列車に乗車し、列車の発車時刻までは駅構内に滞在することとして滞留人数を推定するようにしてもよい。 Embodiment 3 FIG.
In the station congestion degree estimation system in each of the above embodiments, an example is shown in which the number of staying persons is estimated without considering the direction of travel of the passengers, but the present invention is not limited thereto. For example, the number of staying persons shown in each of the above embodiments, including a destination information obtaining unit that obtains destination information of a passenger's ticket, and a specifying unit that identifies a desired train on which the passenger gets on the passenger's destination information. In the estimating unit, the passenger may get on the train specified by the specifying unit, and estimate the number of staying persons as staying in the station until the departure time of the train.

この場合、行き先情報入手部は駅改札口に設置されている自動改札機などを通過する旅客の乗車券により容易にその行き先情報を得ることができる。そしてこのようにして得た情報により、例えばホームが２つあり、行き先がＡ方向とＢ方向とが存在する場合、その行き先情報によりその旅客がいずれの列車に乗車するかを特定することができる。このような情報から、例えば時間帯に応じてＡ方向とＢ方向とに向かう旅客の割合をあらかじめ算出しておく。そして、滞留人数推定部はその推定の際にその列車の行き先（例えばＡ方向の場合）に応じて、その時間帯に流入した旅客の人数の一定の割合（例えばＡ方向に向かうと推定される旅客の割合分を考慮に入れ、他の人数はＢ方向に行く為すべてが駅５内に滞留するとして判断する）を加味して滞留人数の推定を行う。   In this case, the destination information obtaining unit can easily obtain the destination information from the passenger ticket passing through an automatic ticket gate installed at the station ticket gate. For example, when there are two homes and the destinations are the A direction and the B direction, it is possible to specify which train the passenger gets on the destination information based on the information obtained in this way. . From such information, for example, the proportion of passengers heading in the A direction and the B direction according to the time zone is calculated in advance. Then, the staying number estimating unit estimates that a certain percentage of the number of passengers flowing in that time zone (for example, heading in the A direction) according to the destination of the train (for example, in the case of the A direction) at the time of the estimation. Taking into account the proportion of passengers, other people go in the direction B, so that all people stay in the station 5 are taken into account) to estimate the number of people staying.

また他の方法としては、特定部にて検出された旅客の行き先情報を、滞留人数推定部が流入人数にリアルタイムに反映して、その時点における滞留人数に加算するか否かを判断して加味し推定する方法が考えられる。   As another method, the destination information of the passenger detected by the specific unit is reflected on the inflowing number of people in real time and is added to the number of staying at that time. Then, a method of estimating can be considered.

上記のように構成された実施の形態３の駅混雑度推定システムは、旅客の行き先などの情報を滞留人数の推定に加味することができるので、上記各実施の形態より一層正確な滞留人数の推定を行うことができる。よって、その推定人数により、駅員はより一層的確な判断を行うことができる。   The station congestion estimation system according to the third embodiment configured as described above can add information such as the destination of the passenger to the estimation of the number of staying persons. Estimation can be performed. Therefore, the station staff can make a more accurate judgment based on the estimated number of persons.

尚、上記各実施の形態において、平均到着時間は一定の場合について説明したが、これに限られることはなく、平均到達時間格納部は、滞留人数推定部にて推定された旅客滞留人数を抽出し旅客滞留人数に応じて平均到達時間を再決定するように構成すれば、より一層現実的推定人数を得ることができる。すなわち、滞留人数推定部にて滞留人数が多くなれば、駅内が混雑していると考えられ、平均到達時間も混雑していない場合よりかかり、また逆に、駅内がすいていると考えられる場合には平均到達時間も混雑している場合よりかからないからである。また、さらにこの平均到達時間を簡素化して推定する場合には、平均到着時間を０として推定する方法も考えられる。   In each of the above embodiments, the case where the average arrival time is constant has been described. However, the present invention is not limited to this, and the average arrival time storage unit extracts the passenger staying number of people estimated by the staying number estimating unit. If the average arrival time is re-determined according to the passenger staying number, a more realistic estimated number can be obtained. In other words, if the number of people staying in the staying number estimation unit increases, it is considered that the station is congested, the average arrival time is longer than when it is not congested, and conversely, the station is congested. This is because it takes less time to reach the average arrival time. Further, when the average arrival time is further simplified and estimated, a method of estimating the average arrival time as 0 can be considered.

また、上記各実施の形態においては、列車の運行の遅延については特に示していないが、当然のことながら運行状況収納部は、列車運行の遅延情報を格納し、その遅延情報に応じた発車時刻および到着時刻から推定を行うように設定してもよい。   Moreover, in each said embodiment, although it does not show in particular about the delay of a train operation, naturally the operation condition storage part stores the delay information of a train operation, and the departure time according to the delay information Further, it may be set to perform estimation from the arrival time.

実施の形態４．
図３はこの発明の実施の形態４による駅混雑度推定システムを説明するための図である。図において、本発明の駅混雑度推定システム１０１は、多数の旅客が駅改札口２から入場し列車３の発着するホーム４ａ、４ｂから各旅客が所望の列車３に乗車する駅５内における旅客の滞留人数を推定するものであり、上記各実施の形態のいずれかの旅客の滞留人数の推定を行う、滞留人数推定部９１が形成されているものとする。そして、駅混雑度推定システム１０１は、他に以下のものにて構成されている。尚、上記各実施の形態と同様の部分は同一の符号を付し説明を省略する。 Embodiment 4 FIG.
FIG. 3 is a diagram for explaining a station congestion degree estimation system according to Embodiment 4 of the present invention. In the figure, the station congestion degree estimation system 101 of the present invention is a passenger in a station 5 where a large number of passengers enter the desired train 3 from the platforms 4a and 4b where the passengers enter and exit from the ticket gate 2 It is assumed that there is formed a staying number estimating unit 91 for estimating the number of staying passengers in any of the above embodiments. In addition, the station congestion degree estimation system 101 includes the following items. The same parts as those in the above embodiments are given the same reference numerals, and the description thereof is omitted.

旅客の中から特定者１６を検出する検出部１７を備え、この検出部１７は駅改札口２の自動改札機にて検出する旅客の乗車券の情報から検出するか、特定者１６に装着されている検知部１８から検出する。そして滞留人数推定部９１における滞留人数が所定人数以上になると検出部１７にて特定者１６の位置を検出して外部に通知する通知部１９を備える。尚、ここでいう特定者１６とは、駅５内が混雑し駅員が誘導する場合、安全面を考慮して注意を払う必要のある人のことを指し、例えば身障者または老人などである。   A detection unit 17 for detecting a specific person 16 from among passengers is provided, and the detection unit 17 is detected from information on a passenger's ticket detected by an automatic ticket gate at the station ticket gate 2 or attached to the specific person 16. It detects from the detection part 18 which is. And when the staying number of persons in the staying number estimation part 91 becomes more than a predetermined number, the detection part 17 is equipped with the notification part 19 which detects the position of the specific person 16 and notifies outside. Here, the specific person 16 refers to a person who needs to pay attention in consideration of safety when the station 5 is crowded and the station staff guides, for example, a disabled person or an elderly person.

上記のように構成された実施の形態４の駅混雑度推定システムの動作について説明する。まず、駅５内の滞留人数の推定は上記各実施の形態と同様に行う。そして、検出部１７は、駅改札口２の自動改札機にて検出する旅客の乗車券に含まれる個人情報（障害者か、老人であるかなどの情報）を読み取り、さらに行き先などを判断してどのホーム４ａ、４ｂにいるのかを推定するか、特定者１６の車椅子や杖などの補助具に装着されている検知部１８から特定者１６の居場所を検出する。そして、検出された情報を通知部１９より得て、駅員は特定者１６の人数や位置を把握し、駅改札口２およびホーム４ａ、４ｂの間の経路案内や緊急時の避難誘導を効率よく行うことができる。   The operation of the station congestion degree estimation system of the fourth embodiment configured as described above will be described. First, the number of people staying in the station 5 is estimated in the same manner as in the above embodiments. And the detection part 17 reads the personal information (information, such as a handicapped person or an elderly person) contained in the passenger's ticket detected with the automatic ticket gate of the station ticket gate 2, and further judges a destination etc. It is estimated which home 4a, 4b is located, or the location of the specific person 16 is detected from the detection unit 18 attached to an assisting tool such as a wheelchair or a cane of the specific person 16. Then, the detected information is obtained from the notification unit 19, and the station staff grasps the number and position of the specific person 16, and efficiently performs route guidance between the ticket gate 2 and the platforms 4a and 4b and emergency evacuation guidance. It can be carried out.

上記のように構成された実施の形態４の駅混雑度推定システムによれば、駅内の滞留人数が所定人数以上になり、駅内における旅客の誘導などの指示を行う場合、特定者の位置などを簡便に把握することができるため、安全に誘導を行うことができる。   According to the station congestion degree estimation system of the fourth embodiment configured as described above, when the number of people staying in the station exceeds a predetermined number, and when giving instructions such as passenger guidance in the station, the position of the specific person Etc. can be easily grasped, so that guidance can be performed safely.

この発明の実施の形態１の駅混雑度推定システムの構成を示す図である。It is a figure which shows the structure of the station congestion degree estimation system of Embodiment 1 of this invention. この発明の実施の形態２の駅混雑度推定システムの構成を示す図である。It is a figure which shows the structure of the station congestion degree estimation system of Embodiment 2 of this invention. この発明の実施の形態４の駅混雑度推定システムの構成を示す図である。It is a figure which shows the structure of the station congestion degree estimation system of Embodiment 4 of this invention.

符号の説明Explanation of symbols

１，１００，１０１ 駅混雑度推定システム、２ 駅改札口、３ 電車、
４ａ，４ｂ ホーム、５ 駅、６ 流入検出部、７ 平均到達時間格納部、
８，８０ 運行情報格納部、９，９０，９１ 滞留人数推定部、１０ 流入流出検出部、１１ 車両重量検出部、１２ 第１の検出部、１３ 第２の検出部、
１４ 第３の検出部、１５ 第４の検出部、１６ 特定者、１７ 検出部、
１８ 検知部、１９ 通知部。 1,100,101 Station congestion estimation system, 2 station ticket gates, 3 trains,
4a, 4b Home, 5 stations, 6 Inflow detection unit, 7 Average arrival time storage unit,
8, 80 operation information storage unit, 9, 90, 91 staying person estimation unit, 10 inflow / outflow detection unit, 11 vehicle weight detection unit, 12 first detection unit, 13 second detection unit,
14 3rd detection part, 15 4th detection part, 16 specific person, 17 detection part,
18 detection unit, 19 notification unit.

Claims (8)

旅客が駅改札口から入場し列車の発着するホームから所望の列車に乗車する上記駅内における上記旅客の滞留人数を推定する駅混雑度推定システムにおいて、
上記駅改札口における上記旅客の流入を検知する流入検出部と、上記旅客が上記駅改札口から上記ホームに到達する平均到達時間を格納する平均到達時間格納部と、上記各列車の上記駅の発車時刻の情報を格納する運行情報格納部と、上記駅内の滞留人数を推定する任意の時刻に上記平均到達時間を加算した時刻より前の時刻で一番近い列車の発車時刻を上記運行情報格納部から抽出し、上記発車時刻の上記平均到達時間前の時刻から上記任意の時刻までに上記流入検出部にて検出された旅客の流入人数を上記任意の時刻の上記駅内の滞留人数として推定する滞留人数推定部とを備えたことを特徴とする駅混雑度推定システム。 In the station congestion estimation system for estimating the number of passengers in the station where passengers enter the desired train from the platform where the passenger enters and arrives at the station ticket gate,
An inflow detection unit for detecting the inflow of the passenger at the station ticket gate, an average arrival time storage unit for storing the average arrival time for the passenger to reach the platform from the station ticket gate, and the station of each train The operation information storage unit for storing the information of the departure time, and the departure information of the nearest train before the time obtained by adding the average arrival time to an arbitrary time for estimating the number of people staying in the station. The number of passenger inflows extracted from the storage unit and detected by the inflow detection unit from the time before the average arrival time of the departure time to the arbitrary time as the number of people staying in the station at the arbitrary time A station congestion degree estimation system comprising: a staying person estimation unit for estimation. 旅客が駅改札口から入場し列車の発着するホームから所望の列車に乗車する上記駅内における上記旅客の滞留人数を推定する駅混雑度推定システムにおいて、
上記駅改札口における上記旅客の流入を検知する流入検出部と、上記旅客が上記駅改札口から上記ホームに到達する平均到達時間を格納する平均到達時間格納部と、上記各列車の上記駅の発車時刻の情報を格納する運行情報格納部と、任意の列車の発車時刻と上記任意の列車の発車時刻の次に発車する次任意の列車の発車時刻を上記運行情報格納部から抽出し、上記任意の列車の発車時刻の上記平均到達時間前の時刻から上記次任意の列車の発車時刻の上記平均到達時間前の時刻まで上記流入検出部にて検出された旅客の流入人数を上記任意の列車から上記次任意の列車までの上記駅内の滞留人数として推定する滞留人数推定部とを備えたことを特徴とする駅混雑度推定システム。 In the station congestion estimation system for estimating the number of passengers in the station where passengers enter the desired train from the platform where the passenger enters and arrives at the station ticket gate,
An inflow detection unit for detecting the inflow of the passenger at the station ticket gate, an average arrival time storage unit for storing the average arrival time for the passenger to reach the platform from the station ticket gate, and the station of each train The operation information storage unit for storing the information of the departure time, the departure time of the arbitrary train and the departure time of the next arbitrary train that departs after the departure time of the arbitrary train are extracted from the operation information storage unit, and The number of passengers inflow detected by the inflow detection unit from the time before the average arrival time of the departure time of any train to the time before the average arrival time of the next arbitrary train departure time A station congestion degree estimation system comprising: a staying number estimating unit that estimates the number of staying persons in the station from the next to the next arbitrary train. 旅客が駅改札口から入場し列車の発着するホームから所望の列車に乗車する上記駅内における上記旅客の滞留人数を推定する駅混雑度推定システムにおいて、
上記駅改札口における上記旅客の流入を検知する流入検出部と、上記駅改札口における上記旅客の流出を検知する流出検出部と、上記旅客が上記駅改札口から上記ホームに到達する平均到達時間を格納する平均到達時間格納部と、上記各列車の上記駅の発車時刻および到着時刻の情報を格納する運行情報格納部と、任意の列車が上記駅に到着する前の車両重量を検出しこの車両重量から上記任意の列車内の到着前旅客数（Ｘ１）を検出する第１の検出部と、上記任意の列車が上記駅を発車した後の車両重量を検出しこの車両重量から上記任意の列車内の出発後旅客数（Ｘ２）を検出する第２の検出部と、上記任意の列車の発車時刻を上記運行情報格納部から抽出し当該発車時刻の上記平均到達時間前の時刻より後に上記流入検出部にて検出された旅客の流入人数（Ｙ１）を検出する第３の検出部と、上記任意の列車の到着時刻を上記運行情報格納部から抽出し当該到着時刻の上記平均到達時間後の時刻より後に上記流出検出部にて検出された旅客の流出人数（Ｙ２）を検出する第４の検出部と、上記各検出部にて検出された列車内の到着前旅客数（Ｘ１）＋旅客の流入人数（Ｙ１）−列車内の出発後旅客数（Ｘ２）−旅客の流出人数（Ｙ２）を上記任意の列車の次に到着する列車までカウントし上記駅内の滞留人数として推定する滞留人数推定部とを備えたことを特徴とする駅混雑度推定システム。 In the station congestion estimation system for estimating the number of passengers in the station where passengers enter the desired train from the platform where the passenger enters and arrives at the station ticket gate,
An inflow detection unit for detecting the inflow of the passenger at the station ticket gate, an outflow detection unit for detecting the outflow of the passenger at the station ticket gate, and an average arrival time for the passenger to reach the platform from the station ticket gate The average arrival time storage unit for storing the train, the operation information storage unit for storing the departure time and arrival time information of the station of each train, and the vehicle weight before any train arrives at the station A first detection unit that detects the number of passengers before arrival (X1) in the arbitrary train from the vehicle weight, and a vehicle weight after the arbitrary train departs from the station. A second detection unit for detecting the number of passengers after departure in the train (X2), and the departure time of the arbitrary train is extracted from the operation information storage unit and the time after the time before the average arrival time of the departure time Detected by inflow detector A third detection unit for detecting the number of passengers flowing in (Y1), and detecting the outflow after the arrival time of the arbitrary train is extracted from the operation information storage unit and after the average arrival time of the arrival time. A fourth detection unit for detecting the number of passengers outflow (Y2) detected by the unit, and the number of passengers before arrival (X1) in the train detected by each of the detection units + the number of passengers inflow (Y1) -The number of passengers after departure in the train (X2)-The number of passengers outflowing (Y2) is counted up to the train arriving next to the above arbitrary train, and a staying number estimating unit for estimating the number of staying passengers in the station Station congestion degree estimation system characterized by this. 上記旅客の乗車券の行き先情報を入手する行き先情報入手部と、上記旅客の行き先情報より上記旅客が乗車する所望の列車を特定する特定部と、上記滞留人数推定部は上記旅客は特定部にて特定された列車に乗車し、上記列車の発車時刻までは駅構内に滞在することとして滞留人数を推定することを特徴とする請求項１ないし請求項３のいずれかに記載の駅混雑度推定システム。 A destination information obtaining unit for obtaining destination information of the passenger's ticket, a specifying unit for specifying a desired train on which the passenger gets from the destination information of the passenger, and the staying number estimating unit for the passenger to the specifying unit The station congestion degree estimation according to any one of claims 1 to 3, wherein the number of people staying in the station is estimated by staying in the station until the departure time of the train. system. 上記旅客の中から特定者を検出する検出部を備え、上記滞留人数推定部における滞留人数が所定人数以上になると上記検出部にて上記特定者の位置を検出して外部に通知する通知部を備えたことを特徴とする請求項１ないし請求項４のいずれかに記載の駅混雑度推定システム。 A detection unit for detecting a specific person from the passengers, and a notification unit for detecting the position of the specific person and notifying the outside by the detection unit when the number of staying persons in the staying number estimating unit exceeds a predetermined number The station congestion degree estimation system according to any one of claims 1 to 4, wherein the station congestion degree estimation system is provided. 上記検出部は、上記旅客の乗車券の情報から検出するか、上記特定者に装着されている検知部から検出するかにて成ることを特徴とする請求項５に記載の駅混雑度推定システム。 6. The station congestion degree estimation system according to claim 5, wherein the detection unit is detected from information on the passenger's ticket or from a detection unit attached to the specific person. . 上記平均到達時間格納部は、上記滞留人数推定部にて推定された上記旅客滞留人数を抽出し上記旅客滞留人数に応じて平均到達時間を再決定することを特徴とする請求項１ないし請求項６のいずれかに記載の駅混雑度推定システム。 The average arrival time storage unit extracts the passenger staying number estimated by the staying number estimating unit, and re-determines the average arrival time according to the passenger staying number. The station congestion degree estimation system according to any one of 6. 上記運行状況収納部は、列車運行の遅延情報を格納することを特徴とする請求項１ないし請求項７のいずれかに記載の駅混雑度推定システム。 The station congestion degree estimation system according to any one of claims 1 to 7, wherein the operation status storage unit stores delay information of train operation.
JP2004022507A 2004-01-30 2004-01-30 Station congestion estimation system Expired - Fee Related JP4399283B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2004022507A JP4399283B2 (en) 2004-01-30 2004-01-30 Station congestion estimation system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2004022507A JP4399283B2 (en) 2004-01-30 2004-01-30 Station congestion estimation system

Publications (2)

Publication Number Publication Date
JP2005212641A JP2005212641A (en) 2005-08-11
JP4399283B2 true JP4399283B2 (en) 2010-01-13

Family

ID=34905829

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2004022507A Expired - Fee Related JP4399283B2 (en) 2004-01-30 2004-01-30 Station congestion estimation system

Country Status (1)

Country Link
JP (1) JP4399283B2 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108068846A (en) * 2017-11-24 2018-05-25 维沃移动通信有限公司 A kind of subway is ridden dispatching method and mobile terminal
CN108710321A (en) * 2018-05-16 2018-10-26 上海应用技术大学 Rail transit cars congestion state monitors system

Families Citing this family (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4900316B2 (en) * 2008-05-12 2012-03-21 日本電気株式会社 Route search device
JP5023139B2 (en) * 2009-12-08 2012-09-12 株式会社日立製作所 Train control system and railway control system
JP5929231B2 (en) * 2012-01-24 2016-06-01 富士通株式会社 Calculation device, program, and calculation method
JP5872381B2 (en) * 2012-05-23 2016-03-01 株式会社日立製作所 Alternate route information display device
JP2014046780A (en) * 2012-08-31 2014-03-17 Hitachi Ltd Ticket gate guidance system
JP6116512B2 (en) 2014-03-25 2017-04-19 株式会社日立製作所 Automatic train operation system, train operation support system and train operation management system
JP6675860B2 (en) * 2015-11-04 2020-04-08 株式会社日立製作所 Data processing method and data processing system
JP6138977B2 (en) * 2016-01-13 2017-05-31 株式会社日立製作所 Congestion degree identification method and apparatus
EP3425606B1 (en) * 2016-03-02 2021-08-18 Hitachi, Ltd. Traffic situation estimation system and traffic situation estimation method
SG11201805249RA (en) * 2016-03-03 2018-09-27 Mitsubishi Electric Corp Congestion prediction device and congestion prediction method
EP3437955B1 (en) * 2016-03-30 2021-04-28 Hitachi, Ltd. Train disembarking passenger number prediction system, congestion visualization and evaluation system, and riding capacity calculation system
CN109466592A (en) * 2018-10-25 2019-03-15 辽宁奇辉电子系统工程有限公司 A kind of vertical hilllock standardized work detection system of platform
JP7273531B2 (en) * 2019-02-18 2023-05-15 株式会社東芝 Train control system and method
CN110765186B (en) * 2019-05-29 2023-06-23 北京万相融通科技股份有限公司 Method for detecting station public channel passenger flow conflict
US20220343712A1 (en) * 2019-08-22 2022-10-27 Nippon Telegraph And Telephone Corporation Number of people estimation device, number of people estimation method, and number of people estimation program
CN113742879B (en) * 2020-05-14 2024-05-03 南京行者易智能交通科技有限公司 Design method, optimization method and device of scheduling model based on passenger flow simulation
CN111885639A (en) * 2020-07-24 2020-11-03 上海应用技术大学 Subway people flow detection method and system
CN112078633B (en) * 2020-08-28 2022-08-16 通号城市轨道交通技术有限公司 Rail transit train dispatching method and system
CN112465213B (en) * 2020-11-24 2022-07-26 卡斯柯信号有限公司 Auxiliary device and method of subway passenger information service system
JP7555813B2 (en) 2020-12-22 2024-09-25 株式会社日立製作所 Data processing method and data processing system
CN112918523B (en) * 2021-02-25 2023-05-02 北京电子科技职业学院 Passenger flow collaborative accurate control method for crowded subway line based on train schedule optimization

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108068846A (en) * 2017-11-24 2018-05-25 维沃移动通信有限公司 A kind of subway is ridden dispatching method and mobile terminal
CN108710321A (en) * 2018-05-16 2018-10-26 上海应用技术大学 Rail transit cars congestion state monitors system

Also Published As

Publication number Publication date
JP2005212641A (en) 2005-08-11

Similar Documents

Publication Publication Date Title
JP4399283B2 (en) Station congestion estimation system
CN105366458B (en) The call registration system of elevator
US7461723B2 (en) Fire control system of elevator
JP4606475B2 (en) Elevator door control system and method
KR101718806B1 (en) Automatic calculation server for platform stop time of train, system and method thereof
US20160102490A1 (en) Method and system for increasing the safety in the boarding area and for optimizing usage of the capacity in transport means which comprise at least one locally fixed boarding area
JPWO2017168585A1 (en) Train operation control system and train operation control method
KR101181555B1 (en) System for guiding boarding information of elevator
JP2016222437A (en) Traffic means guide system
JP4311632B2 (en) Elevator control device
WO2011132261A1 (en) Elevator call registration device
KR20180137549A (en) Elevator system and car call estimation method
KR20140138510A (en) Bus information system
JP6532423B2 (en) Announcement device in elevator car
JP2016147620A (en) Traffic facility use management device, transportation system and traffic facility use management method
JP4910432B2 (en) Vehicle congestion situation prediction system and method, program
CN114018278B (en) System and method for realizing cross-floor guidance according to time collaborative multi-navigation robot
JP7020575B1 (en) Control system and mobile
TWI451362B (en) Fast evacuation system and method thereof
WO2018220782A1 (en) Elevator device
JP2009199109A (en) New transportation system and its passenger management method
JP6068691B1 (en) Elevator operation management system and operation management method
KR101752870B1 (en) Method and apparatus for providing public transport information
JP2014205573A5 (en)
JP2020064570A (en) Operation management apparatus, operation management system, and operation management method

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20061102

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20091020

A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20091026

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20121030

Year of fee payment: 3

R150 Certificate of patent or registration of utility model

Free format text: JAPANESE INTERMEDIATE CODE: R150

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20131030

Year of fee payment: 4

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

LAPS Cancellation because of no payment of annual fees