JPH10217968A - Train congestion degree indication method and its indication system - Google Patents
Train congestion degree indication method and its indication systemInfo
- Publication number
- JPH10217968A JPH10217968A JP2652797A JP2652797A JPH10217968A JP H10217968 A JPH10217968 A JP H10217968A JP 2652797 A JP2652797 A JP 2652797A JP 2652797 A JP2652797 A JP 2652797A JP H10217968 A JPH10217968 A JP H10217968A
- Authority
- JP
- Japan
- Prior art keywords
- passengers
- station
- train
- vehicle
- passenger
- 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.)
- Pending
Links
Landscapes
- Train Traffic Observation, Control, And Security (AREA)
Abstract
Description
【0001】[0001]
【発明の属する技術分野】本発明は、鉄道機関におい
て、各駅のホームで列車を待つ乗客に対して次に到着す
る列車の混雑状況を表示装置に表示する列車混雑度表示
方法及びこの方法を採用した列車混雑度表示システムに
関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention employs a train congestion degree display method and a train congestion degree display method for displaying, on a display device, the congestion status of a train arriving next for a passenger waiting for a train at a platform of a railway station. Train congestion degree display system.
【0002】[0002]
【従来の技術】都市近郊の通勤列車等においては、例え
ば、列車がホームに停車した場合におけるホームの出口
近傍や入口近傍に停車する車両には多くの乗客が乗車し
て乗車率が高くなり、ホームの中間に位置する車両は少
ない乗客しか乗車しない。2. Description of the Related Art In a commuter train near a city, for example, when a train stops at a platform, many passengers ride on the vehicle that stops near the exit or entrance of the platform, and the occupancy rate increases. Vehicles located in the middle of the platform carry few passengers.
【0003】その結果、列車の一部の車両の混雑度のみ
が高くなり、鉄道会社にとって、乗客の輸送効率が低下
するのみならず、乗客にとっても不快な通勤を強いられ
ることになる。[0003] As a result, the congestion of only a part of the trains of the train increases, and not only the transportation efficiency of the passengers decreases for the railway company, but also the passengers are forced to commute uncomfortable.
【0004】このような不都合を解消するために、次に
到着する列車における各車両の混雑度(乗車率)を測定
して例えばホームや改札口の上方位置に取付けられた電
光表示器に各車両毎の混雑度(乗車率)を表示して、乗
客に混んだ車両を避けて空いた車両に乗車するように注
意を促す案が提唱されている(特開平2−133278
号公報)。In order to solve such inconveniences, the congestion degree (occupancy rate) of each vehicle in the next arriving train is measured, and for example, each vehicle is displayed on an electric light indicator mounted above a platform or a ticket gate. A proposal has been proposed in which the degree of congestion (ride rate) is displayed for each vehicle to alert the driver to avoid a vehicle crowded by passengers and to ride on an empty vehicle (Japanese Patent Laid-Open No. 2-133278).
No.).
【0005】すなわち、図8(a)に示すように、複数
の車両2からなる列車1が駅のホームに停車する場合、
ホームにおける各車両2の停止位置は予め定められてい
るので、レール3における各車両2の停止位置に荷重検
出器4を取付け、この各荷検出器4で得られた車両の重
量を測定する。そして、演算制御器5で各車両2の乗車
客数を算出して、さらに、この乗車客数を車両の定員で
除算して各車両毎の乗車率(混雑度)を算出する。そし
て、算出された各車両毎の乗車率(混雑度)を次駅へ送
信する。That is, as shown in FIG. 8A, when a train 1 including a plurality of vehicles 2 stops at a platform of a station,
Since the stop position of each vehicle 2 at the platform is predetermined, a load detector 4 is attached to the stop position of each vehicle 2 on the rail 3, and the weight of the vehicle obtained by each load detector 4 is measured. Then, the arithmetic controller 5 calculates the number of passengers of each vehicle 2, and further divides the number of passengers by the capacity of the vehicle to calculate the occupancy rate (degree of congestion) for each vehicle. Then, the calculated riding rate (congestion degree) of each vehicle is transmitted to the next station.
【0006】次駅では、一つ前の駅から受信した次にホ
ームに到着する列車の各車両の乗車率(混雑度)を図8
(b)に示すように、ホームや改札口の上方位置の電光
表示器7に表示する。At the next station, the occupancy rate (degree of congestion) of each vehicle of the next train arriving at the platform received from the previous station is shown in FIG.
As shown in (b), the information is displayed on the electronic display 7 at a position above the platform or the ticket gate.
【0007】したがって、ホームの乗客又は改札口から
ホームに入る乗客は次にホームに到着する列車において
どの車両が混んでいるかを即座に判断でき、空いた車両
が停車する位置へ移動することが可能である。Therefore, a passenger at the platform or a passenger entering the platform from the ticket gate can immediately determine which vehicle is crowded in the next train arriving at the platform, and can move to a position where the vacant vehicle stops. It is.
【0008】[0008]
【発明が解決しようとする課題】しかしながら図8に示
す列車の各車両の混雑度の表示手法においても、まだ改
良すべき次のような課題があった。すなわち、乗換え駅
や大きな駅においては、列車の降車客が多くて、この駅
を通過する列車においては、この駅を発車する時点で各
車両の乗客が大幅に減少して、ホームで該当列車に乗車
する客に対して、乗車車両の変更を促す図8(b)に示
す各車両毎の乗車率(混雑度)を表示することが無意味
になる場合もある。一方、客にとっては、特にホームを
移動する必要がないのに、移動を結果的に強制されるこ
とになり、乗客に対するサービスが逆効果となる懸念が
ある。However, the method for displaying the degree of congestion of each vehicle in the train shown in FIG. 8 has the following problems to be improved. In other words, there are many passengers getting off trains at transfer stations and large stations, and on trains passing through this station, the number of passengers of each vehicle decreases significantly at the time of departure from this station, and In some cases, it may be meaningless to display the boarding rate (congestion degree) of each vehicle shown in FIG. 8B that prompts the boarding passenger to change the boarding vehicle. On the other hand, there is a concern that the passengers are forced to move as a result without having to move from home, and that the service to the passengers is adversely affected.
【0009】その結果、一つの列車における各車両相互
間の乗車率の偏在がさらに拡大して、乗客の降り乗りに
要する時間が増加し、鉄道運送業務全体の輸送効率が低
下する懸念がある。As a result, there is a concern that the uneven distribution of the occupancy rate among the vehicles in one train is further increased, the time required for passengers to get on and off is increased, and the transportation efficiency of the entire railway transportation business is reduced.
【0010】また、例えば乗換え駅における他の線路に
対する乗換え通路がホームのある特定位置に存在する場
合は、この乗換え通路近傍に停止する車両の乗車率(混
雑度)が極端に高いが、該当駅でこの車両のほとんどの
乗客が降車して、この駅を発車する時点においては、該
当車両の乗車率(混雑度)が極端に低下する場合もあ
る。Also, for example, when a transfer passage for another line at a transfer station is present at a specific position of the platform, the rate of congestion of vehicles stopped near the transfer passage is extremely high. At the time when most passengers of this vehicle get off and depart from this station, the occupancy rate (congestion degree) of the vehicle may extremely decrease.
【0011】このような場合においては、ホームの乗客
はこの空いた車両に乗車することが好ましい。しかし、
表示案内には該当車両の乗車率(混雑度)が極端に高い
と表示される。したかって、結果的にホームの乗客を誤
った位置へ導く懸念がある。[0011] In such a case, it is preferable that the passenger in the platform board the vacant vehicle. But,
The display guide indicates that the riding rate (congestion degree) of the vehicle is extremely high. Therefore, there is a concern that the passengers in the platform may be consequently misplaced.
【0012】本発明はこのような事情に鑑みてなされた
ものであり、各車両の乗客重量を連続測定することによ
って、次駅における各車両から乗客が降りた後の残留乗
客数を予測でき、この残留乗客数を混雑状況として表示
でき、駅のホームにいる列車待ちの客に対してより有用
な情報を提供でき、かつ1列車内における各車両相互間
の乗車率を均一化でき、全体としての輸送効率を向上で
きる列車混雑度表示方法及び列車混雑度表示システムを
提供することを目的とする。The present invention has been made in view of such circumstances, and by continuously measuring the passenger weight of each vehicle, the number of remaining passengers after the passenger gets off each vehicle at the next station can be predicted. The number of remaining passengers can be displayed as congestion, more useful information can be provided to train waiting passengers at the platform of the station, and the occupancy rate among vehicles within one train can be made uniform, and as a whole, It is an object of the present invention to provide a train congestion degree display method and a train congestion degree display system that can improve the transportation efficiency of trains.
【0013】[0013]
【課題を解決するための手段】上記課題を解消するため
に本発明の列車混雑度表示方法においては、列車が各駅
に到着してから該当駅を出発するまでの計測期間におけ
る各車両毎の乗客重量を連続測定し、この連続測定され
た各車両の計測期間における最小重量に対応する降車後
乗客数と計測期終了時の重量に対応する乗車後乗客数と
を求め、この求められた現在駅の乗車後乗客数から、過
去の実績降車客数にて得られる次駅の予測降車客数を減
算して、次駅における各車両の残留乗客数を算出し、こ
の算出された各車両の残留乗客数を各車両の混雑状況と
して次駅の表示装置に表示出力するようにしている。According to the present invention, there is provided a train congestion degree display method according to the present invention, in which the number of passengers of each vehicle during a measurement period from when a train arrives at each station to when the train departs from the station is determined. The weight is measured continuously, and the number of passengers after dismounting corresponding to the minimum weight of each continuously measured vehicle during the measuring period and the number of passengers after dismounting corresponding to the weight at the end of the measuring period are obtained. From the number of passengers after boarding, subtract the predicted number of passengers at the next station obtained from the past number of passengers getting off, calculate the number of remaining passengers of each vehicle at the next station, and calculate the number of remaining passengers of each vehicle at the calculated station Is displayed on the display device of the next station as the congestion status of each vehicle.
【0014】また、本発明の列車混雑度表示システムに
おいては、列車が各駅に到着してから該当駅を出発する
までの計測期間における各車両毎の乗客重量を連続測定
する乗客重量測定装置と、乗客重量測定装置にて連続測
定された各車両の計測期間における最小重量に対応する
降車後乗客数と計測期終了時の重量に対応する乗車後乗
客数とを求める乗客数抽出手段と、列車が任意駅の一つ
前の駅に到着した時に乗客数抽出手段で得られる前駅の
乗車後乗客数から任意駅に到着した時に乗客数抽出手段
で得られる任意駅の降車後乗客人数を減算して任意駅に
おける各車両の実績降車客数を算出する実績降車客数算
出手段と、各駅毎に算出される各車両の実績降車客数を
記憶する実績降車客数メモリと、乗客数抽出手段で求め
られた現在駅の乗車後乗客数から、実績降車客数メモリ
に記憶された次駅の実績降車客数から得られる次駅の予
測降車客数を減算して、次駅における各車両の残留乗客
数を算出する残留乗客数算出手段と、この算出された各
車両の残留乗客数を各車両の混雑状況として次駅の表示
装置に表示出力する表示制御手段とを備えている。Further, in the train congestion degree display system of the present invention, a passenger weight measuring device for continuously measuring the passenger weight of each vehicle during a measurement period from when the train arrives at each station to when the train leaves the station, Passenger number extraction means for obtaining the number of passengers after dismounting corresponding to the minimum weight in the measuring period of each vehicle continuously measured by the passenger weight measuring device and the number of passengers after getting off corresponding to the weight at the end of the measuring period, and Subtract the number of passengers after getting off at any station obtained by the passenger number extraction means when arriving at the arbitrary station from the number of passengers after getting on the previous station obtained by the passenger number extraction means when arriving at the station just before the arbitrary station. Means for calculating the actual number of disembarking passengers of each vehicle at an arbitrary station, an actual disembarking number of passengers memory for storing the actual number of disembarking passengers of each vehicle calculated for each station, and the current Station ride Remaining passenger number calculating means for calculating the number of remaining passengers of each vehicle at the next station by subtracting the predicted number of getting off passengers of the next station obtained from the actual number of getting off passengers of the next station stored in the actual number of passengers getting off memory from the number of rear passengers. And display control means for displaying the calculated number of remaining passengers of each vehicle as a congestion state of each vehicle on a display device of the next station.
【0015】このように構成された列車混雑度表示方法
及びその表示システムの各駅における到着列車の混雑度
の算出原理を説明する。列車が一つの駅に到着して車両
の扉が開くと当駅で下車する乗客が車両から降りるの
で、該当車両の乗客重量は一旦低下する。そして、当駅
で下車する乗客が全て降車すると、次に当駅から乗車す
る客が該当車両に乗車するので、乗客重量は上昇する。
そして、扉が閉じて列車が当駅を発車する時点において
は、乗客重量は一定になる。The principle of calculating the degree of congestion of arriving trains at each station of the train congestion degree display method and the display system configured as described above will be described. When the train arrives at one station and the door of the vehicle opens, the passenger getting off at this station gets off the vehicle, and the passenger weight of the vehicle temporarily decreases. Then, when all the passengers who get off at the station get off, the passengers who get on from the station next get on the vehicle, and the passenger weight increases.
Then, when the door closes and the train leaves the station, the passenger weight becomes constant.
【0016】列車が駅に到着してから該当駅を出発する
までの計測期間における最小重量から降車後乗客数を求
め、計測期終了時の重量から乗車後乗客数を求めること
ができる。よって、一つ前の駅の乗車後乗客数から当駅
の降車後乗客数を減算することによって、当駅の各車両
の降車乗客数を算出できる。このように、各駅における
各車両の降車乗客数を過去の実績データとして蓄積する
ことが可能である。The number of passengers after getting off the train can be obtained from the minimum weight during the measurement period from the arrival of the train at the station to the departure from the station, and the number of passengers after boarding can be obtained from the weight at the end of the measurement period. Therefore, by subtracting the number of passengers after getting off at this station from the number of passengers after getting on at the previous station, the number of getting off passengers of each vehicle at this station can be calculated. In this way, the number of getting off passengers of each vehicle at each station can be accumulated as past performance data.
【0017】そして、現在駅で得られた各車両における
乗車後乗客数から次駅の予測降車客数を減算して、次駅
における各車両の残留乗客数が予測できる。この残留乗
客数が次駅において、乗客が各車両から降りた時点にお
ける実際の混雑度となる。Then, the number of remaining passengers of each vehicle at the next station can be predicted by subtracting the predicted number of passengers getting off at the next station from the number of passengers after getting on each vehicle obtained at the current station. The number of remaining passengers is the actual congestion degree at the time when the passenger gets off each vehicle at the next station.
【0018】したがって、たとえ現在駅で特定車両の乗
車率(混雑度)が高かったとしても、次の駅で該当車両
からの降車乗客数が多いと過去の実績に基づいて予想さ
れる場合は、次駅において該当車両の混雑度は低いと表
示される。逆に、予測降車乗客数が少ない場合は、表示
される混雑度は高いまま維持される。このように、ホー
ムで列車を待つ乗客にとって、自己がこれから乗車しよ
うとする車両の正しい乗車率(混雑度)を確認できる。Therefore, even if the occupancy rate (congestion degree) of a specific vehicle is high at the current station, if the number of passengers getting off from the vehicle at the next station is expected to be large based on past results, At the next station, the degree of congestion of the vehicle is displayed as low. Conversely, when the predicted number of getting off passengers is small, the displayed congestion degree is kept high. In this way, the passenger waiting for the train at the platform can check the correct occupancy rate (congestion degree) of the vehicle that he or she is going to get on.
【0019】[0019]
【発明の実施の形態】以下本発明の一実施形態を図面を
用いて説明する。図1は実施形態の列車混雑度表示方法
が採用された列車混雑度表示システムの概略構成を示す
模式図である。DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described below with reference to the drawings. FIG. 1 is a schematic diagram showing a schematic configuration of a train congestion degree display system adopting the train congestion degree display method of the embodiment.
【0020】鉄道線路のレール10上を走行する列車1
1は例えば10両を越える複数の車両12で編成されて
いる。なお、各車両12には先頭から順番に車両番号i
(i=1,2,3,4,…)が付されている。そして、
各車両12の床下には、該当車両12の重量を計測する
重量計13が設置されている。乗客が全く乗っていない
状態の車両重量は予め測定されており、重量計13は測
定重量から車両重量を減算した乗客のみの乗客重量Wi
(i=1,2,3,4.…)を出力する。各車両12の各重量計1
3から出力される各車両12の乗客重量Wi (i=1,2,3,
4.…)は先頭の車両12の送信データ作成部14へ伝送
される。A train 1 running on a rail 10 of a railway track
1 is composed of, for example, a plurality of vehicles 12 exceeding 10 cars. Each vehicle 12 has a vehicle number i in order from the top.
(I = 1, 2, 3, 4,...). And
Below the floor of each vehicle 12, a weigh scale 13 for measuring the weight of the vehicle 12 is installed. Vehicle weight in a state where a passenger is not at all ride is measured in advance, passenger weight of only passenger weighing scale 13 by subtracting the vehicle weight from the measured weight W i
(I = 1,2,3,4 ...) is output. Each weighing scale 1 of each vehicle 12
Passengers of each vehicle 12 output from 3 weight W i (i = 1,2,3,
4.) are transmitted to the transmission data generator 14 of the leading vehicle 12.
【0021】受信データ作成部14は各重量計13から
乗客重量Wi を受領すると、各乗客重量Wi に対して所
定のデータ処理を行って、データ処理結果をデータ送信
装置18へ送出する。データ送信装置18は受信データ
作成部14から受領したデータ処理結果をアンテナ19
から電波出力する。When receiving the passenger weight W i from each weighing scale 13, the reception data creating section 14 performs predetermined data processing on each passenger weight W i and sends the data processing result to the data transmitting device 18. The data transmitting device 18 transmits the data processing result received from the received data
To output radio waves.
【0022】各列車11から電波出力されたデータ処理
結果は鉄道線路に沿って敷設されたアンテナ20を介し
て例えば鉄道会社の本社に設置された管理センタ21の
データ受信装置22で受信される。データ受信装置22
は各列車11から受信したデータ処理結果をデータ処理
装置23へ送出する。データ処理装置23はデータ処理
結果をデータベース24及びバッファメモリ25の記憶
内容を用いてデータ処理を実施する。The data processing result output from each train 11 by radio waves is received by a data receiving device 22 of a management center 21 installed at, for example, the headquarters of a railway company via an antenna 20 laid along the railway line. Data receiving device 22
Sends the data processing result received from each train 11 to the data processing device 23. The data processing device 23 performs data processing on the data processing result using the contents stored in the database 24 and the buffer memory 25.
【0023】一方、鉄道線路に沿って始発駅から終着駅
までの複数の駅15が配設されている。各駅15には、
列車11の走行方向に沿って始発駅から終着駅魔で順番
に駅番号j(j=1,2,3,4,…)が付されてい
る。そして、図2に示すように、各駅15のホーム16
の各ホーム入口の上方位置には電光表示板で構成された
表示器17が取付けられている。On the other hand, a plurality of stations 15 from the first station to the last station are provided along the railway line. At each station 15,
Station numbers j (j = 1, 2, 3, 4,...) Are assigned in order from the first station to the last station along the traveling direction of the train 11. Then, as shown in FIG.
At the upper position of each of the home entrances, a display 17 constituted by an electric display panel is attached.
【0024】各表示器17には、図3で示すように、列
車の各進行方向に対応する2種類の列車パターン26,
27が表示される。各列車パターン26,27は先頭車
両から末尾車両までの複数の車両パターン26a,27
bで構成されている。そして、各車両パターン26a,
26bはそれぞれ次にこのホーム16に到着する列車1
1の各車両12の混雑度に応じた色で表示される。例え
ば[緑色]は混雑でない通常状態を示し、[黄色]は混
雑を示し、[赤色]は大混雑を示す。As shown in FIG. 3, each indicator 17 has two types of train patterns 26, which correspond to each traveling direction of the train.
27 is displayed. Each of the train patterns 26 and 27 includes a plurality of vehicle patterns 26a and 27 from the leading vehicle to the trailing vehicle.
b. And each vehicle pattern 26a,
26b is the next train 1 arriving at this platform 16
1 is displayed in a color corresponding to the congestion degree of each vehicle 12. For example, [green] indicates a normal state without congestion, [yellow] indicates congestion, and [red] indicates large congestion.
【0025】次に、各部における詳細動作を順番に説明
する。図4は、列車11が駅15のホーム16に到着し
てから該当駅15を発車するまでの期間(計測期間T)
における各車両12の乗客重量Wi (i=1,2,3,4.…)の
変化を示す図である。列車11が駅15のホーム16に
到着して扉が開くと、乗客が降車するので乗客重量Wi
は低下し、全ての降車客が降りた時点で、乗客重量Wi
は最小値を示す。この最小値を該当駅15(駅番号j)
における該当車両12(車両番号i)の降車後乗客重量
Waij と定義する。また、全ての降車客が降りた後に、
該当駅15のホーム16で待っていた客がこの車両12
に乗込むと乗客重量Wi が上昇する。そして、全ての客
が乗車して、扉が閉じて、列車11が該当駅15(駅番
号j)を発車した時点における乗客重量Wi を乗車後乗
客重量Wbij と定義する。Next, detailed operations in each section will be described in order. FIG. 4 shows a period from the arrival of the train 11 at the platform 16 of the station 15 to the departure of the station 15 (measurement period T).
FIG. 7 is a diagram showing a change in the passenger weight W i (i = 1, 2, 3, 4,...) Of each vehicle 12 in FIG. When the train 11 arrives at the platform 16 of the station 15 and the door opens, the passenger gets off and the passenger weight W i
At the time when all the disembarking passengers get off, the passenger weight Wi
Indicates the minimum value. This minimum value is assigned to the corresponding station 15 (station number j)
Is defined as the passenger weight Waij after getting off of the corresponding vehicle 12 (vehicle number i). Also, after all the getting off passengers,
The customer waiting at the platform 16 of the corresponding station 15
The passenger weight W i is increased and boarding. Then, all of the guests to ride, the door is closed, the train 11 is defined as the corresponding station 15 (station number j) departure point in time passenger weight W i after boarding the passenger weight W bij in the.
【0026】したがって、一つ前の駅15(駅番号j−
1)の乗車後乗客重量Wbij-1 が既知の場合、該当駅1
5(駅番号j)で降車した降車乗客重量Wcij が演算に
より求まる。Therefore, the previous station 15 (station number j-
If the post-ride passenger weight W bij-1 is known, the corresponding station 1
The getting-off passenger weight W cij that gets off at 5 (station number j) is obtained by calculation.
【0027】各車両12の各重量計13は速度計等から
列車11の停止期間に対応する計測期間Tを検出して、
この計測期間Tにおける乗客重量Wi を連続して計測し
て、送信データ作成部14へ送出する。Each weighing scale 13 of each vehicle 12 detects a measurement period T corresponding to a stop period of the train 11 from a speedometer or the like,
Passenger weight W i in the measurement period T is measured continuously, and sends it to the transmission data generation section 14.
【0028】各列車11の送信データ作成部14は自己
の列車11の走行位置を常時監視しており、該当列車1
1が駅15のホーム16に到着すると該当駅15の駅番
号jを把握できる。The transmission data generator 14 of each train 11 constantly monitors the running position of its own train 11, and
When 1 arrives at the platform 16 of the station 15, the station number j of the station 15 can be grasped.
【0029】そして、送信データ作成部14は図6に示
す流れ図に従ってデータ処理を実行する。S(ステッ
プ)1において、該当列車11がj番目の駅15のホー
ム16に到着すると、各車両12の各重量計13から計
測期間Tにおける連続した乗客重量Wij(i=1,2,3,4,
…)を受信する(S2)。次に、各連続乗客重量Wijか
ら各車両12における降車後乗客重量Waij (i=1,2,3,
4,…)を検出し(S3)、さらに、乗車後乗客重量W
bij (i=1,2,3,4,…)を検出する(S4)。そして、自
己の列車11を特定する列車番号と検出した降車後乗客
重量Waij (i=1,2,3,4,…)と乗車後乗客重量Wbij
(i=1,2,3,4,…)とをデータ送信装置18を介して、管
理センタ21へ送信する(S5)。Then, the transmission data generator 14 executes data processing according to the flowchart shown in FIG. In S (step) 1, when the train 11 arrives at the platform 16 of the j-th station 15, the continuous passenger weight W ij (i = 1,2,3) during the measurement period T from each weighing scale 13 of each vehicle 12. ,Four,
..) Is received (S2). Next, alighting after passenger weight at each vehicle 12 from each successive passenger weight W ij W aij (i = 1,2,3 ,
4,...) Are detected (S3), and the passenger weight W
bij (i = 1, 2, 3, 4,...) is detected (S4). Then, the train number specifying the own train 11, the detected passenger weight W aij (i = 1, 2, 3, 4,...) And the detected passenger weight W bij
(I = 1, 2, 3, 4,...) Is transmitted to the management center 21 via the data transmission device 18 (S5).
【0030】管理センタ21のデータ受信装置22は各
列車11から受信した列車番号と降車後乗客重量Waij
と乗車後乗客重量Wbij とをデータ処理装置23へ送付
する。The data receiving device 22 of the management center 21 receives the train number received from each train 11 and the passenger weight Waij after getting off.
And the post-ride passenger weight W bij are sent to the data processing device 23.
【0031】デー処理装置23のデータベース24に
は、図5に示すように実績降車客数メモリ28、実績乗
車客数メモリ29及び列車運行情報メモリ30が形成さ
れている。As shown in FIG. 5, the database 24 of the data processing device 23 has a memory 28 for the number of actual getting off passengers, a memory 29 for the actual number of passengers, and a train operation information memory 30.
【0032】実績降車客数メモリ28内には、各駅15
(駅番号j=1,2,3,4,…)における各車両12
(車両番号i=1,2,3,4,…)の過去の実績の降
車客数が記憶されている。同様に、実績乗車客数メモリ
29内には、各駅15における各車両12の過去の実績
の乗車客数が記憶されている。また、列車運行情報メモ
リ30内には、各列車番号毎に、該当列車11の各駅1
5における到着ホーム(停車番線)、到着時刻、発車時
刻等の列車運行に関する運行ダイヤが記憶されている。Each station 15 is stored in the actual
Each vehicle 12 at (station number j = 1, 2, 3, 4,...)
(Vehicle number i = 1, 2, 3, 4,...) Is stored as the number of passengers getting off in the past. Similarly, the actual number of passengers of each vehicle 12 at each station 15 is stored in the actual number of passengers memory 29. Further, the train operation information memory 30 stores, for each train number, each station 1 of the corresponding train 11.
Operation schedules related to train operation, such as the arrival platform (stop line), arrival time, departure time, and the like in 5 are stored.
【0033】バッファメモリ25内には、各列車11か
ら受領した現在駅15(駅番号j)及び一つ前の駅15
(駅番号j−1)における降車後乗客重量Waij ,W
aij-1と乗車後乗客重量Wbij ,Wbij-1 とを記憶保持
する。In the buffer memory 25, the current station 15 (station number j) received from each train 11 and the previous station 15
Passenger weight Waij , W after getting off at (station number j-1)
aij-1 and the post - ride passenger weights W bij and W bij-1 are stored and stored.
【0034】そして、データ処理装置23は図7の流れ
図に従ってデータ処理を実行する。先ず、Q1にて、デ
ータ処理部23は一つの列車11からj番目の駅15を
発車した直後に該当駅15における列車番号と降車後乗
客重量Waij と乗車後乗客重量Wbij とを受信すると、
データベース24の列車運行情報メモリ30を検索して
(Q2)、該当列車11の次駅15(駅番号j+1)及
び次駅15における停車番線(停車ホーム)を決定する
(Q3)。Then, the data processing device 23 executes data processing according to the flowchart of FIG. First, in Q1, the data processing unit 23 receives a single train 11 j th passengers after getting off the train number in the relevant station 15 immediately after departure of the station 15 from the weight W aij and boarding after the passenger weight W bij ,
The train operation information memory 30 of the database 24 is searched (Q2), and the next station 15 (station number j + 1) of the corresponding train 11 and the stop line (stop platform) at the next station 15 are determined (Q3).
【0035】次に、乗客一人当りの平均重量は例えば6
0Kg等の予め統計的に求まっているので、降車後乗客
重量Waij と乗車後乗客重量Wbij とからj番目の駅1
5における降車後乗客数Naij (i=1,2,3,4,…)と乗車
後乗客数Nbij (i=1,2,3,4,…)を算出する(Q4)。
この求めた降車後乗客数Naij と乗車後乗客数Nbijと
をバッファメモリ25に記憶保持しておく(Q5)。Next, the average weight per passenger is, for example, 6
Since the passenger weight W aij after getting off and the passenger weight W bij after getting off are statistically determined in advance such as 0 Kg, the j-th station 1
Then, the number of passengers after getting off Naiij (i = 1, 2, 3, 4,...) And the number of passengers after getting on N bij (i = 1, 2, 3, 4,...) Are calculated (Q4).
The obtained and drop-off after passengers N aij and boarding after passengers N bij stores held in the buffer memory 25 (Q5).
【0036】次に、データベース24の実績降車客数メ
モリ28から次駅15(駅番号j+1)における各車両
12(車両番号i=1,2,3,4,…)の実績降車客数Eij+1を
読出して(Q6)、この読出した実績降車客数Eij+1を
次駅15(駅番号j+1)での予測降車客数Bij+1(i=
1,2,3,4,…)とする(Q7)。そして、この予測降車客
数Bij+1を用いて次駅15(駅番号j+1)における該
当列車11における各車両12の予測残留乗客数Cij+1
(i=1,2,3,4,…)を下式を用いて算出する(Q8)。Next, the actual number of exiting passengers E ij + 1 of each vehicle 12 (vehicle number i = 1, 2, 3, 4,...) At the next station 15 (station number j + 1) is obtained from the actual exiting passenger number memory 28 of the database 24. (Q6), and reads the read actual number of passengers E ij + 1 to the predicted number of passengers B ij + 1 (i =
1,2,3,4, ...) (Q7). Then, the prediction alighting arrivals B ij + 1 next station 15 the number predicted residual for each passenger vehicle 12 in the relevant train 11 in (station number j + 1) C ij + 1 using
(I = 1, 2, 3, 4,...) Are calculated using the following equation (Q8).
【0037】Cij+1=Nbij −Bij+1 i=1,2,
3,4,… 次駅15(駅番号j+1)における予測残留乗客数C
ij+1が求まると、この予測残留乗客数Cij+1を各車両1
2の定員で除算して、次駅15(駅番号j+1)におけ
る各車両12(i=1,2,3,4,…)における乗客の乗車前の
混雑度(乗車率%)Dij+1(i=1,2,3,4,…)を算出する
(Q9)。C ij + 1 = N bij −B ij + 1 i = 1,2,
3,4, ... Predicted remaining passenger number C at the next station 15 (station number j + 1)
When ij + 1 is obtained, the predicted remaining passenger number C ij + 1 is calculated for each vehicle 1
2 and the congestion degree (riding rate%) D ij + 1 of each passenger 12 (i = 1, 2, 3, 4,...) At the next station 15 (station number j + 1) before the passenger gets on the vehicle (I = 1, 2, 3, 4,...) Are calculated (Q9).
【0038】Dij+1=Cij+1÷定員×100 (%) 算出した各車両12の乗車前の混雑度Dij+1(i=1,2,3,
4,…)を次駅15(駅番号j+1)へ列車番号と共に送
信する(Q10)。D ij + 1 = C ij + 1員 capacity × 100 (%) The calculated congestion degree D ij + 1 (i = 1,2,3,
4,...) Are transmitted to the next station 15 (station number j + 1) together with the train number (Q10).
【0039】次に、現在駅15(駅番号j)における各
車両12の実績降車客数Eij(i=1,2,3,4,…)をバッフ
ァメモリ25に保存されている一つ前の駅15(駅番号
j−1)における乗車後乗客数Nbij-1 と現在駅15
(駅番号j)の降車後乗客数Naij を用いて下式で算出
する(Q11)。Next, the actual number of exiting passengers E ij (i = 1, 2, 3, 4,...) Of each vehicle 12 at the current station 15 (station number j) is stored in the buffer memory 25 immediately before. The number of passengers N bij-1 after boarding at the station 15 (station number j-1) and the current station 15
It is calculated by the following formula using the number of passengers Naiij after getting off at (station number j) (Q11).
【0040】 Eij=Nbij-1 −Naij i=1,2,3,4,… そして、Q12にて、この算出された実績降車客数Eij
に対して補正を加える。すなわち、車両12が混雑して
いる場合は、列車11がホーム16に到着して各車両1
2の扉が開くと、扉近傍の客が自己がこの駅15で下車
しない場合においても、一旦ホーム16へ降車し、降車
客が全て降車したのち再度同一車両12へ乗車する。こ
のような場合、測定された降車後乗客数Naij が実際よ
り少なくなる。その結果、算出された実績降車客数Eij
が実際より多くなる。この一旦ホーム16へ降車する乗
客数は、前駅15における発車後の各車両12の混み程
度を示す乗車後乗客数Nbij-1 に応じて、経験的にほぼ
一定値に定まるので、算出された実績降車客数Eijから
この乗客数を減算する。E ij = N bij−1 −N aij i = 1,2,3,4,... Then, in Q12, the calculated actual number of getting off passengers E ij
Is corrected. That is, when the vehicles 12 are congested, the train 11 arrives at the platform 16 and each vehicle 1
When the door 2 is opened, even if the customer near the door does not get off at the station 15, the passenger once gets off to the platform 16, and after all the getting off passengers get off, he gets on the same vehicle 12 again. In such a case, the measured number of passengers after getting off Naiij becomes smaller than the actual number. As a result, the calculated actual number of getting off passengers E ij
Is more than it really is. The number of passengers who drop off to the platform 16 once is empirically determined to be a substantially constant value in accordance with the post-ride passenger number N bij-1 indicating the degree of crowding of each vehicle 12 after departure at the front station 15 and is calculated. from the track record getting off the number of customers E ij subtracting the number of passengers.
【0041】そして、補正された後の実績降車客数Eij
(i=1,2,3,4,…)をデータベース24の実績降車客数メ
モリ28へ登録する(Q13)。具体的には、実績降車
客数メモリ28の対応する平均的な客数を該当実績降車
客数Eijで学習して、さらに正確な値に更新する。Then, the actual number of getting off passengers E ij after the correction
(I = 1, 2, 3, 4,...) Are registered in the actual number of passengers getting off memory 28 of the database 24 (Q13). Specifically, the corresponding average number of passengers in the actual number of exiting passengers memory 28 is learned by the corresponding actual number of exiting passengers Eij , and updated to a more accurate value.
【0042】次に、現在駅15(駅番号j)における各
車両12の実績乗車客数Fij(i=1,2,3,4,…)をバッフ
ァメモリ25に保存されている降車後乗客数Naij と乗
車後乗客数Nbij とを用いて算出する(Q14)。Next, the actual number of passengers F ij (i = 1, 2, 3, 4,...) Of each vehicle 12 at the current station 15 (station number j) is stored in the buffer memory 25 and the number of passengers after getting off the vehicle. It is calculated using Naij and the number of passengers after riding Nbij (Q14).
【0043】 Fij=Nbij −Naij i=1,2,3,4,… この求めた実績乗車客数Fijをデータベース24の実績
乗車客数メモリ29へ登録する(Q15)。F ij = N bij −N aij i = 1,2,3,4,... The obtained actual number of passengers F ij is registered in the actual number of passengers memory 29 of the database 24 (Q 15).
【0044】なお、この実績乗車客数メモリ29に登録
された各駅15,各車両12の実績乗車客数Fijは後日
該当鉄道会社における列車ダイヤ編成や駅舎建設の参考
データに使用される。The actual number of passengers F ij of each station 15 and each vehicle 12 registered in the actual number of passengers memory 29 will be used later as reference data for train schedule formation and station building construction at the corresponding railway company.
【0045】以上で、一つの列車11が一つの駅15
(駅番号j)を発車した時における次駅15(駅番号j
+1)での各車両12の乗車前の混雑度Dij+1の算出処
理が終了したので、駅番号jを更新して(Q16)、Q
1へ戻り、次の駅15からのデータ受信を待つ。As described above, one train 11 is connected to one station 15
Next station 15 (station number j) when departure (station number j)
Since the calculation processing of the congestion degree D ij + 1 of each vehicle 12 before boarding in (+1) has been completed, the station number j is updated (Q16), and Q
The process returns to 1 and waits for data reception from the next station 15.
【0046】管理センタ21のデータ処理装置23から
列車番号と各車両12の乗車前の混雑度Dij+1(i=1,2,
3,4,…)を受信した次の駅15(駅番号j+1)のデー
タ受信装置31は、乗車前の混雑度Dij+1(i=1,2,3,4,
…)を該当列車11が到着するホーム16の表示器17
に図3に示すように各車両12の各車両パターン26
a,27b毎に色別表示する。The train number and the congestion degree D ij + 1 (i = 1, 2,
, 3), the data receiving device 31 of the next station 15 (station number j + 1) receives the congestion degree D ij + 1 (i = 1, 2, 3, 4, 4, 5) before boarding.
…) Is displayed on the display 17 of the platform 16 where the train 11 arrives.
As shown in FIG. 3, each vehicle pattern 26 of each vehicle 12
a and 27b are displayed in different colors.
【0047】例えば[緑色]は混雑でない通常状態を示
し、[黄色]は混雑を示し、[赤色]は大混雑を示す。
この各車両パターン26a,27bを[緑色],[黄
色],[赤色]に色別表示する場合における混雑度D
ij+1の各境界値(表示範囲)は各鉄道会社が過去の実績
に基づいて決定する。For example, [green] indicates a normal state without congestion, [yellow] indicates congestion, and [red] indicates large congestion.
The congestion degree D when each of the vehicle patterns 26a and 27b is displayed in a different color [green], [yellow], and [red].
Each boundary value (display range) of ij + 1 is determined by each railway company based on past results.
【0048】このように構成された列車混雑度表示方法
が採用された列車混雑度表示システムにおいては、各駅
15のホーム16の上方位置の表示器17に表示される
次にこのホーム17に到着する列車11の各車両12の
混雑度Dijは一つ前の駅15で測定された乗車後乗客重
量Wbij-1 から得られた乗車後乗客数Nbij-1 から当駅
15で該当車両12から降車する予測降車客数Bijを減
算した当駅での予測残留乗客数Cijから求めている。In the train congestion degree display system adopting the train congestion degree display method thus configured, the train 17 is displayed on the display 17 above the platform 16 at each station 15 and then arrives at the platform 17. The congestion degree D ij of each vehicle 12 of the train 11 is calculated based on the number of post-ride passengers N bij-1 obtained from the post-ride passenger weight W bij-1 measured at the previous station 15 and the corresponding vehicle 12 at this station 15. From the estimated remaining number of passengers C ij at the station obtained by subtracting the expected number of getting off passengers B ij from the station.
【0049】したがって、ホーム16で列車11の到着
を待っている乗客にとっては、ホーム16に到着してま
だ当駅15で降車予定の乗客が乗車した状態の混雑度で
はなくて、当駅15で降車客が各車両12から降車した
後の混雑度Dijが表示される。したがって、これから、
乗車しようとする車両12の正確な混雑度が把握でき、
当駅15を発車する列車11の各車両12相互間の混雑
度がより一層均一化できる。Therefore, the passengers waiting for the arrival of the train 11 at the platform 16 are not at the congestion degree where the passengers arriving at the platform 16 and getting off at the station 15 are still on board. The congestion degree Dij after the disembarking passenger gets off each vehicle 12 is displayed. Therefore, from now on
The exact congestion degree of the vehicle 12 to be boarded can be grasped,
The congestion degree between the vehicles 12 of the train 11 departing from the station 15 can be further uniformed.
【0050】その結果、乗客にとって不快な通勤を少し
でも回避でき、鉄道会社にとっても、各列車11におけ
る乗客の降乗りの所要時間を短縮でき、全体の輸送効率
を向上できる。As a result, uncomfortable commuting for passengers can be avoided at all, and the time required for passengers to get off and get on each train 11 can be shortened for the railway company, and overall transportation efficiency can be improved.
【0051】なお、本発明は上述した実施形態に限定さ
れるものてはない。例えば管理センタ21のデータ処理
装置23や列車11の送信デーテ作成装置14における
各データ処理を実行する制御プログラムは例えばFD
(フロッピーディスク)やCD−R0M等の記録媒体か
ら供給することも可能である。The present invention is not limited to the embodiment described above. For example, a control program for executing each data processing in the data processing device 23 of the management center 21 and the transmission data creating device 14 of the train 11 is, for example, FD.
(Floppy disk) or a recording medium such as CD-R0M.
【0052】[0052]
【発明の効果】以上説明したように本発明の列車混雑度
表示方法及び列車混雑度表示システムにおいては、現在
駅における各車両の乗客重量を連続測定して、次駅にお
ける各車両から乗客が降りた後の残留乗客数を予測し、
この残留乗客数を混雑状況として次駅に表示している。As described above, in the train congestion degree display method and train congestion degree display system of the present invention, the passenger weight of each vehicle at the current station is continuously measured, and the passengers get off from each vehicle at the next station. The number of remaining passengers after
The number of remaining passengers is displayed at the next station as congestion.
【0053】したがって、次駅のホームにいる列車待ち
の客に対して、これから乗車しようとする車両の乗車時
点における正確な混雑状況を把握できるより有用な情報
を提供でき、かつ鉄道会社にとっても1列車内における
各車両相互間の乗車率を均一化でき、全体としての輸送
効率を向上できる。Therefore, it is possible to provide a train waiting customer at the platform of the next station with more useful information for grasping the exact congestion state at the time of boarding of the vehicle to be boarded, and for the railway company as well. The occupancy rate between each vehicle in the train can be made uniform, and the overall transportation efficiency can be improved.
【図1】 本発明の一実施形態の列車混雑度表示方法が
採用された列車混雑度表示システムの概略構成を示す模
式図FIG. 1 is a schematic diagram showing a schematic configuration of a train congestion degree display system employing a train congestion degree display method according to an embodiment of the present invention.
【図2】 同実施形態システムにおける駅のホームに対
する表示器の配設位置を示す図FIG. 2 is a diagram showing an arrangement position of a display device with respect to a station platform in the system of the embodiment.
【図3】 同表示器の表示内容を示す図FIG. 3 is a diagram showing display contents of the display.
【図4】 各列車の駅に到着してから出発するまでの各
車両の乗客重量特性図FIG. 4 is a diagram showing passenger weight characteristics of each vehicle from arrival at a train station to departure.
【図5】 同実施形態システムのデータベースの記憶内
容を示す図FIG. 5 is a view showing storage contents of a database of the system of the embodiment.
【図6】 同実施形態システムの列車における送信デー
タ作成装置の動作を示す流れ図FIG. 6 is a flowchart showing the operation of the transmission data creation device in the train of the system of the embodiment.
【図7】 同実施形態システムの管理センタにおけるデ
ータ処理装置の動作を示す流れ図FIG. 7 is a flowchart showing an operation of the data processing device in the management center of the system according to the embodiment;
【図8】 従来の各車両の混雑度表示手法を示す図FIG. 8 is a diagram showing a conventional congestion degree display method for each vehicle.
11…列車 12…車両 13…重量計 14…送信データ作成装置 15…駅 16…ホーム 17…表示器 21…管理センタ 23…データ処理装置 24…データベース 28…実績降車客数メモリ DESCRIPTION OF SYMBOLS 11 ... Train 12 ... Vehicle 13 ... Weight scale 14 ... Transmission data creation device 15 ... Station 16 ... Home 17 ... Display 21 ... Management center 23 ... Data processing device 24 ... Database 28 ... Actual number of passengers getting off
Claims (2)
するまでの計測期間における各車両毎の乗客重量を連続
測定し、 この連続測定された各車両の計測期間における最小重量
に対応する降車後乗客数と計測期終了時の重量に対応す
る乗車後乗客数とを求め、 この求められた現在駅の乗車後乗客数から、過去の実績
降車客数にて得られる次駅の予測降車客数を減算して、
次駅における各車両の残留乗客数を算出し、 この算出された各車両の残留乗客数を各車両の混雑状況
として次駅の表示装置に表示出力することを特徴とする
列車混雑度表示方法。1. A passenger weight of each vehicle is continuously measured during a measurement period from when a train arrives at each station to when the train departs from the station, and corresponds to a minimum weight of each continuously measured vehicle during the measurement period. The number of passengers after getting off and the number of passengers after boarding corresponding to the weight at the end of the measurement period are calculated, and the number of passengers getting off at the current station is calculated from the number of passengers after getting on at the current station. Subtract
A train congestion degree display method, comprising: calculating the number of remaining passengers of each vehicle at a next station; and displaying the calculated number of remaining passengers of each vehicle as a congestion state of each vehicle on a display device of the next station.
するまでの計測期間における各車両毎の乗客重量を連続
測定する乗客重量測定装置と、 この乗客重量測定装置にて連続測定された各車両の計測
期間における最小重量に対応する降車後乗客数と計測期
終了時の重量に対応する乗車後乗客数とを求める乗客数
抽出手段と、 列車が任意駅の一つ前の駅に到着した時に前記乗客数抽
出手段で得られる前駅の乗車後乗客数から任意駅に到着
した時に前記乗客数抽出手段で得られる任意駅の降車後
乗客人数を減算して任意駅における各車両の実績降車客
数を算出する実績降車客数算出手段と、 各駅毎に算出される各車両の実績降車客数を記憶する実
績降車客数メモリと、 前記乗客数抽出手段で求められた現在駅の乗車後乗客数
から、前記実績降車客数メモリに記憶された次駅の実績
降車客数から得られる次駅の予測降車客数を減算して、
次駅における各車両の残留乗客数を算出する残留乗客数
算出手段と、 この算出された各車両の残留乗客数を各車両の混雑状況
として次駅の表示装置に表示出力する表示制御手段とを
備えた列車混雑度表示システム。2. A passenger weight measuring device for continuously measuring the passenger weight of each vehicle during a measurement period from when the train arrives at each station to when the train departs from the station, and the passenger weight measuring device continuously measures the passenger weight. Passenger number extraction means for finding the number of passengers after getting off corresponding to the minimum weight of each vehicle during the measurement period and the number of passengers after getting off corresponding to the weight at the end of the measurement period, and the train arrives at the station immediately before any station The number of passengers after getting off at any station obtained by the passenger number extracting means when arriving at the arbitrary station is calculated by subtracting the number of passengers after getting off at the arbitrary station from the number of passengers after getting on the previous station obtained by the passenger number extracting means at the time of arrival. The actual number of passengers calculating the number of passengers, the actual number of passengers memory storing the actual number of passengers of each vehicle calculated for each station, and the number of passengers after boarding the current station determined by the number of passengers extraction means , The actual alighting By subtracting the predicted alighting arrivals next station obtained from actual dismounting arrivals stored next station number memory,
A remaining passenger number calculating means for calculating the number of remaining passengers of each vehicle at the next station, and a display control means for displaying and outputting the calculated number of remaining passengers of each vehicle as a congestion state of each vehicle on a display device of the next station. Equipped train congestion level display system.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2652797A JPH10217968A (en) | 1997-02-10 | 1997-02-10 | Train congestion degree indication method and its indication system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2652797A JPH10217968A (en) | 1997-02-10 | 1997-02-10 | Train congestion degree indication method and its indication system |
Publications (1)
Publication Number | Publication Date |
---|---|
JPH10217968A true JPH10217968A (en) | 1998-08-18 |
Family
ID=12195961
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2652797A Pending JPH10217968A (en) | 1997-02-10 | 1997-02-10 | Train congestion degree indication method and its indication system |
Country Status (1)
Country | Link |
---|---|
JP (1) | JPH10217968A (en) |
Cited By (24)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000190847A (en) * | 1998-12-25 | 2000-07-11 | Mitsubishi Electric Corp | Congestion state notice system |
JP2003285637A (en) * | 2002-03-29 | 2003-10-07 | Toshiba Corp | Air-conditioning control method for vehicle |
JP2004243791A (en) * | 2003-02-10 | 2004-09-02 | Hitachi Electronics Service Co Ltd | Method and system for grasping/displaying boarding state for each train car |
JP2007249277A (en) * | 2006-03-13 | 2007-09-27 | Nec Corp | System, method, and program for predicting congestion status of vehicle |
JP2009521902A (en) * | 2005-12-23 | 2009-06-04 | エーエスエフ−キーストーン インコーポレイテッド | Train monitoring system |
JP2012101640A (en) * | 2010-11-09 | 2012-05-31 | Mitsubishi Electric Corp | Information service system for congestion in train |
JP2012118790A (en) * | 2010-12-01 | 2012-06-21 | Hitachi Ltd | Congestion degree estimation apparatus |
JP2015009604A (en) * | 2013-06-27 | 2015-01-19 | 株式会社日立製作所 | Train congestion prediction system and train congestion prediction method |
US9365223B2 (en) | 2010-08-23 | 2016-06-14 | Amsted Rail Company, Inc. | System and method for monitoring railcar performance |
JP2016168876A (en) * | 2015-03-11 | 2016-09-23 | 株式会社東芝 | Congestion predictor and congestion prediction method |
JP2017522679A (en) * | 2014-07-14 | 2017-08-10 | ベーム,ゲリット | Capacity prediction for public transport vehicles |
JP2018058493A (en) * | 2016-10-05 | 2018-04-12 | 富士通株式会社 | Station guide system, station guide program, and station guide method |
US10137915B2 (en) | 2013-12-24 | 2018-11-27 | Amsted Rail Company, Inc. | System and method for detecting operational anomalies in train consists and railcars |
JP2019089417A (en) * | 2017-11-14 | 2019-06-13 | 株式会社日立製作所 | Vehicle information display system, vehicle information display method, and server device for vehicle information display |
JP2019171887A (en) * | 2018-03-26 | 2019-10-10 | 株式会社エヌ・ティ・ティ・データ | Passenger weight uniformization support device and support method for the same |
JPWO2018155031A1 (en) * | 2017-02-24 | 2019-12-19 | 株式会社日立製作所 | Management system, management device, and management method |
US10850755B2 (en) | 2015-05-27 | 2020-12-01 | Amsted Rail Company, Inc. | System and method for building and managing a train consist |
CN113665636A (en) * | 2021-09-02 | 2021-11-19 | 中铁第一勘察设计院集团有限公司 | Subway intelligent passenger guidance system |
US11180170B2 (en) | 2018-01-24 | 2021-11-23 | Amsted Rail Company, Inc. | Discharge gate sensing method, system and assembly |
CN114187698A (en) * | 2020-08-25 | 2022-03-15 | 刘健 | Database system for controlling gate of station taking area |
US11312350B2 (en) | 2018-07-12 | 2022-04-26 | Amsted Rail Company, Inc. | Brake monitoring systems for railcars |
KR20220129813A (en) * | 2021-03-17 | 2022-09-26 | 주식회사 와이엠씨 | method of building a database of manless parking lot and using such a database |
US11462102B2 (en) | 2017-09-29 | 2022-10-04 | Fujitsu Limited | Storage medium, estimation device, and estimation method |
US11595256B2 (en) | 2018-04-17 | 2023-02-28 | Amsted Rail Company, Inc. | Autonomous optimization of intra-train communication network |
-
1997
- 1997-02-10 JP JP2652797A patent/JPH10217968A/en active Pending
Cited By (28)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000190847A (en) * | 1998-12-25 | 2000-07-11 | Mitsubishi Electric Corp | Congestion state notice system |
JP2003285637A (en) * | 2002-03-29 | 2003-10-07 | Toshiba Corp | Air-conditioning control method for vehicle |
JP2004243791A (en) * | 2003-02-10 | 2004-09-02 | Hitachi Electronics Service Co Ltd | Method and system for grasping/displaying boarding state for each train car |
JP2009521902A (en) * | 2005-12-23 | 2009-06-04 | エーエスエフ−キーストーン インコーポレイテッド | Train monitoring system |
US8212685B2 (en) | 2005-12-23 | 2012-07-03 | Amsted Rail Company, Inc. | Railroad train monitoring system |
JP2007249277A (en) * | 2006-03-13 | 2007-09-27 | Nec Corp | System, method, and program for predicting congestion status of vehicle |
US9981673B2 (en) | 2010-08-23 | 2018-05-29 | Amsted Rail Company, Inc. | System and method for monitoring railcar performance |
US9365223B2 (en) | 2010-08-23 | 2016-06-14 | Amsted Rail Company, Inc. | System and method for monitoring railcar performance |
JP2012101640A (en) * | 2010-11-09 | 2012-05-31 | Mitsubishi Electric Corp | Information service system for congestion in train |
JP2012118790A (en) * | 2010-12-01 | 2012-06-21 | Hitachi Ltd | Congestion degree estimation apparatus |
JP2015009604A (en) * | 2013-06-27 | 2015-01-19 | 株式会社日立製作所 | Train congestion prediction system and train congestion prediction method |
US10137915B2 (en) | 2013-12-24 | 2018-11-27 | Amsted Rail Company, Inc. | System and method for detecting operational anomalies in train consists and railcars |
JP2017522679A (en) * | 2014-07-14 | 2017-08-10 | ベーム,ゲリット | Capacity prediction for public transport vehicles |
JP2016168876A (en) * | 2015-03-11 | 2016-09-23 | 株式会社東芝 | Congestion predictor and congestion prediction method |
US10850755B2 (en) | 2015-05-27 | 2020-12-01 | Amsted Rail Company, Inc. | System and method for building and managing a train consist |
JP2018058493A (en) * | 2016-10-05 | 2018-04-12 | 富士通株式会社 | Station guide system, station guide program, and station guide method |
JPWO2018155031A1 (en) * | 2017-02-24 | 2019-12-19 | 株式会社日立製作所 | Management system, management device, and management method |
US11462102B2 (en) | 2017-09-29 | 2022-10-04 | Fujitsu Limited | Storage medium, estimation device, and estimation method |
JP2019089417A (en) * | 2017-11-14 | 2019-06-13 | 株式会社日立製作所 | Vehicle information display system, vehicle information display method, and server device for vehicle information display |
US11180170B2 (en) | 2018-01-24 | 2021-11-23 | Amsted Rail Company, Inc. | Discharge gate sensing method, system and assembly |
JP2019171887A (en) * | 2018-03-26 | 2019-10-10 | 株式会社エヌ・ティ・ティ・データ | Passenger weight uniformization support device and support method for the same |
US11595256B2 (en) | 2018-04-17 | 2023-02-28 | Amsted Rail Company, Inc. | Autonomous optimization of intra-train communication network |
US12021687B2 (en) | 2018-04-17 | 2024-06-25 | Amsted Rail Company, Inc. | Autonomous optimization of intra-train communication network |
US11312350B2 (en) | 2018-07-12 | 2022-04-26 | Amsted Rail Company, Inc. | Brake monitoring systems for railcars |
US11993235B2 (en) | 2018-07-12 | 2024-05-28 | Amsted Rail Company, Inc. | Brake monitoring systems for railcars |
CN114187698A (en) * | 2020-08-25 | 2022-03-15 | 刘健 | Database system for controlling gate of station taking area |
KR20220129813A (en) * | 2021-03-17 | 2022-09-26 | 주식회사 와이엠씨 | method of building a database of manless parking lot and using such a database |
CN113665636A (en) * | 2021-09-02 | 2021-11-19 | 中铁第一勘察设计院集团有限公司 | Subway intelligent passenger guidance system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JPH10217968A (en) | Train congestion degree indication method and its indication system | |
US20240310840A1 (en) | Transportation system | |
EP2923913B1 (en) | Automatic train operation system | |
US20230091588A1 (en) | Artificial intelligence for responsive operation for vehicle fleet management and method thereof | |
EP2738060A1 (en) | Passenger guidance system for guidance of passengers within a public transportation vehicle | |
CN104240529B (en) | Method and system for predicting arrival time of buses | |
JP2001055145A (en) | Method of estimating number of passengers of train in dynamic environment and operation arrangement support system | |
CN112214873B (en) | Passenger flow distribution simulation evaluation method and system under rail transit fault | |
CN111401643B (en) | Urban rail transit passenger flow loop self-adaptive intelligent train scheduling method | |
JP2017124646A (en) | Operation management system and operation management method | |
CN115762229B (en) | Multi-vehicle-type vehicle arrival guiding method, system, equipment and medium for dynamic berth allocation | |
CN116542404B (en) | Prediction method for continuous transfer time of station-supporting passengers of passenger transportation hub station | |
JPH09156507A (en) | Train total traffic control device | |
US7096114B2 (en) | Method of regulating a transport system | |
CN114707709A (en) | Safety early warning method and system for comprehensive passenger transport hub of railway | |
JPH11192948A (en) | Railway control device | |
JP4892581B2 (en) | Bus boarding guidance system and bus boarding guidance method | |
Li et al. | Real-time scheduling on a transit bus route | |
Reilly et al. | Public transport capacity analysis procedures for developing cities | |
JPS60259567A (en) | Train service control system | |
JP7425680B2 (en) | Navigation device and navigation method | |
JP5810510B2 (en) | Train congestion information service system | |
WO2021024575A1 (en) | Traffic advertisement distribution system, traffic advertisement distribution program, and traffic advertisement distribution method | |
EP3971817A1 (en) | Method and system for determining an occupation state of a coach of a guided vehicle | |
Vojtek et al. | Methodology for calculation of minimum transfer time in the transport hub |