JP2003006376A - Confusion forecast method of holiday resort and system thereof - Google Patents
Confusion forecast method of holiday resort and system thereofInfo
- Publication number
- JP2003006376A JP2003006376A JP2001188124A JP2001188124A JP2003006376A JP 2003006376 A JP2003006376 A JP 2003006376A JP 2001188124 A JP2001188124 A JP 2001188124A JP 2001188124 A JP2001188124 A JP 2001188124A JP 2003006376 A JP2003006376 A JP 2003006376A
- Authority
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- Prior art keywords
- resort
- information
- congestion
- management server
- vehicles
- 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.)
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Links
- 238000000034 method Methods 0.000 title claims abstract description 9
- 230000006854 communication Effects 0.000 abstract description 3
- 230000000694 effects Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 230000007175 bidirectional communication Effects 0.000 description 1
Landscapes
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
【０００１】[0001]
【発明の属する技術分野】本発明は、交通手段の利用者
情報を用いて行楽地の来場者数と来場車両数を算出し、
さらに行楽地混雑情報から将来の混雑情報を算出するこ
とで行楽地の混雑を判断する行楽地の混雑予測方法およ
びシステムに関するものである。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention calculates the number of visitors and the number of vehicles at a resort by using user information of means of transportation.
Further, the present invention relates to a method and system for predicting congestion at a resort, which determines congestion at the resort by calculating future congestion information from the congestion information at the resort.
【０００２】[0002]
【従来の技術】従来は行楽地の来園時の混雑を知る情報
は提供されていなかった。そのため、季節・天気・時間
等の情報から、来場者は経験で予測し判断していた。2. Description of the Related Art Conventionally, no information has been provided to know the congestion at the time of visit to a resort. Therefore, from the information such as season, weather, and time, the visitors had to predict based on their experience.
【０００３】[0003]
【発明が解決しようとする課題】当日、目的地に到着し
た来場者が、実際には入場制限や来場者数により、多く
の待ち時間を取られる場合や、入場すら出来ない場合が
あった。この時に他の行楽地でも満足する来場者が他の
行楽地の混雑情報を知り得る手段がなかった。On the day, a visitor who arrives at the destination on the day may have a long waiting time or may not even be able to enter due to the entry restrictions and the number of visitors. At this time, there was no means for a visitor who was satisfied with another resort to know the congestion information of the other resort.
【０００４】したがって、本発明の目的は、行楽地の将
来の来場者数と来場車両数を予測することができる行楽
地の混雑予測方法およびシステムを提供することであ
る。SUMMARY OF THE INVENTION Therefore, an object of the present invention is to provide a method and system for predicting congestion at a recreational place, which is capable of predicting the number of future visitors and the number of vehicles at the recreational place.
【０００５】[0005]
【課題を解決するための手段】請求項１記載の行楽地の
混雑予測方法は、公共の交通手段で行楽地に来場する切
符購入者の発券情報と、行楽地周辺の道路交通情報か
ら、行楽地の来場者数と来場車両数を算出することを特
徴とするものである。According to a method of predicting congestion of a recreational place according to claim 1, a ticket is purchased by a ticket purchaser who visits the recreational place by public transportation, and road traffic information around the recreational place is used to make a vacation. It is characterized by calculating the number of visitors and the number of vehicles visiting the ground.
【０００６】請求項１記載の行楽地の混雑予測方法によ
れば、将来の行楽地の来場者数と来場車両数の情報を、
行楽地や切符購入者、車両に提供する。利用者側には、
予定通り来場するのか、しないのか、来場時の交通手段
はどうにするか、という情報を提供できる。車両には、
来場するのかしないか、空き駐車場があるか、駐車場の
待ち時間はどのくらいかの情報を提供できる。行楽地
は、精度の高い来場者数を知る事で、受入体制を修正
し、現地で効率的な運営をすることができる。[0006] According to the method for predicting congestion at a recreational place according to the first aspect, information on the number of visitors and the number of vehicles at the future recreational place is obtained.
Provide to tourist resorts, ticket buyers and vehicles. On the user side,
Information can be provided as to whether or not people will arrive as scheduled, and what transportation will be used. The vehicle has
Information can be provided on whether to visit, whether there is an empty parking lot, and how long the parking lot waits. By knowing the number of visitors with high accuracy, the resort can modify the acceptance system and operate locally efficiently.
【０００７】請求項２記載の行楽地の混雑予測システム
は、行楽地混雑情報を有する行楽地と、公共の交通手段
で行楽地に来場する切符購入者の発券情報を蓄積する発
券管理サーバと、行楽地周辺の道路交通情報を蓄積する
交通管理サーバと、発券管理サーバおよび交通管理サー
バをネットワークで接続し行楽地の来場者数と来場車両
数を算出する混雑管理サーバを備えたものである。According to another aspect of the present invention, there is provided a recreation area congestion prediction system, which includes a recreation area having recreation area congestion information, and a ticket management server for accumulating ticket purchase information of ticket purchasers who visit the resort by public transportation. The traffic management server for accumulating road traffic information around the resort and the congestion management server for connecting the ticket management server and the traffic management server via a network to calculate the number of visitors and vehicles at the resort.
【０００８】請求項２記載の行楽地の混雑予測システム
によれば、請求項１と同様な効果かある。According to the congestion predicting system for a tourist resort according to claim 2, it has the same effect as that of claim 1.
【０００９】請求項３記載の行楽地の混雑予測システム
は、混雑管理サーバは行楽地混雑情報を有する行楽地と
ネットワークで接続し、来場者数と来場車両数と行楽地
の行楽地混雑情報から、行楽地の混雑情報を算出するも
のである。According to another aspect of the congestion forecasting system of the present invention, the congestion management server is connected to the holiday resort having the tourist resort congestion information through a network, and the number of visitors, the number of visitors and the tourist resort congestion information of the tourist resort are used. , To calculate congestion information of a resort.
【００１０】請求項３記載の行楽地の混雑予測システム
によれば、請求項１と同様な効果のほか、行楽地の将来
の混雑情報を算出することにより、来場時の入園可否・
待ち時間という混雑情報を算出でき、混雑管理サーバ
が、行楽地、切符購入者、車両での来場者、行楽地への
来場希望者に対して、到着時刻の行楽地の混雑情報を提
供することができる。According to the congestion prediction system for a resort in claim 3, in addition to the same effect as in claim 1, by calculating future congestion information of the resort, it is possible to enter or not enter the park at the time of visit.
The congestion information called waiting time can be calculated, and the congestion management server provides the congestion information of the destination at the arrival time to the destination, ticket purchaser, vehicle visitors, and those who wish to visit the destination. You can
【００１１】[0011]
【発明の実施の形態】以下本発明の実施の形態につい
て、図を用いて説明する。BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described below with reference to the drawings.
【００１２】図１は、各交通手段から得られた情報か
ら、混雑情報５０を算出するための工程とそのシステム
の構成を示したものである。図２は来場者予測システム
の概略を示す。FIG. 1 shows a process for calculating congestion information 50 from the information obtained from each means of transportation and the configuration of its system. FIG. 2 shows an outline of the visitor prediction system.
【００１３】公共の交通手段１００で来場する切符購入
者１１の発券情報１５を蓄積する発券管理サーバ１と、
車両１２を交通手段２００として利用する来場者に関し
ては、行楽地４の周辺を走行する車両の道路交通情報１
６を蓄積する例えばＶＩＣＳ等の交通管理サーバ２と、
行楽地４と、混雑管理サーバ３を双方向通信が可能なネ
ットワークで接続したシステムを用いて、行楽地４の将
来の来場者数３４と来場車両数３５、並びに行楽地４の
行楽地混雑情報１８から将来の混雑情報５０を算出す
る。A ticketing management server 1 for accumulating ticketing information 15 of a ticket purchaser 11 who visits the public transportation means 100,
Regarding the visitors who use the vehicle 12 as the means of transportation 200, the road traffic information 1 of the vehicle traveling around the resort 4
A traffic management server 2 such as VICS that stores 6;
By using a system in which the resort 4 and the congestion management server 3 are connected by a network capable of bidirectional communication, the number of future visitors 34 and the number of vehicles 35 of the resort 4 and the destination congestion information of the resort 4 The future congestion information 50 is calculated from 18.
【００１４】公共の交通手段１００の利用者は、行楽地
４の最寄駅を降車駅として切符を買う。切符購入者１１
の乗車駅・降車駅、大人・小人等の情報と、その発券枚
数が発券管理サーバ１で計数され、その到着予定時間の
情報も付加されて発券情報１５として混雑管理サーバ３
に逐次送られる。The user of the public transportation means 100 buys a ticket with the nearest station of the resort area 4 as the exit station. Ticket purchaser 11
Information such as the boarding station / alighting station, adults / children, etc., and the number of issued tickets are counted by the ticket management server 1, and the information about the estimated arrival time is also added to the congestion management server 3 as ticket issuing information 15.
To be sent to.
【００１５】車両１２を交通手段２００として利用する
来場者の車両１２は行楽地４の周辺の道路を通って行楽
地４に到達する。行楽地４周辺を走行する車両の交通量
を蓄積する交通管理サーバ２から、道路交通情報１６と
して混雑管理サーバ３に逐次送る。A vehicle 12 of a visitor who uses the vehicle 12 as a means of transportation 200 reaches the resort 4 through a road around the resort 4. The traffic management server 2 that accumulates the traffic volume of vehicles traveling around the resort area 4 is sequentially sent to the congestion management server 3 as road traffic information 16.
【００１６】混雑管理サーバ３の３１は、発券管理サー
バ１の発券情報１５から、行楽地４への来場者数を算出
する算出部である。行楽地４の最寄駅での降車人数に、
その中で行楽地４への来場確率を掛けて、例えば１時間
ごとの来場時刻に関する来場者数を算出する。来場確率
は行楽地４でのアンケートを取り、その情報を利用す
る。The congestion management server 3 includes a calculator 31 for calculating the number of visitors to the resort 4 from the ticketing information 15 of the ticketing management server 1. To the number of people getting off at the nearest station of the resort area 4,
Among them, the probability of arrival at the resort 4 is multiplied to calculate the number of visitors at the hourly visit time, for example. For the probability of arrival, take a questionnaire at the resort area 4 and use that information.
【００１７】混雑管理サーバ３の３２は、道路交通情報
１６から行楽地４への来場車両数３５を算出する算出部
である。行楽地４でのアンケートにより来場車両１２の
出発地点と到着時刻を調べる。その情報から混雑管理サ
ーバ３が各来場車両の走行ルートを探索し、蓄積する。
各道路センサーを通過した車両の来場確率を事前に求め
る。実際に各センサーの通過台数を来場確率で割った値
の和に来場車両の道路センサー通過率を掛けて来場車両
数３５とする。来場確率は設置されたセンサーが行楽地
４に近づくほど精度が上がる。行楽地４に近い道路セン
サーの値ほど重みをつけて和を取る。道路交通情報１６
の更新に伴い逐次、来場車両数３５を算出する。32 of the congestion management server 3 is a calculation unit for calculating the number of vehicles 35 coming to the resort 4 from the road traffic information 16. The starting point and arrival time of the visiting vehicle 12 are checked by a questionnaire at the resort 4. The congestion management server 3 searches the traveling route of each visiting vehicle from the information and stores it.
The arrival probability of a vehicle passing through each road sensor is obtained in advance. The sum of values obtained by actually dividing the number of vehicles passing through each sensor by the visit probability is multiplied by the road sensor passage rate of the vehicles to obtain the number of vehicles visiting 35. The accuracy of the visit probability increases as the installed sensor gets closer to the resort 4. The value of the road sensor closer to the resort 4 is weighted and summed. Road traffic information 16
The number of visiting vehicles 35 is sequentially calculated in accordance with the update.
【００１８】混雑管理サーバ３の３３は、算出部３２の
来場車両数から、行楽地４への来場者数を算出する算出
部である。来場車両あたりの平均搭乗者数を掛けて、来
場時刻に関する来場者数を算出する。33 of the congestion management server 3 is a calculation unit for calculating the number of visitors to the resort 4 from the number of vehicles visited by the calculation unit 32. Multiply the average number of passengers per visiting vehicle to calculate the number of visitors regarding the arrival time.
【００１９】混雑管理サーバ３の４０は、算出部３１と
３３から、来場者数を来場時刻ごとに加え、行楽地４の
来場者数３４とする。40 of the congestion management server 3 adds the number of visitors from the calculation units 31 and 33 at each visit time to obtain the number of visitors 34 at the resort 4.
【００２０】混雑管理サーバ３の３６は、行楽地４の来
場者数３４と来場車両数３５と行楽地混雑情報１８か
ら、来場車両が待ち時間無しで行楽地４の駐車場に駐車
可能であるか、待ち時間が発生するか、判定する判定部
である。来場車両数３５において駐車可能台数を超える
時刻以降に来場する車両に関して駐車可能になるまでの
待ち時間を算出していく。行楽地混雑情報１８に含まれ
る行楽地４の駐車時間から計算する。続いて、来場者数
３４において、行楽地混雑情報１８に含まれる行楽地４
の定めた人数を閾値とし、それ超える来場者が到着する
時刻以降に到着する来場者には入場可能かどうか、待ち
時間はあるか、行楽地４の混雑を逐次算出し、混雑情報
５０として提供する。双方向通信可能なカーナビ搭載車
両では混雑情報５０を逐次入手できる。行楽地４以外の
行楽地においても同様の混雑情報５０を算出し提供する
ことで、行楽地の正確な混雑情報が提供される。36 of the congestion management server 3 can park a visiting vehicle in the parking lot of the resort 4 without waiting based on the number of visitors 34, the number of visiting vehicles 35 and the destination congestion information 18 of the resort 4. It is a determination unit that determines whether or not a waiting time occurs. With respect to the number of vehicles coming in, the waiting time until parking becomes possible is calculated for the vehicles that come after the time when the number of vehicles that can be parked exceeds the number that can be parked. It is calculated from the parking time of the resort 4 included in the tourist resort congestion information 18. Next, in the number of visitors 34, the tourist resort 4 included in the tourist resort congestion information 18
The threshold is set to the number of people specified above, and whether or not the visitors who arrive after the arrival time can enter, whether there is a waiting time, the congestion of the resort 4 is sequentially calculated, and provided as congestion information 50. To do. The congestion information 50 can be sequentially obtained in a vehicle equipped with a car navigation system capable of two-way communication. By calculating and providing the same congestion information 50 in the resorts other than the resort 4 as well, accurate congestion information of the resorts is provided.
【００２１】以上のように本発明により得た情報を、行
楽地４や切符購入者１１、車両１２に提供する。利用者
側には、予定通り来場するのか、しないのか、来場時の
交通手段はどうにするか、という情報を提供できる。車
両１２には、来場するのかしないか、空き駐車場がある
か、駐車場の待ち時間はどのくらいかの情報を提供でき
る。行楽地４は、精度の高い来場者数を知る事で、受入
体制を修正し、現地で効率的な運営をすることができ
る。As described above, the information obtained by the present invention is provided to the resort 4, the ticket purchaser 11, and the vehicle 12. The user can be provided with information as to whether or not he / she will arrive as scheduled, and how to use the means of transportation when he / she arrives. The vehicle 12 can be provided with information on whether or not to visit, whether there is an empty parking lot, and how long the waiting time of the parking lot is. By knowing the number of visitors with high accuracy, the resort area 4 can correct the acceptance system and operate efficiently on site.
【００２２】[0022]
【発明の効果】請求項１記載の行楽地の混雑予測方法に
よれば、将来の行楽地の来場者数と来場車両数の情報
を、行楽地や切符購入者、車両に提供する。利用者側に
は、予定通り来場するのか、しないのか、来場時の交通
手段はどうにするか、という情報を提供できる。車両に
は、来場するのかしないか、空き駐車場があるか、駐車
場の待ち時間はどのくらいかの情報を提供できる。行楽
地は、精度の高い来場者数を知る事で、受入体制を修正
し、現地で効率的な運営をすることができる。According to the method for predicting congestion at a resort, the information on the number of visitors and the number of vehicles at the future resort is provided to the resort, the ticket purchaser, and the vehicle. The user can be provided with information as to whether or not he / she will arrive as scheduled, and how to use the means of transportation when he / she arrives. The vehicle can provide information about whether or not to visit, whether there is an empty parking lot, and how long the parking lot waits. By knowing the number of visitors with high accuracy, the resort can modify the acceptance system and operate locally efficiently.
【００２３】請求項２記載の行楽地の混雑予測システム
によれば、請求項１と同様な効果かある。According to the congestion prediction system for a resort in the second aspect, the same effect as in the first aspect can be obtained.
【００２４】請求項３記載の行楽地の混雑予測システム
によれば、請求項１と同様な効果のほか、行楽地の将来
の混雑情報を算出することにより、来場時の入園可否・
待ち時間という混雑情報を算出でき、混雑管理サーバ
が、行楽地、切符購入者、車両での来場者、行楽地への
来場希望者に対して、到着時刻の行楽地の混雑情報を提
供することができる。According to the congestion prediction system for a tourist resort according to claim 3, in addition to the same effect as in claim 1, by calculating future congestion information of the tourist resort, it is possible to enter or not enter the park at the time of visit.
The congestion information called waiting time can be calculated, and the congestion management server provides the congestion information of the destination at the arrival time to the destination, ticket purchaser, vehicle visitors, and those who wish to visit the destination. You can
【図１】本発明の一実施の形態を示すシステム構成図で
ある。FIG. 1 is a system configuration diagram showing an embodiment of the present invention.
【図２】来場者の予測システムの概略説明図である。FIG. 2 is a schematic explanatory diagram of a visitor prediction system.
1 発券管理サーバ 2 交通管理サーバ 3 混雑管理サーバ 4 行楽地 11 切符購入者 12 車両 15 発券情報 16 道路交通情報 18 行楽地混雑情報 31 発券情報→来場者数算出部 32 道路交通情報→来場車両数算出部 33 来場車両数→来場者数算出部 34 来場者数 35 来場車両数 36 入園可否判定・待ち時間算出判定部 50 行楽地の混雑情報 1 Ticketing management server 2 Traffic management server 3 Congestion management server 4 playgrounds 11 ticket purchaser 12 vehicles 15 ticketing information 16 Road traffic information 18 Vacation destination congestion information 31 Ticketing information → Number of visitors calculation section 32 Road traffic information-> Number of vehicles visited 33 Number of vehicles visited → Number of visitors calculation section 34 Number of visitors 35 Number of vehicles 36 Admission decision / waiting time calculation decision unit 50 tourist resort congestion information
Claims (3)
購入者の発券情報と、前記行楽地周辺の道路交通情報か
ら、前記行楽地の来場者数と来場車両数を算出すること
を特徴とする行楽地の混雑予測方法。1. The number of visitors and the number of vehicles visiting the resort are calculated from ticketing information of a ticket purchaser who visits the resort by public transportation and road traffic information around the resort. A method of predicting congestion at a resort.
の交通手段で前記行楽地に来場する切符購入者の発券情
報を蓄積する発券管理サーバと、前記行楽地周辺の道路
交通情報を蓄積する交通管理サーバと、前記発券管理サ
ーバおよび前記交通管理サーバをネットワークで接続し
前記行楽地の来場者数と来場車両数を算出する混雑管理
サーバを備えた行楽地の混雑予測システム。2. A tourist resort having tourist resort congestion information, a ticket management server that stores ticket ticket information of ticket purchasers who visit the tourist resort by public transportation, and road traffic information around the tourist resort. A traffic congestion management system for connecting to a traffic management server, the ticket management server and the traffic management server via a network, and a congestion management server for calculating the number of visitors and the number of vehicles at the tourist resort.
る行楽地とネットワークで接続し、来場者数と来場車両
数と前記行楽地の行楽地混雑情報から、前記行楽地の混
雑情報を算出する請求項２記載の行楽地の混雑予測シス
テム。3. The congestion management server is connected to a recreation area having the congestion information of the recreation area through a network, and calculates congestion information of the recreation area from the number of visitors, the number of visiting vehicles and the recreation area congestion information of the recreation area. The congestion prediction system for a vacation resort according to claim 2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2001188124A JP2003006376A (en) | 2001-06-21 | 2001-06-21 | Confusion forecast method of holiday resort and system thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2001188124A JP2003006376A (en) | 2001-06-21 | 2001-06-21 | Confusion forecast method of holiday resort and system thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JP2003006376A true JP2003006376A (en) | 2003-01-10 |
Family
ID=19027291
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2001188124A Pending JP2003006376A (en) | 2001-06-21 | 2001-06-21 | Confusion forecast method of holiday resort and system thereof |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP2003006376A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105427612A (en) * | 2016-01-21 | 2016-03-23 | 江苏省城市规划设计研究院 | Configuration method of hub normal bus transit connecting lines based on road condition constraints |
| JPWO2019059137A1 (en) * | 2017-09-20 | 2020-10-15 | 本田技研工業株式会社 | Information analyzer and information analysis method |
-
2001
- 2001-06-21 JP JP2001188124A patent/JP2003006376A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105427612A (en) * | 2016-01-21 | 2016-03-23 | 江苏省城市规划设计研究院 | Configuration method of hub normal bus transit connecting lines based on road condition constraints |
| JPWO2019059137A1 (en) * | 2017-09-20 | 2020-10-15 | 本田技研工業株式会社 | Information analyzer and information analysis method |
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