JP2014225098A - Traffic control system and privilege information providing method - Google Patents

Traffic control system and privilege information providing method Download PDF

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JP2014225098A
JP2014225098A JP2013103398A JP2013103398A JP2014225098A JP 2014225098 A JP2014225098 A JP 2014225098A JP 2013103398 A JP2013103398 A JP 2013103398A JP 2013103398 A JP2013103398 A JP 2013103398A JP 2014225098 A JP2014225098 A JP 2014225098A
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congestion
privilege information
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road
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JP6192980B2 (en
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恵 前田
Megumi Maeda
恵 前田
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Toshiba Corp
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Abstract

PROBLEM TO BE SOLVED: To provide a traffic control system capable of reducing congestion on roads and congestion related to facilities.SOLUTION: A traffic control system includes a communication unit, a congestion determination unit, a facility congestion determination unit, a privilege information determination unit, and a privilege information providing unit. The communication unit performs wireless communication with vehicles traveling on roads. The congestion determination unit determines a traffic congestion degree of specific sections on the roads. The facility congestion determination unit determines a congestion degree at facilities that belong to the specific sections. The privilege information determination unit determines contents of privilege information which users of the vehicles can use at the facilities, on the basis of the determination results of the traffic congestion degree and the congestion degree at the facilities. The privilege information providing unit provides the privilege information determined by the privilege information determination unit, for the vehicles through the communication unit.

Description

本発明の実施形態は、交通管制システム及び特典情報提供方法に関する。   Embodiments described herein relate generally to a traffic control system and a privilege information providing method.

従来、特に高速道路や有料道路においては、車両の走行に支障を来す交通渋滞(以下、単に渋滞と表記する場合がある)の解消が課題である。そこで、渋滞発生(または予測)時において、渋滞を緩和し、併せて例えばサービスエリア(SA)やパーキングエリア(PA)での店舗等の施設の利用を促進するための方法が提案されている。施設の利用とは、例えば店舗における特産物や土産品などの商品の購入である。   Conventionally, especially on expressways and toll roads, there is a problem of eliminating traffic jams (hereinafter sometimes simply referred to as traffic jams) that impede vehicle travel. In view of this, a method has been proposed for reducing the traffic jam when the traffic jam occurs (or forecasting) and, at the same time, promoting the use of a facility such as a store in the service area (SA) or the parking area (PA). The use of the facility is, for example, purchase of a product such as a special product or a souvenir at a store.

このような方法により、道路上を走行中の車両をSAやPAに誘導することにより、結果として道路上の渋滞を緩和し、かつ施設の事業収益の向上を図ることが可能である。   By guiding the vehicle running on the road to the SA or PA by such a method, it is possible to reduce traffic congestion on the road and improve the business profit of the facility as a result.

特開2008−117231号公報JP 2008-117231 A

道路上の施設利用の促進により道路上の渋滞を緩和する方法では、具体的には店舗での商品購入時の価格割引を受けられるクーポン(特典情報の一種)を走行中の車両に配信するシステムが提案されている。このシステムは、渋滞が発生すると予想される時間帯にクーポンを配信し、渋滞発生予想場所の近隣の施設への誘導を行うものである。   In the method of alleviating traffic congestion on the road by promoting the use of facilities on the road, specifically, a system that distributes coupons (a type of privilege information) that can receive price discounts when purchasing products at stores to traveling vehicles Has been proposed. This system distributes coupons at times when traffic jams are expected to occur, and guides to nearby facilities where traffic jams are expected.

しかしながら、単にクーポンを配信するだけでは、クーポンの適用先である施設の混雑状況を考慮していないため、特定の施設に対して(例えば渋滞発生が頻発する近隣のSAやPA)車両の流入が集中し、施設内における駐車場や店舗の混雑を誘発させる可能性がある。また、施設内に駐車できない車両が増大した場合には、施設へ進入する車両が原因となる新たな渋滞(2次渋滞)が発生する可能性がある。   However, simply distributing coupons does not consider the congestion status of the facility to which the coupon is applied, so there is an inflow of vehicles to a specific facility (for example, a nearby SA or PA where frequent occurrence of traffic jams). There is a possibility to concentrate and induce congestion in parking lots and stores in the facility. In addition, when the number of vehicles that cannot be parked in the facility increases, there is a possibility that a new traffic jam (secondary traffic jam) may occur due to vehicles entering the facility.

そこで、本発明の目的は、道路上の渋滞を緩和すると共に、施設に関連する渋滞を緩和できる交通管制システムを提供することにある。   Accordingly, an object of the present invention is to provide a traffic control system that can alleviate traffic jams on roads as well as alleviate traffic jams related to facilities.

本実施形態の交通管制システムは、通信手段と、渋滞判定手段と、施設混雑判定手段と、特典情報判定手段と、特典情報提供手段とを備えた構成である。前記通信手段は道路上を走行する車両との間で無線通信を行なう。前記渋滞判定手段は前記道路上の特定区間の交通渋滞度を判定する。前記施設混雑判定手段は前記特定区間に付属する施設での混雑度を判定する。前記特典情報判定手段は、前記交通渋滞度及び前記施設での混雑度の各判定結果に基づいて、前記車両のユーザが前記施設において利用可能な特典情報の内容を判定する。前記特典情報提供手段は、前記特典情報判定手段により判定された前記特典情報を、前記通信手段を介して前記車両に対して提供する。   The traffic control system of the present embodiment is configured to include a communication unit, a congestion determination unit, a facility congestion determination unit, a privilege information determination unit, and a privilege information provision unit. The communication means performs wireless communication with a vehicle traveling on a road. The traffic jam judging means judges the traffic jam degree of a specific section on the road. The facility congestion determination means determines the degree of congestion at a facility attached to the specific section. The privilege information determination means determines the content of privilege information available to the user of the vehicle at the facility based on the determination results of the traffic congestion level and the congestion level at the facility. The privilege information providing unit provides the privilege information determined by the privilege information determination unit to the vehicle via the communication unit.

実施形態に関する交通管制システムの構成を説明するためのブロック図。The block diagram for demonstrating the structure of the traffic control system regarding embodiment. 実施形態に関する特典情報配信の具体的方法を説明するための図。The figure for demonstrating the specific method of privilege information delivery regarding embodiment. 実施形態に関する渋滞度の判定例を示す図。The figure which shows the example of determination of the congestion degree regarding embodiment. 実施形態に関する渋滞影響度の判定例を示す図。The figure which shows the example of determination of the traffic jam influence degree regarding embodiment. 実施形態に関する施設の満空の判定例を示す図。The figure which shows the example of determination of the fullness of the facility regarding embodiment. 実施形態に関するクーポン割引率の判定例を示す図。The figure which shows the example of determination of the coupon discount rate regarding embodiment. 実施形態の交通管制システムの動作を説明するためのフローチャート。The flowchart for demonstrating operation | movement of the traffic control system of embodiment. 実施形態に関するクーポン割引率の判定テーブルの一例を示す図。The figure which shows an example of the determination table of the coupon discount rate regarding embodiment.

以下図面を参照して、実施形態を説明する。   Embodiments will be described below with reference to the drawings.

[システムの構成]
図1に示すように、本実施形態の交通管制システム10はインターネット23Aを経由し、道路状況観測装置20及び施設混雑状況観測装置21のそれぞれと接続して情報交換を行なう。また、交通管制システム10はインターネット23Bを経由し、路車間通信装置(以下、RVC装置と表記、RVC: road-to-vehicle communication)22と接続して情報交換を行なう。
[System configuration]
As shown in FIG. 1, the traffic control system 10 of this embodiment connects with each of the road condition observation apparatus 20 and the facility congestion condition observation apparatus 21 via the Internet 23A, and performs information exchange. The traffic control system 10 is connected to a road-to-vehicle communication device (hereinafter referred to as RVC device, RVC: road-to-vehicle communication) 22 via the Internet 23B to exchange information.

道路状況観測装置20は、高速道路または有料道路(以下、単に道路と表記する)上を撮影する監視カメラからの映像や、道路上を走行する車両の車載器からの電波等を処理し、走行車両の台数計測結果などを含む道路状況を示す観測情報を提供する。また、道路状況観測装置20は、車載器や移動体端末(スマートフォンなど)から発信される道路利用者(以下、単にユーザと表記する)からの情報(コメントやつぶやきなど)を管理するSNS(ソーシャルネットワークサービス)等を利用したシステムも含む。また、施設混雑状況観測装置21は道路状況観測装置20と同様の構成であり、観測対象が道路のサービスエリア(SA)やパーキングエリア(PA)の施設内である。施設には、物販や食事などの各種サービスを提供する店舗も含まれる。   The road condition observing device 20 processes a video from a monitoring camera that captures an expressway or a toll road (hereinafter simply referred to as a road), radio waves from an in-vehicle device of a vehicle traveling on the road, and the like. Provides observation information indicating road conditions, including vehicle count results. In addition, the road condition observation apparatus 20 is an SNS (social) that manages information (comments, tweets, etc.) from road users (hereinafter simply referred to as users) transmitted from onboard devices and mobile terminals (smartphones, etc.). This includes systems using network services. The facility congestion state observation device 21 has the same configuration as the road state observation device 20, and the observation target is in a facility in a road service area (SA) or parking area (PA). The facility also includes stores that provide various services such as product sales and meals.

RVC装置22は、狭域無線通信(DSRC : dedicated short range communication)により、道路を走行中の車両30に搭載されている車載器の通信装置31との間で情報を交換する。また、通信装置31は、インターネット23Bに接続可能で、車両30のユーザが操作する移動体端末(スマートフォンなど)でもよい。   The RVC device 22 exchanges information with the communication device 31 of the vehicle-mounted device mounted on the vehicle 30 traveling on the road by narrow-range wireless communication (DSRC: dedicated short range communication). The communication device 31 may be a mobile terminal (such as a smartphone) that can be connected to the Internet 23B and is operated by the user of the vehicle 30.

交通管制システム10は、渋滞検出部11と、渋滞予測部12と、施設間車両台数検出部13と、施設内満空検出部14と、渋滞判定部15と、渋滞影響度判定部16と、施設内満空判定部17と、クーポン割引率演算部18と、クーポン配信部19とを含む。   The traffic control system 10 includes a traffic jam detection unit 11, a traffic jam prediction unit 12, an inter-facility vehicle number detection unit 13, an in-facility fullness detection unit 14, a traffic jam determination unit 15, and a traffic jam impact determination unit 16, The facility fullness determination unit 17, the coupon discount rate calculation unit 18, and the coupon distribution unit 19 are included.

なお、交通管制システム10の各機能、道路状況観測装置20及び施設混雑状況観測装置21はそれぞれ、ハードウェア及びソフトウェアを含むコンピュータシステムにより実現される。   Each function of the traffic control system 10, the road condition observation device 20, and the facility congestion condition observation device 21 are each realized by a computer system including hardware and software.

[システムの動作]
以下、図2から図7を参照して、本実施形態のシステムの動作を説明する。
[System Operation]
Hereinafter, the operation of the system of this embodiment will be described with reference to FIGS.

図2は、道路ネットワークを構成する道路リンクの一部を示す。図2に示すように、道路に沿って、SAまたはPAの施設201A〜201Cがある間隔を持って配置されている。ここで、進行方向において、道路上のある箇所を渋滞発生箇所(または渋滞発生予測箇所)200とする。   FIG. 2 shows a part of road links constituting the road network. As shown in FIG. 2, SA or PA facilities 201 </ b> A to 201 </ b> C are arranged at certain intervals along the road. Here, a certain point on the road in the traveling direction is a traffic jam occurrence point (or a traffic jam predicted spot) 200.

道路上の渋滞発生箇所200を起点として、最も手前の施設201Aとさらに手前に存在する施設201Bと間に存在する車両群を施設間車両群202Aとする。同様にして、施設201Bと施設201Cと間に存在する車両群を施設間車両群202Bとする。また、施設201Cと図示しない施設と間に存在する車両群を施設間車両群202Cとする。   A vehicle group existing between the nearest facility 201A and a facility 201B existing in the foreground with the traffic congestion occurrence point 200 on the road as a starting point is referred to as an inter-facility vehicle group 202A. Similarly, a vehicle group existing between the facility 201B and the facility 201C is referred to as an inter-facility vehicle group 202B. A vehicle group existing between the facility 201C and a facility (not shown) is referred to as an inter-facility vehicle group 202C.

図7のフローチャートに示すように、交通管制システム10は、道路状況観測装置20から道路状況を示す観測情報を入力する(ステップS1)。交通管制システム10では、渋滞検出部11は、入力した観測情報に基づいて、後述するように、渋滞度判定部15による渋滞判定に必要な道路上の車両占有率を算出する(ステップS2)。さらに、渋滞検出部11は、入力した観測情報に基づいて道路上を走行する車両の平均速度を算出する(ステップS3)。渋滞予測部12は、入力した観測情報に基づいて道路上の特定区間の渋滞を予測する。また、渋滞予測部12は、過去の渋滞統計結果や、道路混雑に影響を与えると推定される特定のイベントまたは災害等の発生に基づいて渋滞を予測してもよい。   As shown in the flowchart of FIG. 7, the traffic control system 10 inputs observation information indicating a road condition from the road condition observation device 20 (step S1). In the traffic control system 10, the traffic jam detection unit 11 calculates the vehicle occupancy rate on the road necessary for the traffic jam judgment by the traffic jam level judgment unit 15 based on the input observation information (step S2). Furthermore, the traffic jam detector 11 calculates the average speed of the vehicle traveling on the road based on the input observation information (step S3). The traffic jam prediction unit 12 predicts traffic jam in a specific section on the road based on the input observation information. Further, the traffic jam prediction unit 12 may predict traffic jams based on past traffic statistics results or occurrence of specific events or disasters that are estimated to affect road congestion.

なお、施設内満空検出部14は、施設混雑状況観測装置21から入力する観測情報に基づいて、図2に示すように、施設201A、201B、201Cでの車両状況を検出する。施設内満空判定部17は、施設内満空検出部14により検出された車両状況に基づいて、施設201A、201B、201Cの各駐車場での満車または空車の状況を判定する。   The in-facility fullness detection unit 14 detects the vehicle status at the facilities 201A, 201B, and 201C based on the observation information input from the facility congestion status observation device 21, as shown in FIG. The in-facility fullness determination unit 17 determines the full or empty state in each parking lot of the facilities 201A, 201B, and 201C based on the vehicle state detected by the in-facility fullness detection unit.

渋滞度判定部15は、渋滞検出部11により算出された道路上の車両占有率及び平均速度に基づいて、道路上の渋滞の深刻度を示す渋滞度を判定する(ステップS4)。また、
具体的には、渋滞度判定部15は、図3に示すように、道路上の車両占有率及び平均速度に基づいて、施設間の渋滞度を例えば「渋滞」、「混雑」、「閑散」の3段階で判定する。なお、「混雑」は「渋滞」より深刻度が低い。車両占有率とは、施設間の車両走行車線(上り又は下り)の特定区間に占める車両台数の割合を示す。平均速度とは、施設間を走行する車両全ての速度の平均値である。渋滞度判定部15は、判定結果に基づいて、図2に示す箇所200を渋滞度が「渋滞」であると判定する(ステップS5のYES)。また、渋滞度判定部15は、渋滞予測部12により予測された特定区間について、渋滞度を判定してもよい。
Based on the vehicle occupancy rate and average speed on the road calculated by the traffic congestion detection unit 11, the traffic congestion level determination unit 15 determines a traffic congestion level indicating the severity of traffic congestion on the road (step S4). Also,
Specifically, as shown in FIG. 3, the congestion degree determination unit 15 determines the degree of congestion between facilities based on the vehicle occupancy rate and the average speed on the road, for example, “congestion”, “congestion”, “non-confidence”. Judgment in three stages. “Congestion” is less serious than “congestion”. The vehicle occupancy rate indicates the ratio of the number of vehicles in a specific section of a vehicle lane (up or down) between facilities. The average speed is an average value of the speeds of all vehicles traveling between facilities. Based on the determination result, the congestion degree determination unit 15 determines that the congestion degree is “congestion” in the portion 200 shown in FIG. 2 (YES in step S5). In addition, the congestion degree determination unit 15 may determine the congestion degree for the specific section predicted by the congestion prediction unit 12.

次に、施設間車両台数検出部13は、渋滞度判定部15により渋滞であると判定された施設間に関して車両台数を算出して渋滞影響度判定部16に出力する(ステップS6)。渋滞影響度判定部16は、施設間の車両台数から車両占有率を算出し、この車両占有率に基づいて渋滞影響度を判定する(ステップS7)。具体的には、渋滞影響度判定部16は、図4に示すように、施設間の車両占有率に基づいて渋滞影響度を例えば「大」、「中」、「小」の3段階で判定する。渋滞影響度が「大」の場合には、各車両が規定の速度で走行できない状態である。   Next, the inter-facility vehicle number detection unit 13 calculates the number of vehicles for the facilities determined to be congested by the traffic congestion determination unit 15 and outputs the calculated number of vehicles to the traffic jam influence determination unit 16 (step S6). The traffic jam influence degree determination unit 16 calculates the vehicle occupancy rate from the number of vehicles between the facilities, and determines the traffic jam influence degree based on the vehicle occupancy rate (step S7). Specifically, as shown in FIG. 4, the traffic jam influence degree determination unit 16 determines the traffic jam influence degree in, for example, three levels of “large”, “medium”, and “small” based on the vehicle occupation ratio between facilities. To do. When the traffic jam influence level is “large”, each vehicle cannot travel at the specified speed.

さらに、施設内満空検出部14は、施設混雑状況観測装置21から入力する観測情報に基づいて、各施設での車両状況を検出する。施設内満空判定部17は、施設内満空検出部14により検出された車両状況に基づいて、各施設の駐車場での満車または空車の状況を判定する(ステップS8)。なお、本実施形態では、各施設は、図2に示す施設201A、201B、201Cである。   Furthermore, the in-facility fullness detection unit 14 detects the vehicle status at each facility based on the observation information input from the facility congestion status observation device 21. Based on the vehicle status detected by the in-facility fullness detection unit 14, the in-facility fullness determination unit 17 determines whether the facility is full or empty (step S8). In the present embodiment, the facilities are the facilities 201A, 201B, and 201C shown in FIG.

具体的には、施設内満空判定部17は、施設の各駐車場について、図5に示すように、例えば「満車」、「混雑」、「空車」の3段階で判定する。なお、大型車両は普通車両の2.5倍程度の駐車スペースを占有すると仮定している。また、「混雑」は満車ではないが、満車に近い空き状況である。   Specifically, the in-facility fullness determination unit 17 determines each parking lot of the facility in three stages, for example, “full”, “crowded”, and “empty” as shown in FIG. It is assumed that a large vehicle occupies a parking space about 2.5 times that of a normal vehicle. “Crowded” is not full, but it is almost empty.

次に、クーポン割引率演算部18は、渋滞影響度判定部16による施設間の渋滞影響度及び施設内満空判定部17による各施設の駐車場の満空判定結果に基づいて、特典情報に含まれるクーポンの割引率(クーポン割引率)を判定する(ステップS9)。ここで、クーポンとは、各施設の店舗での商品またはサービスの購入時に価格割引を受けられる特典情報の一種である。クーポン割引率とは、その価格割引の割引率である。   Next, the coupon discount rate calculation unit 18 obtains the privilege information based on the traffic jam influence degree between the facilities by the traffic jam influence degree judgment unit 16 and the parking lot availability judgment result of each facility by the facility fullness judgment unit 17. The discount rate (coupon discount rate) of the included coupon is determined (step S9). Here, the coupon is a type of privilege information that allows a price discount when purchasing a product or service at a store of each facility. The coupon discount rate is a discount rate of the price discount.

具体的には、クーポン割引率演算部18は、図6に示すように、例えば0%、5%、10%、15%、30%の5段階で判定する。即ち、図2に示すように、車両群202Aが存在する施設間の渋滞影響度が「大」で、施設201Aの駐車場の満空判定結果が「満車」であれば、クーポン割引率演算部18はクーポン割引率を「0%」と判定する。   Specifically, as shown in FIG. 6, the coupon discount rate calculation unit 18 makes a determination in five stages, for example, 0%, 5%, 10%, 15%, and 30%. That is, as shown in FIG. 2, when the traffic jam influence degree between the facilities where the vehicle group 202A exists is “large” and the parking lot availability determination result of the facility 201A is “full”, the coupon discount rate calculation unit 18 determines that the coupon discount rate is “0%”.

図8(A)、(B)は、クーポン割引率演算部18により判定されたクーポン割引率の判定結果を含む特典情報のフォーマット例である。クーポン配信部19は、当該特典情報から施設名称と割引率(クーポン割引率)を含むクーポン情報を、インターネット23Bを経由して配信する(ステップS10)。   FIGS. 8A and 8B are format examples of privilege information including the determination result of the coupon discount rate determined by the coupon discount rate calculation unit 18. The coupon distribution unit 19 distributes coupon information including a facility name and a discount rate (coupon discount rate) from the privilege information via the Internet 23B (step S10).

RVC装置22は、インターネット23Bを経由して配信されたクーポン情報を、道路(ここではA自動車道)上を走行中の各車両の車載器の通信装置31に送信する。また、通信装置31が移動体端末(スマートフォンなど)であれば、車両30のユーザは、当該移動体端末によりインターネット23Bを経由して配信されたクーポン情報を受信できる。   The RVC device 22 transmits the coupon information distributed via the Internet 23B to the communication device 31 of the vehicle-mounted device of each vehicle traveling on the road (here, the A motorway). Moreover, if the communication apparatus 31 is a mobile terminal (smartphone etc.), the user of the vehicle 30 can receive coupon information distributed via the Internet 23B by the mobile terminal.

以上のようにして、本実施形態のシステム10は、道路上の施設間での渋滞影響度及び各施設の駐車場の空き状況(満空判定結果)に基づいて、施設毎のクーポン割引率を判定する。そして、本実施形態のシステム10は、施設名称とクーポン割引率を含むクーポン情報(特典情報)を、道路上を走行する車両30またはそのユーザに配信する。この場合、図8(B)に示すように、クーポン割引率は、施設間での渋滞影響度及び各施設の駐車場の空き状況に関連して判定される。   As described above, the system 10 according to the present embodiment calculates the coupon discount rate for each facility based on the influence degree of traffic congestion between facilities on the road and the vacant state of the parking lot of each facility (full availability determination result). judge. And system 10 of this embodiment distributes coupon information (privilege information) including a facility name and a coupon discount rate to vehicle 30 or its user who runs on a road. In this case, as shown in FIG. 8 (B), the coupon discount rate is determined in relation to the congestion influence degree between facilities and the parking lot availability of each facility.

即ち、施設間での渋滞影響度が大きく、当該施設の駐車場の空きスペースが十分である場合には、クーポン割引率を高く設定できる。このため、当該施設間の道路上を走行する車両を、当該施設内に誘導できる可能性が高くなる。即ち、施設間の渋滞を緩和できる可能性が高くなる。一方、施設間での渋滞影響度が小さく、当該施設の駐車場が満車状態の場合には、クーポン割引率を低く(例えば0%)に設定できる。このため、当該施設間の道路上を走行する車両は、そのまま走行する可能性が高くなる。即ち、施設間での渋滞影響度が小さい場合には、渋滞を緩和する必要性が低いため、クーポン割引率を最低(0%)に設定してもよい。また、当該施設の駐車場が混雑程度である場合には、クーポン割引率を中程度(5%、10%、15%)に設定できる。このため、当該施設間の道路上を走行する車両の中で、ある程度の車両を当該施設内に誘導できる可能性が高くなる。   That is, when the degree of influence of traffic congestion between facilities is large, and the vacant space in the parking lot of the facility is sufficient, the coupon discount rate can be set high. Therefore, there is a high possibility that a vehicle traveling on the road between the facilities can be guided into the facilities. That is, there is a high possibility that traffic congestion between facilities can be reduced. On the other hand, the coupon discount rate can be set to a low value (for example, 0%) when the degree of traffic jam influence between facilities is small and the parking lot of the facility is full. For this reason, a vehicle traveling on the road between the facilities is more likely to travel as it is. That is, when the influence degree of traffic jam between facilities is small, since the necessity of alleviating the traffic jam is low, the coupon discount rate may be set to the lowest (0%). Further, when the parking lot of the facility is congested, the coupon discount rate can be set to medium (5%, 10%, 15%). For this reason, there is a high possibility that a certain amount of vehicles can be guided into the facilities among the vehicles traveling on the road between the facilities.

以下、図2を参照して、本実施形態の特典情報配信方法の具体例を説明する。   Hereinafter, a specific example of the privilege information distribution method of the present embodiment will be described with reference to FIG.

本具体例は、施設間の道路上において渋滞発生箇所(または渋滞発生予測箇所)200が存在する場合である。システム10は、当該渋滞発生箇所200を含む施設間の渋滞影響度が「大」と判定する。ここで、施設201Aの駐車場が満車状態の場合には、システム10は、クーポン割引率を例えば最低の割引率CD4(0%)に設定する。システム10は、当該クーポン割引率を含むクーポン情報を、施設間車両群202Aの各車両又はそれらのユーザに配信する。このため、施設間車両群202Aの各車両が施設201Aに入ることを抑制できる。   This specific example is a case where a traffic jam occurrence location (or traffic jam occurrence prediction location) 200 exists on a road between facilities. The system 10 determines that the traffic jam influence degree between the facilities including the traffic jam occurrence point 200 is “large”. Here, when the parking lot of the facility 201A is full, the system 10 sets the coupon discount rate to, for example, the lowest discount rate CD4 (0%). The system 10 distributes coupon information including the coupon discount rate to each vehicle of the inter-facility vehicle group 202A or their users. For this reason, it can suppress that each vehicle of the inter-facility vehicle group 202A enters the facility 201A.

また、車両群202Aが存在する施設間の渋滞影響度が「中」で、施設201Aの駐車場が混雑程度であれば、クーポン割引率を例えば10%の割引率CD3に設定する。このため、施設間車両群202Aの各車両のある程度を、施設201A内に誘導できる可能性が高くなる。同様にして、車両群202Bが存在する施設間の渋滞影響度が「中」で、施設201Bの駐車場の空きスペースが十分である場合には、クーポン割引率を例えば15%の割引率CD2に設定する。このため、施設間車両群202Bの各車両を、施設201B内に誘導できる可能性が高くなる。   Also, if the traffic jam influence degree between the facilities where the vehicle group 202A exists is “medium” and the parking lot of the facility 201A is congested, the coupon discount rate is set to a discount rate CD3 of 10%, for example. For this reason, there is a high possibility that a certain degree of each vehicle in the inter-facility vehicle group 202A can be guided into the facility 201A. Similarly, when the traffic jam influence degree between the facilities in which the vehicle group 202B exists is “medium” and the vacant space in the parking lot of the facility 201B is sufficient, the coupon discount rate is set to a discount rate CD2 of 15%, for example. Set. For this reason, there is a high possibility that each vehicle in the inter-facility vehicle group 202B can be guided into the facility 201B.

さらに、車両群202Cが存在する施設間の渋滞影響度が「大」で、施設201Cの駐車場の空きスペースが十分である場合には、クーポン割引率を例えば最大の30%の割引率CD1に設定する。このため、施設間車両群202Cの各車両を施設201C内に誘導できる可能性が高くなるため、施設間の渋滞を緩和できる可能性が高くなる。   Further, when the impact on the traffic jam between the facilities where the vehicle group 202C exists is “large” and there is sufficient free space in the parking lot of the facility 201C, the coupon discount rate is set to the maximum discount rate CD1 of 30%, for example. Set. For this reason, there is a high possibility that each vehicle in the inter-facility vehicle group 202C can be guided into the facility 201C.

なお、本実施形態によれば、図2に示すように、渋滞発生箇所200を起点として、最も手前の施設201A及び施設201Bのそれぞれの駐車場の空き状況(満空判定結果)に基づいて、各施設201A、201Bに対するクーポン割引率を判定してもよい。この場合、施設201A、201B間の渋滞影響度により、各施設201A、201Bに対するクーポン割引率は変化する。即ち、施設201Aの駐車場の空きスペースが十分であれば、施設間車両群202Aの各車両を施設201A内に誘導することで、渋滞発生箇所200による渋滞の悪化させる要因を事前に緩和することができる。また、施設201Bの駐車場の空きスペースが十分であれば、施設間車両群202Bの各車両を施設201B内に誘導することで、さらに前段階で渋滞の悪化させる要因を事前に緩和することができる。   In addition, according to this embodiment, as shown in FIG. 2, starting from the traffic jam occurrence point 200, based on the vacant state (full / empty determination result) of each parking lot of the facility 201A and the facility 201B in the forefront, You may determine the coupon discount rate with respect to each facility 201A, 201B. In this case, the coupon discount rate for each of the facilities 201A and 201B varies depending on the degree of influence of the traffic jam between the facilities 201A and 201B. That is, if there is enough free space in the parking lot of the facility 201A, each vehicle of the inter-facility vehicle group 202A is guided into the facility 201A to alleviate in advance the factors that cause the congestion due to the traffic jam location 200. Can do. In addition, if there is enough free space in the parking lot of the facility 201B, each vehicle of the inter-facility vehicle group 202B can be guided into the facility 201B to further alleviate in advance the factors that worsen the congestion at the previous stage. it can.

以上要するに本実施形態によれば、施設間の道路の渋滞影響度及び各施設内における駐車場の満空状況に基づいて設定したクーポン割引率を含むクーポン情報(特典情報)をユーザに配信する。従って、各施設内における駐車場の満空状況(混雑状況)を考慮した渋滞の緩和を図ることが可能となる。換言すれば、特定の施設に対して車両の流入が集中し、施設内における駐車場や店舗の混雑(2次渋滞)を誘発させる要因を抑制することが可能である。また、道路上の渋滞発生箇所を起点とした道路上の渋滞を、各施設内における駐車場の満空状況(混雑状況)を考慮して緩和することも可能である。   In short, according to the present embodiment, coupon information (privilege information) including a coupon discount rate set based on the degree of traffic jam influence between facilities and the parking lot availability in each facility is distributed to the user. Therefore, it is possible to alleviate the traffic congestion in consideration of the full parking space (congestion) in each facility. In other words, the inflow of vehicles concentrates on a specific facility, and it is possible to suppress a factor that induces congestion (secondary congestion) of parking lots and stores in the facility. In addition, it is possible to mitigate traffic congestion on the road starting from the traffic occurrence location on the road in consideration of the full availability (congestion status) of the parking lot in each facility.

また、本実施形態のシステムにより、道路上の渋滞緩和と共に、施設内での店舗等の利用を活性化することが可能となるため、有料道路事業者の利益拡充に寄与できる利点がある。この場合、各施設でのクーポン割引率を調整することにより、施設利用客数の平準化を図ることも可能である。   In addition, the system of the present embodiment has the advantage that it can contribute to the enhancement of profits of toll road operators because the use of stores and the like in the facility can be activated together with the reduction of traffic congestion on the road. In this case, it is possible to level the number of facility users by adjusting the coupon discount rate at each facility.

なお、図2に示す例において、渋滞発生箇所(渋滞発生予測箇所)200を起点として、それより手前に存在する施設間の車両台数が最も多い施設間車両群から順に、より高いクーポン割引率を設定してもよい。また、クーポン割引率は配信時に決定されるため、特定の施設間車両群の車両台数が最も多いと判定された時に他の施設間車両群に存在していた車両が、車両台数が最も多い施設間車両群に入ったとしても、クーポン割引率は変動されない。   In the example shown in FIG. 2, a higher coupon discount rate is set in order from the inter-facility vehicle group having the largest number of vehicles between the facilities existing in front of the traffic jam occurrence location (congestion occurrence forecast location) 200 as the starting point. It may be set. In addition, since the coupon discount rate is determined at the time of distribution, the vehicle that was present in the other inter-facility vehicle group when the number of vehicles in the specific inter-facility vehicle group is determined to be the largest is the facility with the largest number of vehicles. Even if you enter the inter-vehicle group, the coupon discount rate does not change.

さらに、各車両に配信するクーポン情報は、一定回数の利用またはインターチェンジを降りることで消滅するようにしてもよい。但し、クーポン情報が適用される施設より手前のインターチェンジで降りた場合には、一定時間以内にインターチェンジから道路上に戻った際には、消滅したクーポン情報を任意の施設で利用可能としてもよい。   Further, the coupon information distributed to each vehicle may disappear by using a certain number of times or getting off the interchange. However, when it gets off at an interchange before the facility to which the coupon information is applied, the coupon information that has disappeared may be made available at any facility when returning from the interchange to the road within a certain time.

本発明のいくつかの実施形態を説明したが、これらの実施形態は、例として提示したものであり、発明の範囲を限定することは意図していない。これら新規な実施形態は、その他の様々な形態で実施されることが可能であり、発明の要旨を逸脱しない範囲で、種々の省略、置き換え、変更を行うことができる。これら実施形態やその変形は、発明の範囲や要旨に含まれるとともに、特許請求の範囲に記載された発明とその均等の範囲に含まれる。   Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

10…交通管制システム、11…渋滞検出部、12…渋滞予測部、
13…施設間車両台数検出部、14…施設内満空検出部、15…渋滞判定部、
16…渋滞影響度判定部、17…施設内満空判定部、18…クーポン割引率演算部、
19…クーポン配信部、20…道路状況観測装置、21…施設混雑状況観測装置、
22…RVC装置、23A、23B…インターネット、30…車両、
31…通信装置。
10 ... Traffic control system, 11 ... Traffic jam detection unit, 12 ... Traffic jam prediction unit,
13 ... Inter-facility vehicle number detection unit, 14 ... Facility fullness detection unit, 15 ... Congestion determination unit,
16 ... Traffic jam impact determination unit, 17 ... Facility fullness determination unit, 18 ... Coupon discount rate calculation unit,
19 ... Coupon delivery unit, 20 ... Road condition observation device, 21 ... Facility congestion situation observation device,
22 ... RVC device, 23A, 23B ... Internet, 30 ... vehicle,
31: Communication device.

Claims (8)

道路上を走行する車両との間で無線通信を行なう通信手段と、
前記道路上の特定区間の交通渋滞度を判定する渋滞判定手段と、
前記特定区間に付属する施設での混雑度を判定する施設混雑判定手段と、
前記交通渋滞度及び前記施設での混雑度の各判定結果に基づいて、前記車両のユーザが前記施設において利用可能な特典情報の内容を判定する特典情報判定手段と、
前記特典情報判定手段により判定された前記特典情報を、前記通信手段を介して前記車両に対して提供する特典情報提供手段と
を具備する交通管制システム。
A communication means for performing wireless communication with a vehicle traveling on a road;
A traffic jam judging means for judging the traffic jam degree of the specific section on the road;
Facility congestion determination means for determining the degree of congestion in the facility attached to the specific section;
Privilege information determination means for determining the content of privilege information available to the user of the vehicle based on the determination results of the traffic congestion level and the congestion level at the facility;
A traffic control system comprising: privilege information providing means for providing the privilege information determined by the privilege information determining means to the vehicle via the communication means.
前記特典情報判定手段は、
前記施設において利用可能な特典情報として商品やサービスの購入時の価格割引率を示すクーポン割引率を含み、前記交通渋滞度及び前記施設での混雑度の各判定結果に基づいて前記クーポン割引率を判定する請求項1に記載の交通管制システム。
The privilege information determination means includes
A coupon discount rate indicating a price discount rate at the time of purchase of goods or services is included as privilege information available at the facility, and the coupon discount rate is determined based on each determination result of the traffic congestion level and the congestion level at the facility. The traffic control system according to claim 1 for determination.
前記渋滞判定手段は、前記特定区間の交通渋滞度として複数段階の渋滞影響度を判定し、
前記施設混雑判定手段は、前記施設での混雑度として複数段階の駐車場の満空状態を判定し、
前記特典情報判定手段は、
前記複数段階の渋滞影響度と前記複数段階の駐車場の満空状態との組み合わせに対応付けて前記クーポン割引率を割り当てる請求項2に記載の交通管制システム。
The traffic jam judging means judges the traffic jam impact level in a plurality of stages as the traffic jam level of the specific section,
The facility congestion determination means determines a full state of the parking lot as a degree of congestion in the facility,
The privilege information determination means includes
The traffic control system according to claim 2, wherein the coupon discount rate is assigned in association with a combination of the multiple-stage traffic jam influence degree and the full-stage parking lot fullness state.
前記特典情報判定手段は、
前記複数段階の渋滞影響度と前記複数段階の駐車場の満空状態との組み合わせに基づいて、前記渋滞影響度が最大でかつ前記駐車場の満空状態が満車状態の場合には前記施設でのクーポン割引率を最低と判定し、前記渋滞影響度が最大でかつ前記駐車場の満空状態が空車状態の場合には前記施設でのクーポン割引率を最大と判定する請求項3に記載の交通管制システム。
The privilege information determination means includes
Based on the combination of the multi-stage traffic jam impact level and the multi-stage parking lot full condition, the facility has the maximum traffic jam effect level and the parking lot full condition at the facility. The coupon discount rate of the facility is determined to be the lowest, and the coupon discount rate at the facility is determined to be the maximum when the traffic jam influence level is maximum and the parking lot is empty. Traffic control system.
前記特典情報提供手段は、
前記特典情報判定手段により割り当てられた前記クーポン割引率を含む前記特典情報を、前記特定区間を含む道路上を走行する車両に対して前記通信手段を介して配信する請求項2から請求項4のいずれか1項に記載の交通管制システム。
The privilege information providing means is:
5. The privilege information including the coupon discount rate assigned by the privilege information determination means is distributed to the vehicle traveling on the road including the specific section via the communication means. The traffic control system according to any one of the above.
前記渋滞判定手段は、
前記道路上の渋滞発生箇所を起点として複数の特定区間を設定し、当該各特定区間の交通渋滞度を判定する請求項1から請求項5のいずれか1項に記載の交通管制システム。
The traffic jam judging means
The traffic control system according to any one of claims 1 to 5, wherein a plurality of specific sections are set with a traffic congestion occurrence point on the road as a starting point, and a traffic congestion degree of each specific section is determined.
前記特定区間は、第1の施設と第2の施設が付属する施設間区間である請求項1から請求項6のいずれか1項に記載の交通管制システム。   The traffic control system according to any one of claims 1 to 6, wherein the specific section is an inter-facility section to which the first facility and the second facility are attached. 道路上を走行する車両との間で無線通信を行なう通信手段により情報を交換する交通管制システムに適用する特典情報提供方法であって、
前記道路上の特定区間の交通渋滞度を判定し、
前記特定区間に付属する施設での混雑度を判定し、
前記交通渋滞度及び前記施設での混雑度の各判定結果に基づいて、前記車両のユーザが前記施設において利用可能な特典情報の内容を判定し、
前記通信手段により前記車両に対して前記特典情報を提供する特典情報提供方法。
A privilege information providing method applied to a traffic control system for exchanging information by means of wireless communication with a vehicle traveling on a road,
Determine the traffic congestion degree of a specific section on the road,
Determine the degree of congestion at the facility attached to the specific section,
Based on the determination results of the traffic congestion level and the congestion level at the facility, the vehicle user determines the content of privilege information available at the facility,
A privilege information providing method for providing the privilege information to the vehicle by the communication means.
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