JP-7856057-B2 - Control device and control method
Inventors
- 赤羽 真
- 長田 祐
- 眞屋 朋和
- 冨谷 正明
- 峰田 裕子
- 津本 佳世
- 丹羽 新一
- 駒嶺 聡史
Assignees
- トヨタ自動車株式会社
Dates
- Publication Date
- 20260511
- Application Date
- 20230615
Claims (5)
- Obtain information on the crowd levels at at least two locations where the event will be held. Based on the acquired information regarding the degree of congestion, a transportation route is determined for the mobility device traveling between the at least two locations to transport passengers. A control device comprising a control unit for moving the mobility along the determined transport route .
- The control device according to claim 1, wherein the control unit obtains information regarding the congestion level by observing the current congestion level of the at least two locations.
- The control unit, Obtain information regarding the aforementioned event, The control device according to claim 1, which obtains information on the degree of congestion by predicting the future degree of congestion of the at least two locations based on the information on the event obtained.
- The control device according to claim 1, wherein the control unit determines a transport route that transports more passengers to the less congested location among the at least two locations.
- The control unit acquires information regarding the level of congestion at at least two locations where the event will be held. Based on the acquired information regarding the degree of congestion, the control unit determines the transportation route by which the mobility device traveling between the at least two locations transports passengers . To move the aforementioned mobility along the determined transport route and A control method including
Description
This disclosure relates to a control device and a control method. Patent Document 1 discloses selecting a tourist route from among several tourist routes in which the direction of travel through multiple tourist destinations coincides with the direction of vehicle movement, overlaps with at least a portion of the planned travel route, and has the longest overlapping section. Japanese Patent Publication No. 2021-089161 This figure shows the configuration of the mobility control system according to the embodiment of this disclosure.This is a block diagram showing the configuration of a control device according to an embodiment of the present disclosure.This is a flowchart showing the operation of the control device according to the embodiment of this disclosure. An embodiment of this disclosure will be described below with reference to the figures. In each figure, identical or corresponding parts are denoted by the same reference numerals. In the description of this embodiment, the description of identical or corresponding parts will be omitted or simplified as appropriate. Referring to Figure 1, the configuration of the mobility control system 10 according to this embodiment will be described. The mobility control system 10 comprises a control device 20 and a mobility device 30. The control device 20 can communicate with the mobility device 30 via a network 40. The control device 20 is a computer installed in a facility such as a data center. The control device 20 is, for example, a server belonging to a cloud computing system or other computing system. The control device 20 is operated, for example, by an event management company. Mobility 30 is any type of vehicle, such as a gasoline car, diesel car, hydrogen car, HEV, PHEV, BEV, or FCEV. "HEV" is an abbreviation for hybrid electric vehicle. "PHEV" is an abbreviation for plug-in hybrid electric vehicle. "BEV" is an abbreviation for battery electric vehicle. "FCEV" is an abbreviation for fuel cell electric vehicle. In this embodiment, Mobility 30 is an AV, but it may be driven by a driver or its operation may be automated to any level. "AV" is an abbreviation for autonomous vehicle. The level of automation is, for example, one of levels 1 to 5 in the SAE classification. "SAE" is an abbreviation for Society of Automotive Engineers. Mobility 30 may also be a MaaS-dedicated vehicle. "MaaS" is an abbreviation for Mobility as a Service. Network 40 includes the Internet, at least one WAN, at least one MAN, or any combination thereof. "WAN" is an abbreviation for wide area network. "MAN" is an abbreviation for metropolitan area network. Network 40 may also include at least one wireless network, at least one optical network, or any combination thereof. A wireless network is, for example, an ad hoc network, a cellular network, a wireless LAN, a satellite communication network, or a terrestrial microwave network. "LAN" is an abbreviation for local area network. The outline of this embodiment will be described with reference to Figures 1 and 2. The control device 20 acquires second information 60 regarding the congestion level of at least two locations where an event such as an exhibition, trade fair, food event, or product fair is held, via the control unit 21. In this embodiment, the second information 60 is information regarding the congestion level of each booth within the area 11 where the event is held. That is, each of the "at least two locations" corresponds to a booth. Area 11 is, for example, an event venue such as an arena. The mobility device 30 moves between at least two booths within area 11. The mobility device 30 may also circle a route that includes three or more booths within area 11. Based on the acquired second information 60, the control device 20 determines the transportation route for the mobility device 30 to transport passengers via the control unit 21. According to this embodiment, the passenger transport route within area 11 can be adjusted according to the congestion level of area 11. For example, congestion can be alleviated by preventing excessive concentration of users in specific booths. In this embodiment, the control device 20 acquires first information 50 regarding the event via the control unit 21. Based on the acquired first information 50, the control device 20 acquires second information 60 by predicting the future congestion level of each booth within area 11. In this embodiment, the first information 50 includes various information such as the event location 51, event time 52, number of participants 53, or content 54. It is desirable that the first information 50 includes not only past and present information but also future information. That is, it is desirable that the control device 20 predicts the future congestion level of each booth within area 11 based on such future information. Past information includes, for example, the congestion level when similar events to those planned for each booth were held in the past, such as