Predictive multimodal land transportation supervision

• US 10,460,607 B2
• Filed: 02/13/2017
• Issued: 10/29/2019
• Est. Priority Date: 02/12/2016
• Status: Active Grant

• Current Assignee: Alstom Transport Technologies
• Original Assignee: Alstom Transport Technologies
• Inventors: Poisson, Pascal, Abid, Manel
• Primary Examiner(s): Mott, Genna M
• Application Number:
  US15/430,736
• Publication Number:
  US 20170236424A1
• Time in Patent Office: 988 Days
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/0968 Systems involving transmission of navigation instructions to the vehicle
• CPC Class Codes: G08G 1/127 to a central station ; Indicators in a central station
• CPC Class Codes: G08G 1/20 Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
• CPC Class Codes: G08G 7/00 Traffic control systems for simultaneous control of two or more different kinds of craft

Abstract

This infrastructure is characterized in that the multimodal network grouping together a plurality of monomodal networks, each monomodal network being equipped with an individual operating system, the supervision infrastructure includes a plurality of local supervision modules, each local supervision module being associated with a transfer station providing an interconnection between at least two of the monomodal networks and being able to perform a real-time synthesis of the traffic at the associated transfer station and continuously execute a plurality of operating rules by using operating data from the traffic synthesis so as to generate at least one setpoint, and to send the setpoint to at least one operating system of one monomodal network from among the monomodal networks interconnected to the associated transfer station.

Claims

1. A supervision infrastructure for a multimodal land transportation network that groups together a plurality of monomodal land transportation networks, wherein each monomodal land transportation network is equipped with an individual operating system, the supervision infrastructure comprising:

a plurality of local supervision modules, each local supervision module being associated with a transfer station providing an interconnection between at least two of the monomodal land transportation networks, and wherein each local supervision module is configured to;

perform a real-time traffic synthesis of traffic at the associated transfer station,

execute continuously a plurality of operating rules by using operating data from the real-time traffic synthesis to generate at least one setpoint, and

send the at least one setpoint to at least one operating system of at least one monomodal land transportation network from among the monomodal land transportation networks interconnected to the associated transfer station, and

a global supervision module configured to send, to each of said local supervision modules, the plurality of operating rules that the local supervision module must execute, wherein the plurality of operating rules sent to one local supervision module differs from the plurality of operating rules sent to another local supervision module.

2. The supervision infrastructure according to claim 1, wherein said global supervision module determines the plurality of operating rules based on an operating profile of the multimodal land transportation network, the operating profile corresponding to an implementation of an operating priority of the multimodal land transportation network.

3. The supervision infrastructure according to claim 2, wherein the operating priority is chosen from among:

a priority given to a travel time of users through the multimodal land transportation network;

a priority given to a flow of passengers through the multimodal land transportation network;

a priority given to an energy consumption of vehicles circulating on the multimodal land transportation network; and

other priorities developed by an operator of the multimodal land transportation network.

4. The supervision infrastructure according to claim 1, wherein said global supervision module operates in a mode selected from among a nominal operating mode, an overload operating mode, to avoid an occurrence of an overload at a point of the multimodal land transportation network, and a downgraded operating mode, to account for a failure on the multimodal land transportation network.

5. The supervision infrastructure according to claim 1, further comprising:

an operational data management module configured to aggregate information;

to determine a current state of traffic on the multimodal land transportation network and;

to compare the current state with a preceding state to identify a characteristic event that indicates an occurrence of an overload on the multimodal land transportation network,

wherein said global supervision module is configured to deploy, based on the characteristic event identified, on the different local supervision modules, operating rules comprising countermeasures making it possible to cancel the overload.

6. The supervision infrastructure according to claim 1, further comprising:

a scenario database associating a failure on the multimodal land transportation network with a plurality of operating scenarios of the multimodal land transportation network, and associating each operating scenario with a set of operating rules; and

a crisis management module configured to determine, when a particular failure occurs, an expected impact of each operating scenario of the plurality of operating scenarios associated with the particular failure on the state of traffic on the multimodal land transportation network, so as to help an operator choose the best operating scenario from the plurality of operating scenarios associated with the particular failure,

wherein said global supervision module is configured to send the operating rules associated with the best operating scenario to each of said local supervision modules.

7. The supervision infrastructure according to claim 1, wherein an operating rule comprises keeping a second vehicle in a station as long as a first vehicle has not arrived at the station, as long as a retention time of the second vehicle does not exceed a predetermined margin.

8. The supervision infrastructure according to claim 1, wherein an operating rule comprises acting on a travel time of a vehicle between two stations and/or an assignment of one or several vehicles in order to maximize capacity of the multimodal network.