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1. 发明授权

US09482542B2 Stochastic route planning in public transport 有权
标题翻译：公共交通工具随机路线规划
公开(公告)号：US09482542B2
公开(公告)日：2016-11-01
申请号：US14223354
申请日：2014-03-24
申请人： International Business Machines Corporation
发明人： Kristóf Bérczi , Alpár Jüttner , Mátyás Korom , Marco Laumanns , Tim Nonner , Jácint Szabó
IPC分类号： G01C21/34
CPC分类号： G01C21/343
摘要： Embodiments relate to generating a route plan. A method of generating a route plan is provided. The method receives a route planning request that includes a starting location, a destination location, a desired arrival time, and a set of user preferences. The method obtains transport service information that includes schedules of a plurality of transport services provided for a geographic region including the starting location and the destination location. The method determines a set of transport services for each of a plurality of possible intermediate locations between the starting and destination locations. The sets of transportation services provide a maximum probability of arriving at the destination location before the desired arrival time as long as a user takes a first-arriving transportation among the set of transport services at each intermediate location while traveling from the starting location to the destination location.
摘要翻译：实施例涉及生成路线规划。提供了生成路线图的方法。该方法接收包括起始位置，目的地位置，期望到达时间和一组用户偏好的路线规划请求。该方法获得包括为包括起始位置和目的地位置的地理区域提供的多个传输服务的调度的传输服务信息。该方法为起始位置和目的地位置之间的多个可能的中间位置中的每一个确定一组传输服务。只要用户在从起始位置到目的地的各个中间位置的每个中间位置的一组运输服务中进行首次到达的运输，那么这些运输服务集合在到达所需的到达时间之前提供到达目的地位置的最大概率位置。

2. 发明申请

US20150268052A1 STOCHASTIC ROUTE PLANNING IN PUBLIC TRANSPORT 有权
标题翻译：公共交通方面的STOCHASTIC ROUTE PLANNING
公开(公告)号：US20150268052A1
公开(公告)日：2015-09-24
申请号：US14223354
申请日：2014-03-24
申请人： International Business Machines Corporation
发明人： Kristóf Bérczi , Alpár Jûttner , Mátyás Korom , Marco Laumanns , Tim Nonner , Jácint Szabó
IPC分类号： G01C21/34
CPC分类号： G01C21/343
摘要： Embodiments relate to generating a route plan. A method of generating a route plan is provided. The method receives a route planning request that includes a starting location, a destination location, a desired arrival time, and a set of user preferences. The method obtains transport service information that includes schedules of a plurality of transport services provided for a geographic region including the starting location and the destination location. The method determines a set of transport services for each of a plurality of possible intermediate locations between the starting and destination locations. The sets of transportation services provide a maximum probability of arriving at the destination location before the desired arrival time as long as a user takes a first-arriving transportation among the set of transport services at each intermediate location while traveling from the starting location to the destination location.
摘要翻译：实施例涉及生成路线规划。提供了生成路线图的方法。该方法接收包括起始位置，目的地位置，期望到达时间和一组用户偏好的路线规划请求。该方法获得包括为包括起始位置和目的地位置的地理区域提供的多个传输服务的调度的传输服务信息。该方法为起始位置和目的地位置之间的多个可能的中间位置中的每一个确定一组传输服务。只要用户在从起始位置到目的地的各个中间位置的每个中间位置的一组运输服务中进行首次到达的运输，那么这些运输服务集合在到达所需的到达时间之前提供到达目的地位置的最大概率位置。

3. 发明授权

US11507890B2 Ensemble model policy generation for prediction systems 有权
公开(公告)号：US11507890B2
公开(公告)日：2022-11-22
申请号：US15278479
申请日：2016-09-28
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Eric Bouillet , Bei Chen , Randall L. Cogill , Thanh L. Hoang , Marco Laumanns , William K. Lynch , Rahul Nair , Pascal Pompey , John Sheehan
IPC分类号： G06N20/20 , G06N20/00 , G06N5/00
摘要： Embodiments for ensemble policy generation for prediction systems by a processor. Policies are generated and/or derived for a set of ensemble models to predict a plurality of target variables for streaming data such that the plurality of policies enables dynamic adjustment of the prediction system. One or more of the policies are updated according to one or more error states of the set of ensemble models.

4. 发明授权

US09659253B1 Solving an optimization model using automatically generated formulations in a parallel and collaborative method 有权
公开(公告)号：US09659253B1
公开(公告)日：2017-05-23
申请号：US15015562
申请日：2016-02-04
申请人： International Business Machines Corporation
发明人： Bissan Ghaddar , Marco Laumanns , Chungmok Lee , Martin Mevissen , Nicole Taheri , Susara Van Den Heever , Rudi Verago
IPC分类号： G06N3/12 , G06N5/04
CPC分类号： G06F17/11 , G06F9/46 , G06N3/12 , G06N5/003
摘要： A method, apparatus and computer program product for solving an optimization model by automatically creating alternative formulations, and solving those with parallel solution approaches communicating with each other. The method: automatically generates alternative formulations for a given optimization model; executes parallel communicating solution approaches in a parallel computing infrastructure in order to solve a given set of alternative model formulations; utilizes a mechanism to automatically detect the model structure and a mechanism to automatically detect the appropriate solution approach(es) for a given model structure, and to launch multiple parallel solution approaches at existing optimization solvers. The system and methods enable communication between parallel solution approaches in order to improve performance. The system communicates information between the parallel solution approaches during a solve process, in order to improve performance. The communicated information includes information on upper and lower bounds of running algorithms and information on decision variables values for feasible intermediate solutions.

5. 发明授权

US11276011B2 Self-managed adaptable models for prediction systems 有权
公开(公告)号：US11276011B2
公开(公告)日：2022-03-15
申请号：US15483016
申请日：2017-04-10
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Eric P. Bouillet , Bei Chen , Randall L. Cogill , Thanh L. Hoang , Marco Laumanns , William K. Lynch , Rahul Nair , Pascal Pompey , John Sheehan
IPC分类号： G06N20/00 , H04L67/12 , H04L67/10 , G06N5/02
摘要： Embodiments for self-managed adaptable models for prediction systems by one or more processors. One or more adaptive models may be applied to data streams from a plurality of data sources according to one or more data recipes such that the one or more adaptive models predict a plurality of target variables.

6. 发明授权

US10769193B2 Predictive model clustering 有权
公开(公告)号：US10769193B2
公开(公告)日：2020-09-08
申请号：US15628160
申请日：2017-06-20
申请人： International Business Machines Corporation
发明人： Eric Bouillet , Bei Chen , Randall L. Cogill , Thanh L. Hoang , Marco Laumanns , Karol W. Lynch , Rahul Nair , Pascal Pompey , John Sheehan
IPC分类号： G06F16/00 , G06F16/35 , G06K9/62 , G06F16/28
摘要： Performing data clustering in a model property vector space. Input data is received comprising a plurality of data instances in a data vector space. A model property vector specification is defined for a model vector. Information is identified from the input data, and a model property vector is created in the model property vector space for each of the plurality of data instances. A target number of clusters is identified and used to perform a data clustering procedure. An output is generated comprising a plurality of data segments and one or more clustering rules. For each data cluster, a predictive model is constructed for each data segment of the plurality of data segments.

7. 发明授权

US10168172B2 Network map reconstruction from message data 有权
公开(公告)号：US10168172B2
公开(公告)日：2019-01-01
申请号：US15334795
申请日：2016-10-26
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Eric P. Bouillet , Bei Chen , Randall L. Cogill , Thanh L. Hoang , Marco Laumanns , Rahul Nair , Tim Nonner , Pascal Pompey , John Sheehan , Jacint Szabo
IPC分类号： G01C21/34 , G01C21/36 , B61L25/02 , B61L27/00
摘要： Embodiments for network reconstruction from message data by a processor. A digital map may be created using one or more messages of a plurality of vehicles obtained at a plurality of control points of a route network. The digital map may be analyzed to estimate a feasibility of simultaneous trajectories of the plurality of vehicles between selected locations in the route network.

8. 发明申请

US20180365249A1 PREDICTIVE MODEL CLUSTERING 审中-公开
公开(公告)号：US20180365249A1
公开(公告)日：2018-12-20
申请号：US15628160
申请日：2017-06-20
申请人： International Business Machines Corporation
发明人： Eric Bouillet , Bei Chen , Randall L. Cogill , Thanh L. Hoang , Marco Laumanns , Karol W. Lynch , Rahul Nair , Pascal Pompey , John Sheehan
IPC分类号： G06F17/30 , G06K9/62
摘要： Performing data clustering in a model property vector space. Input data is received comprising a plurality of data instances in a data vector space. A model property vector specification is defined for a model vector. Information is identified from the input data, and a model property vector is created in the model property vector space for each of the plurality of data instances. A target number of clusters is identified and used to perform a data clustering procedure. An output is generated comprising a plurality of data segments and one or more clustering rules. For each data cluster, a predictive model is constructed for each data segment of the plurality of data segments.

9. 发明申请

US20140149321A1 ELECTRONIC REVENUE MANAGMENT FOR TRANSPORTATION NETWORKS 审中-公开
标题翻译：电子收费管理运输网络
公开(公告)号：US20140149321A1
公开(公告)日：2014-05-29
申请号：US14023010
申请日：2013-09-10
申请人： International Business Machines Corporation
发明人： Marco Laumanns , Olivier Gallay , Jácint Szabó , Ban Hashem Khalil Kawas , Stefan Wörner , Jürgen Koehl
IPC分类号： G06Q30/02 , G06Q50/30
CPC分类号： G06Q30/0283 , G06Q10/047 , G06Q30/0284 , G06Q50/30
摘要： A system and method is provided for revenue management in multi-modal transportation networks. A corridor is constructed for each origin-destination pair of a transportation network based on one or more parameters. Monotonicity constraints and triangle constraints are generated for each origin-destination pair. An objective function is constructed and convexified using point-price elasticity for consistent price optimization. The one or more parameters and coefficients for a mathematical optimization program are then computed and the mathematical optimization problem is solved for a consistent optimal pricing scheme.
摘要翻译：为多式联运网络的收入管理提供了一种系统和方法。基于一个或多个参数为运输网络的每个起始 - 目的地对构建走廊。为每个起始 - 目的地对生成单调性约束和三角形约束。使用点价格弹性构建和凸起目标函数，以实现一致的价格优化。然后计算一个或多个数学优化程序的参数和系数，并为一致的最优定价方案解决数学优化问题。

10. 发明申请

US20140149320A1 CONSISTENT PRICE OPTIMIZATION IN TRANSPORTATION NETWORKS 审中-公开
标题翻译：运输网络中的一致价格优化
公开(公告)号：US20140149320A1
公开(公告)日：2014-05-29
申请号：US13688254
申请日：2012-11-29
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Marco Laumanns , Olivier Gallay , Jácint Szabó , Ban Hashem Khalil Kawas , Stefan Wörner , Jürgen Koehl
IPC分类号： G06Q30/02 , G06Q50/30
CPC分类号： G06Q30/0283 , G06Q10/047 , G06Q30/0284 , G06Q50/30
摘要： A system and method is provided for consistent price optimization in multi-modal transportation networks. A corridor is constructed for each origin-destination pair of a transportation network based on one or more parameters. Monotonicity constraints and triangle constraints are generated for each origin-destination pair. An objective function is constructed and convexified using point-price elasticity for consistent price optimization. The one or more parameters and coefficients for a mathematical optimization program are then computed and the mathematical optimization problem is solved for a consistent optimal pricing scheme.
摘要翻译：提供了一种用于多模态交通网络中一致的价格优化的系统和方法。基于一个或多个参数为运输网络的每个起始 - 目的地对构建走廊。为每个起始 - 目的地对生成单调性约束和三角形约束。使用点价格弹性构建和凸起目标函数，以实现一致的价格优化。然后计算一个或多个数学优化程序的参数和系数，并为一致的最优定价方案解决数学优化问题。

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