International Business Machines Corporation

Globalfoundries U.S. 2 LLC

Tomtom Global Assets B.v.

Laura Wynter

Sebastien Blandin

Zhen Liu

Wanli Min

Parijat Dube

Ioannis Kamarianakis

Dimitrios Pendarakis

Jeremy Silber

Karthik Subbian

Shiau Hong Lim

Li Feng Zhang

Joel Leonard Wolf

Kirsten Weale Hildrum

James R H Challenger

Richard Pervin King

Deepak Rajan

Ramakrishnan Kannan

Nikhil Bansal

David Tao

Lisa Karen Fleischer

Oktay Gunluk

Yasuo Amemiya

Yeow Khiang Chia

Lin Sun

Aaron J Quirk

Jonathan R M Hosking

Giuseppe A Paleologo

Benjamin G Morris

Saif Eddin Jabari

Deepak Srinivas Turaga

Wei Shen

Catherine Helen Crawford

Sugato Bagchi

Karthik Nandakumar

Rajaraman Hariharan

Mary Elizabeth Helander

Qing He

Daniel Patrick Connors

Roger Douglas Lederman

Ching-Hua Chen-Ritzo

Amol N Ghoting

Xiang Fei

So Yeon Chun

Lucie Suzanne Marie Catherine Desfontaines

Hasan Poonawala

Clarence L Wardell, Iii

Baoyang Song

Sricharan Puligundla

Klayut Jintanakul

Jeremy L Silber

A method (and system, apparatus, and computer product) for reporting traffic data includes, in an onboard unit installed in a vehicle, generating a traffic data report packet including information identifying a location of the vehicle in a traffic network and storing the generated traffic data report packet in a transmission queue. The onboard unit stores and maintains the generated traffic data report packet in the transmission queue with other traffic data report packets in a sequence in accordance with potential transmission times associated with each traffic data report packet. At least a portion of the traffic data report packets stored in the transmission queue is selectively transmitted, as a batch transmission to a traffic center server via a communication link.

Accurate mobile traffic information acquisition with minimal transmission cost and optional V2V extension

A method for service level management of a transit system is provided. The method may include receiving time series data sets from wireless access points of a wireless network, wherein each time series data set corresponds to a mobile device in the transit system. Spatio-temporal trajectories of each mobile device may be determined based on the time series data sets corresponding to each mobile device. The determined trajectories of a group of individual devices may be clustered. A spatio-temporal trajectory of a vehicle in the transit system may be determined based on the clustered trajectory of the group of devices. A system parameter of the transit system may be adjusted based on the determined trajectory of the vehicle. Passenger transition rates, waiting times, unable-to-board levels, and crowd density levels may be determined with respect to a transit location. A machine learning model may be generated to augment the determinations.

Real-time service level monitor

A computer system includes one or more processors; and one or more non-transitory memories including computer program code, the one or more memories and the computer program code being configured to, with the one or more processors, cause the computer system to perform operations comprising: providing a first set of data records and a second set of data records in which each data record potentially relates to information associated with at least one transitional object; identifying a set of labelings in which at least one label refers to at least one data record; assigning a likelihood score that an identified label corresponds to a data record that is referred to; determining an identity of the at least one transitional object based on the assigned likelihood score; and outputting the determined identity.

System and method for multi-dimensional entity resolution of moving objects

A method is provided for determining a number of current customers in a queue for a first event; estimating a current wait time of the queue for a new customer based at least on the number of current customers in the queue; predicting a future wait time of the queue for the new customer, if the new customer entered the queue after completing at least one second event prior to entering the queue of the first event, wherein estimating the future wait time is based at least on a probability of one or more future customers performing the at least one second event prior to entering the queue; determining an incentive for the new customer to complete the at least one second event prior to entering the queue based at least on the current wait time and the future wait time; and sending the incentive to the customer.

Method and system for determining optimal incentives for customers to reduce queueing wait time with wait-time-dependent incentive choice probabilities

Methods and systems may provide for joining an overlay network of a plurality of peer devices and identifying a local preference for an area service available to the plurality of peer devices. Additionally, the local preference may be used to negotiate a common preference for the area service with the plurality of peer devices. In one example, the common preference is a best fit value for the plurality of peer devices on the overlay network.

Peer negotiation of area service preferences

A route-quality learning method, system, and computer program product include collecting a first route for a trip recommended from a first third-party application, collecting a second route for the trip recommended from a second third-party application, and after the trip is completed, estimating best alternatives given completion data of the trip and using the first third-party application and the second third-party application recommendation.

Cognitive route quality-learning service

A method for providing a forecast includes providing a multi-dimensional database storing data at a lowest level in a first dimension, calculating a first forecast at a level that is higher than the lowest level of a first dimension in the database, calculating a forecast for each category within the lowest level of the first dimension, aggregating a second forecast across a category at the lowest level of the first dimension based upon an aggregation of the calculated forecast for the category within the lowest level of the first dimension, determining a difference between the first forecast and the second forecast, creating a dummy category including a new category at the lowest level of the first dimension, and storing the difference in the dummy category at the lowest level of the first dimension.

Method and system for forecasting using an online analytical processing database

Disclosed are systems, methods, and computer program products that provide a user with alternative options to incident induced traffic by presenting the user with an alternate route to perform other tasks on a task list when travel is delayed by the incident. The method includes receiving a current location, a navigation route, an expected delay due to an incident, and a list of tasks from the user. Each task in the list may include a value and expected duration. The method further includes computing an incentive for each task in the list based on the received information and a probability that the user will re-route to stop at a facility for fulfilling the task, comparing the incentive and probability to determine which task has a minimal incentive and a greater probability that the user will re-route than not re-route to the facility, and presenting the minimal incentive to the user.

Personalized incentives leveraging incident-aware routing

A system, includes at least one traffic server to receive traffic information reports transmitted from vehicles located on a traffic network serviced by said at least one traffic server, said traffic network being segmented into a plurality of predefined links, each predefined link associated with a priority level, a reporting latency, and an identification code.

Techniques for provision of on-demand utility services utilizing a yield management framework are disclosed. For example, in one illustrative aspect of the invention, a system for managing one or more computing resources associated with a computing center comprises: (i) a resource management subsystem for managing the one or more computing resources associated with the computing center, wherein the computing center is able to provide one or more computing services in response to one or more customer demands; and (ii) a yield management subsystem coupled to the resource management subsystem, wherein the yield management subsystem optimizes provision of the one or more computing services in accordance with the resource management subsystem and the one or more computing resources.

On-demand utility services utilizing yield management

A method for adjusting control parameters of a traffic management system in a presence of one or more incidents on a network includes junctions in a tree format, and at a lowest level of a tree comprise a group of associated junctions using coordinated timing, wherein each junction is associated with a weight as a function of its height within its tree, and wherein a junction with a highest weight in each tree comprises a lead junction for receiving timing information for its group of associated junctions.

Method and system for optimizing road traffic control in the presence of incidents

In an approach for audio based event analytics, a processor receives a recording of audio from an event. A processor collects information about the event and a list of participants. A processor segments the recording into, at least, a plurality of utterances. A processor analyzes the segmented recording. A processor summarizes the recording based on the segmentation and the analysis. A processor generates insights about interactions patterns of the event based on the segmentation and the analysis.

Audio-based event interaction analytics

Search results are received that were generated by a search engine in response to a search query entered by a user. The search results include a first result which contains a first set of identifying data. The first result is matched with a first profile on a first social network which is merged with a second social network. The first profile contains a second set of identifying data which satisfies matching criteria for similarity with the first set of identifying data.

Cross-channel social search

A routing plan for elevator passengers can be developed by a computer system, when there are a plurality of elevator users requesting service from a plurality of elevators. The routing plan can be based on user input that specifies a destination and a current location. Profile data for each user can also be used to develop the routing plan. The input and profile data is correlated with a shared resource in each elevator, and the routing plan is developed from the correlated data. The plan is then communicated to the users.

Personalized elevator dispatch

Growing community of inventors

Chappaqua, NY, United States of America

Laura Wynter