Conduent Business Services, LLC

Theja Tulabandhula

Koyel Mukherjee

Narayanan Unny Edakunni

Asmita Metrewar

Vivek Tyagi

Bhupendra Singh Solanki

Arun Rajkumar

Narendra Annamaneni

Prabuchandran Krithivasan Jayachandran

Tuhin Bhattacharya

Koushik Chattopadhyay

Asim Anand

Tejas Prakash Bodas

Deeksha Sinha

Niranjan Aniruddha Viladkar

A method for automated booking of an on-demand service in a multimodal journey includes receiving information related to a multimodal trip plan for a commuter trip. The multimodal trip plan includes a plurality of segments, and the plurality of segments include an on-demand service segment that requires an on-demand service vehicle as the mode of transport. The method also includes receiving real-time information relating to a location of the commuter from one or more location tracking sensors, determining an estimated time of arrival of the commuter at a transfer point for transfer to the on-demand service segment by analyzing the real-time information, identifying a time of availability of an on-demand service vehicle at the transfer point (as a function of a time of booking), and determining an optimal time of booking of the on-demand service vehicle based on the estimated time of arrival and the time of availability.

System and method for optimal automated booking of on-demand transportation in multi-modal journeys

The disclosed embodiments illustrate methods and systems for managing allocation of transportation services. The method includes receiving real-time vehicle data of vehicles of a plurality of service types from sensors associated with the vehicles. The method further includes detecting an availability status of each of the vehicles based on at least the received real-time vehicle data and a service request for a vehicle of a preferred service type for travel by a customer, to determine available service types. The method further includes rendering, in response to the service request, at least the available service types that comprises at least a flexible service type, at a user interface of a customer-computing device. The method further includes allocating the transportation services of the service provider to the customer based on a selection of a service type from the rendered plurality of available service types by the customer.

Method and system for managing allocation of transportation services

The disclosed embodiments illustrate a method and a system for controlling KPI parameters of a transportation system. The method includes extracting historical commuting characteristics of one or more commuters, from a database server over a communication network. The method further includes generating a predictive model based on the extracted historical commuting characteristics. The method further includes generating a service schedule of one or more transportation services of the transportation system. The service schedule of the one or more transportation services may be generated by use of the generated predictive model, based on defined criteria of the transportation system. The method further includes controlling a KPI parameter of the transportation system to attain a desired KPI parameter of the KPI parameter, based on the generated service schedule, when the one or more transportation services are deployed at one or more time stamps.

Method and system for controlling key performance indicator parameters of a transportation system

The disclosed embodiments illustrate a method for real time management of transportation services. The method includes determining a discrete control process with respect to a plurality of states of a vehicle. Each state in the plurality of states corresponds to a station and a count of vacant seats in the vehicle at the station. A set of rules is generated to maximize a key performance parameter of the vehicle, based on at least the determined discrete control process. A valuation parameter is determined, in real time, for one or more vacant seats in the vehicle at each of one or more subsequent stations based on the generated set of rules. The determined valuation parameter for the one or more vacant seats corresponding to each of the one or more subsequent stations is transmitted to a plurality of mobile computing devices associated with a plurality of commuters.

Method and system for real time management of transportation services

The disclosed embodiments illustrate method for displaying targeted multimedia items to a ridesharing group. The method includes transmitting a plurality of multimedia items to a computing device installed in a vehicle. The method further includes receiving at least one feedback provided by a plurality of users on each of the transmitted plurality of multimedia items. The method includes determining an effectiveness score for each of the transmitted plurality of multimedia items based on the corresponding at least one feedback provided by the plurality of users. The method includes selecting a plurality of targeted multimedia items from the plurality of multimedia items in real-time based on the determined effectiveness score and a pre-specified constraint. The method includes transmitting the selected plurality of targeted multimedia items in a prioritized order to the computing device. The transmitted plurality of targeted multimedia items is displayed to the plurality of users traveling in the vehicle.

Method and system for displaying targeted multimedia items to a ridesharing group

A system for dispatching vehicles in a public transportation network may include a passenger monitoring system configured to monitor a number of passengers waiting at a stop in the transportation network, a vehicle dispatching system and a processing device. The processing device may apply a Markov Decision Process (MDP) model to determine a score for each of multiple decision rules, in which each score represents a number of passengers waiting at the stop at the end of a time interval, and use the scores to identify a number of waiting passengers at which a reserve vehicle should be dispatched. The system may use information received from the passenger monitoring system to determine a state at an instant of time, and determine whether a reserve vehicle should be dispatched based on the MDP model and cause the vehicle dispatch system to dispatch a reserve vehicle or retain a nominal vehicle.

Method and system for dispatching of vehicles in a public transportation network

Embodiments disclose methods and systems for forming one or more ride-sharing groups of a ride-sharing system before executing a ride. The system receives a request for a ride from each user, each request includes details related to the ride and the user. Then, a compatibility score for each pair of users is computed. Based on the computed score, a ride-sharing group is created including one or more members estimated to be compatible with each other. The ride-sharing group is displayed to each member of the ride-sharing group along with pre-defined details of each member. Then a feedback about the ride-sharing group from each group member is received, the feedback being in the form of an acceptance or a rejection. Based on the feedback, the ride-sharing group is updated to include one or more new members or allocate one or more resources to the ride-sharing group.

Methods and systems for automatically creating and suggesting compatible ride-sharing groups

What is disclosed is a system and method for modelling a class posterior probability of context dependent phonemes in a speech recognition system. A representation network is trained by projecting a N-dimensional feature vector into G intermediate layers of nodes. At least some features are associated with a class label vector. A last intermediate layer Zof the representation network is discretized to obtain a discretized layer {circumflex over (Z)}. Feature vector Q is obtained by randomly selecting V features from discretized layer {circumflex over (Z)}. Q is repeatedly hashed to obtain a vector Qwhere Qis an output of the fhashing. An equivalent scalar representation is determined for each Q. In a manner more fully disclosed herein, a posterior probability Pis determined for each (x, b) pair based on the equivalent scalar representation of each respective Q. The obtained posterior probabilities are used to improve classification accuracy in a speech recognition system.

Modeling a class posterior probability of context dependent phonemes in a speech recognition system

The disclosed embodiments illustrate method and system for managing a dispatch of vehicles based on generation of a dispatch schedule. The method includes generating a dispatch schedule for one or more vehicles at one or more time instants based on a first demand for the one or more vehicles along a route. For a current time instant, the method includes predicting a second demand for the one or more vehicles at each of the one or more stations, at time instants subsequent to the current time instant, based on a current demand. The method further includes updating the dispatch schedule by varying the count of vehicles to be dispatched from the first station based at least on the second demand. Further, the method includes transmitting a notification to a computing device installed in each of the one or more vehicles.

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Theja Tulabandhula