Tata Consultancy Services Limited

Siddhartha Sengupta

Nishant Kumar Agrawal

Sunil D Joshi

Shripad Salsingikar

Sudhir Radhakrishna Shetiya

Sudhir Kumar Sinha

Kejitan Dontas

Sandeep Patalay

The present disclosure provides a system for securing communication between Central Controller and signaling devices including actuator devices and signaling sensors used in railway and road traffic signaling networks. Conventional signaling systems use unsecured metal cables to communicate between the Central Controller and the signaling devices, making them vulnerable to unauthorized intrusion and mischief. In the present disclosure, two uniquely addressable communication modules, one (SCM) securely housed with the Central Controller and another (SCM) securely housed in an assembly also containing the signaling device and the related power switches are used to establish a transparent but standard secure digital communication protocol between them to authenticate and validate mutual communication, making them secure and safe from intrusion and undesirable manipulation.

System for securing communication between central controller and signaling devices in traffic signaling networks

Systems and methods of scheduling tasks and managing computing resource allocation in a closed loop control system is provided. The system uses historical run-time statistics that includes expected run-time (&#x3bc;) and standard-deviation (&#x3c3;) in run-times, of the tasks. The run-time statistics are used by the system to first predictively allocate and then to order the execution of the tasks in order to minimize the make-span. The schedule predicted is a queue of tasks to be executed on each computing resource ordered by a function of the expected run-time (&#x3bc;) and standard-deviation (&#x3c3;). Reactive scheduling involves periodically probing the progress and reacting to imbalances in progress across computing resources by switching tasks between lagging and leading computing resources.

Systems and methods for scheduling tasks and managing computing resource allocation for closed loop control systems

Disclosed is method and system for continuously re-generating reactive on-line train schedules for trains running in a large railway network. Railway network partitioned based on user configuration, into first type comprising trunk line and feeder line sub-networks, and second type comprising supervisory dispatch control territories. Sense and respond cycle is continuously executed on multi-processor computing environment, senses dynamic data from field about train movements, and other changes from users. For each first type sub-network, degree of deviation is computed from incumbent plans and congestion in sub-networks. Using degree of deviation and congestion, trains are rerouted and suitable scheduling methods are chosen for each sub-network and executed in parallel and first level train schedules are sent to second level train schedulers working on second type sub-networks which in parallel identify and resolve conflicts among first level train schedules. Second level train schedules are collated to generate reactive on-line network train schedule.

System and method for generating vehicle movement plans in a large railway network

The present disclosure relates to a system and a method for vehicle movement modeling in a network. The modeling may be characterized by vehicle related intelligence gathering, processing and dissemination thereof for an adaptive rescheduling of the vehicle movement in the railway network. Predefined data associated with the vehicle in the railway network is acquired and is further processed to resolve one or more conflicts associated with the vehicle movement. The processing may include allocating resources, developing plans for voyages, and continuously gathering deviation data. The vehicle movement modeling may also include generating detailed layouts of vehicle movements for particular time-periods over the railway network.

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Mumbai, India

Siddhartha Sengupta