The system includes:

• Vehicle monitoring unit (VMU)
• Data filtering and storing unit (DFSU)
• Computational module
• A vehicle monitoring unit (VMU) adapted to receive and  store the data of the vehicle which includes ateast a GPS sensor module and a GPRS module
• Data filtering and storing unit (DFSU) adapted to store the trajectory data of VMU in a retrievable format where the trip length is divided into multiple sections and data of vehicles section wise is stored as cluster data

A computational module has three modules:

• A real-time Vehicle status (RVSM) module adapted to receive, store and process vehicle trajectory data received from VMU and DFSU, .
• A nearest neighbor Search (NNS) module adapted to determine a cluster-set data using the processed data received from RVSM & to identify the cluster set, whose cluster data from DFSU matches the current vehicle trajectory data of a specific section of the trip length and also plurality of previous sections of the trip length
• A travel time prediction (TTP) module adapted to predict travel time using processed data from RVSM and cluster set data from NNS.

The Method involves:

• Storing Information-stores information representing prior travel-patterns of a plurality of vehicles.
• Determining Arrival Time-The system determines the arrival time at the destination based on data from DFSU at the commencement of travel.
• Receiving Information-The system receives information in a vehicle monitoring unit (VMU) data as trajectory data with a GPS sensor module and a GPRS module.
• Real-Time Section Wise Trajectory Data-The system receives real-time section wise trajectory data representing a cluster data of the current travel
• Calculating Travel Time-calculates the travel time based on the received real-time cluster data.