Toll gates are always a place known for its congestion and queuing. This is a well known highly competitive problem in all parts of the world for the highways department. Various solutions such as automatic toll system, electronic card systems and open systems are in existence which has reduced or eradicated the congestion problem. This paper is a plan of proposing a support system for the vehicle drivers. The proposed intelligence system will help the users (drivers) who pass by the tolls, in selecting the fastest serving queue of a particular toll gate. The previous data of processing the number of vehicles at a particular lane are taken into consideration. The previous data are used to train and produce an intelligence system which will help the users to choose the fastest serving queue. This paper presents only a rough set of data which is taken as an example and a methodology is shown how such a system may be implemented using neural network intelligence system.
Article Details
Unique Paper ID: 146945
Publication Volume & Issue: Volume 5, Issue 2
Page(s): 539 - 542
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National Conference on Sustainable Engineering and Management - 2024