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Creators/Authors contains: "Allani, Amogh"

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  1. ; (, International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET))
    Given a transportation network, a source node s, a destination node t , and the number of maximum possible turnings b , the Turn-Constrained Shortest Path (TCSP) problem is to find the route that minimizes the travel distance and meets the turn-constraint. The TCSP problem is important for societal applications such as shipping and logistics, emergency route planning, and traffic management services. We propose novel approaches for TCSP to meet the turn-constraint while minimizing the travel distance for the vehicle route. Experiments using real-world datasets demonstrated that the proposed algorithms can minimize the travel distance and meet the turn-constraint; furthermore, it has comparable solution quality to the unconstrained shortest path and significantly reduces the computational cost. 
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