Vehicle Navigation Protocol in Real-Time Fleet Management

TLDR: The use of parallel computing strategies for solving real-time vehicle routing problems is highlighted, related to linear optimisation and falls under the domain of logistics and transport.

Abstract: In Real-Time Fleet Management, vehicle routes are built dynamically according to travel durations, location of the vehicles and also customer requests which are revealed gradually To account for such situations, algorithms which are fast and can accommodate the uncertainty are needed We here highlights the use of parallel computing strategies for solving real-time vehicle routing problems The vehicle routing problem is related to linear optimisation and falls under the domain of logistics and transport Vehicle routing problems comprise of determining optimal vehicle routes according to various constraints such as the total demand should not exceed the total capacity, service durations are met The objectives of solving the Vehicle Routing Protocol varies depending upon the dynamically of the system In general, systems, which are weakly dynamic, focus on optimising or minimising the routing costs The systems, which are strongly dynamic, focus more on minimising the expected response time