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Showing 1 to 13 of 13 for “"Dijkstra's algorithm"”.

  1. Fuel minimization of a moving vehicle in suburban traffic

    … to obtain analytical results. Therefore, we use Dijkstra's shortest path algorithm to discretize our decision problem. By ""setting nodes"" at each distance where there is a traffic light, we can model a realistic situation with an equivalent discrete graph with non negative edge costs. Each node …

    uiuc Repository record for Fuel minimization of a moving vehicle in suburban traffic (opens in a new tab)

  2. Explaining the Performance of Bidirectional Dijkstra and A* on Road Networks

    … community traditionally uses A* as the baseline algorithm for their research methods. Research papers in the road networks community, however, often build upon Dijkstra's algorithm and use Bidirectional Dijkstra's algorithm as their baseline. This thesis investigates the performance of A* and …

    denver Repository record for Explaining the Performance of Bidirectional Dijkstra and A* on Road Networks (opens in a new tab)

  3. Alternate path routing algorithm for traffic engineering in the Internet

    … avoid this problem is to use efficient routing algorithm that efficiently maps the flow of data onto the network; The most often used routing algorithm in the internet is the shortest path algorithm (Dijkstra's algorithm). This algorithm is simple and easy to implement. But this algorithm leads …

    unlv Repository record for Alternate path routing algorithm for traffic engineering in the Internet (opens in a new tab)

  4. Data Procurement for Shortest Paths on Random Graphs

    While Dijkstra's algorithm finds the shortest path between two nodes on a graph with known edge weights, we approach the shortest paths problem for graphs with random edge weights described by known probability distributions. We introduce the idea of a budget of size k which allows us to replace k …

    harvard Repository record for Data Procurement for Shortest Paths on Random Graphs (opens in a new tab)

  5. SMARTGUIDE: Revolutionizing the Depth and Dependability of Vision-Impaired Navigation

    … through the shortest path calculated by Dijkstra's algorithm; and (3) Obstacle Detection and Alerts, where YOLO identifies obstacles, and ZoeDepth estimates their distance to inform users of potential hazards. By adapting its responses based on user feedback, SmartGuide provides …

    vt Repository record for SMARTGUIDE: Revolutionizing the Depth and Dependability of Vision-Impaired Navigation (opens in a new tab)

  6. Online Unmanned Ground Vehicle Mission Planning using Active Aerial Vehicle Exploration

    … sensors for obstacle detection. Two exploration algorithms were developed to guide the exploration of the UAV. Both identify frontiers for exploration with the Dijkstra Frontier method using Dijkstra's Algorithm to identify a frontier with unknown space, and the other uses a bi-directional RRT to …

    vt Repository record for Online Unmanned Ground Vehicle Mission Planning using Active Aerial Vehicle Exploration (opens in a new tab)

  7. Path Planning for a UAV in an Agricultural Environment to Tour and Cover Multiple Neighborhoods

    … to achieve this goal - a TSP - Greedy and TSP - Dijkstra's. Both of them use a TSP solution to determine the optimal order of touring. They also use the same back and forth motion to cover each region. However, while the first approach uses a brute force to determine the the next closest node of …

    vt Repository record for Path Planning for a UAV in an Agricultural Environment to Tour and Cover Multiple Neighborhoods (opens in a new tab)

  8. Application of shortest path algorithms to find paths of minimum radiation dose

    … here is the use of two path-optimization algorithms, Dijkstra's Algorithm, and the Bellman-Ford Algorithm, to find paths through radiologically contaminated environments such that the accumulated dose is minimal. Such paths will be very useful for personnel whose job requires them to …

    uiuc Repository record for Application of shortest path algorithms to find paths of minimum radiation dose (opens in a new tab)

  9. Route Optimization for Automated Bridge Inspection with Genetic Algorithm

    We develop a Genetic Algorithm (GA) to generate efficient routes for a robotic bridge inspection team. Using robots to automate the process of bridge inspection will improve human safety and reduce time and money allocated to bridge inspections. To do this, we attack the problem of minimizing and …

    unr Repository record for Route Optimization for Automated Bridge Inspection with Genetic Algorithm (opens in a new tab)

  10. Building Maze Solutions with Computational Dreaming

    … computing, such as neural networks and genetic algorithms, lend themselves well to massively parallel systems but come with other drawbacks that can limit their usefulness such as the requirement of a training phase and/or sensitivity to randomness. This thesis investigates the feasibility of a …

    vt Repository record for Building Maze Solutions with Computational Dreaming (opens in a new tab)

  11. Geodesic Problems for Mobile Robots

    … of the configuration space and any graph search algorithm, such as Dijkstra's algorithm, extracts the solution. In the second problem, we introduce a new kinematic airplane model. Our airplane is a natural extention of the Dubins car, and extends it with an additional configuration variable for …

    uiuc Repository record for Geodesic Problems for Mobile Robots (opens in a new tab)

  12. ALGORITHMS FOR ROUTING AND CHANNEL ASSIGNMENT IN WIRELESS INFRASTRUCTURE NETWORKS

    … spatial throughput. This dissertation develops algorithms forrouting and broadcasting with channel assignment in such networks. First, we com-pute the minimum cost path between a given source-destination pair with channelassignment on each link in the path such that no two transmissions …

    arizona-thes Repository record for ALGORITHMS FOR ROUTING AND CHANNEL ASSIGNMENT IN WIRELESS INFRASTRUCTURE NETWORKS (opens in a new tab)

  13. Spatial-Temporal Stochasticity of Electric Vehicles in Integrated Traffic and Power System

    … system. In this thesis, a state transition algorithm is designed to determine a stochastic model of electric vehicles to simulate electric vehicle movement in an integrated traffic and power network. Dijkstra’s algorithm is used to determine the shortest distance between end-user residential …

    sdstate Repository record for Spatial-Temporal Stochasticity of Electric Vehicles in Integrated Traffic and Power System (opens in a new tab)