Estimation of Accurate Path Length with Geospatial Data Analysis
Report, 2024
The core objectives of this study included creating a backend system to process and sort road data, deploying multiple path length estimation methods, and quantifying their accuracy using standard measures. The performance of each method was showcased through a case study, highlighting their effectiveness in different scenarios. Additionally, the study developed a deterministic Operating Cycle (dOC) model to encapsulate road data and facilitate residual range prediction in simulations. For the complete code, click the button in the top right corner "read online". To download the technical report, click the top right corner "read full text" button.
Road data
dOC
Path length estimation
Author
Carl Emvin
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems
Yogeswaran Amsavalli
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems
Fredrik Bruzelius
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems
Bengt J H Jacobson
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems
Rickard Andersson
Volvo Group
Utility and trust oF Electric vEhicLes (U-FEEL)
Volvo Group, 2022-10-01 -- 2025-09-30.
Volvo Cars, 2022-10-01 -- 2025-09-30.
Swedish Energy Agency (P2022-00948), 2022-10-01 -- 2025-09-30.
Volvo Group, 2022-10-01 -- 2025-09-30.
Scania CV AB, 2022-10-01 -- 2025-09-30.
Areas of Advance
Transport
Subject Categories
Vehicle Engineering
Computer Vision and Robotics (Autonomous Systems)
Geosciences, Multidisciplinary
Publisher
Chalmers