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 "view online".

dOC

Path length estimation

Road data

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.

Scania CV AB, 2022-10-01 -- 2025-09-30.

Volvo Group, 2022-10-01 -- 2025-09-30.

Swedish Energy Agency (P2022-00948), 2022-10-01 -- 2025-09-30.

Volvo Cars, 2022-10-01 -- 2025-09-30.

Areas of Advance

Transport

Subject Categories

Vehicle Engineering

Publisher

Chalmers

More information

Latest update

7/4/2024 1