Experimental Designs for Electric Bus Routes in Alexandria, VA

A dataset on electric bus usage in Alexandria, VA, used to propose a Bayesian regression model for estimating energy costs. The network of bus stops is represented as an undirected graph, and a Simulated Annealing algorithm finds a Bayesian D-optimal design for a follow-up experiment. The dataset is 1.0 MB in size and was last updated on 2026-05-11.

Use Cases

• Estimating energy consumption distributions for electric buses based on route data.
• Optimizing experimental designs for follow-up studies using Bayesian D-optimality criteria.
• Modeling public transportation networks as undirected graphs for energy cost analysis.
• Applying Simulated Annealing algorithms to find optimal designs given posterior distributions.

Strengths

• Applies methods to a real dataset on electric bus usage in Alexandria, VA.
• Includes a proposed Bayesian regression model for estimating distributions of unknown energy costs.
• Dataset is 1.0 MB in size, indicating a focused scope.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely collected from electric bus operations in Alexandria, VA.

Freshness

Last updated 2026-05-11 12:38:09; freshness should be verified.

Geography

Alexandria, VA