ALGOTRANSIT GitHub ↗

PROJECT 49 · GPS → INSIGHT

Bus data,
without the spin.

Explore how real-world bus GPS traces are processed into smoother driving cycles for fuel-efficiency, congestion, and emissions analysis.

Explore the data ↓ View methodology
PROJECT AT A GLANCE
Datasets
7
Analysis views
35
GPS routes
5
BMTC traces
2

HYBRID MMAS–ABC BUS OPTIMIZATION

01 / LIVE ANALYSIS

Trip explorer

PROJECT RESULT SET

Dataset 1

5 VIEWS
Raw versus optimized cycle for Dataset 1
Raw vs optimized cycle
Scatter analysis for Dataset 1
Scatter view
Congestion analysis for Dataset 1
Congestion
Emission analysis for Dataset 1
Emissions
Validation analysis for Dataset 1
Validation

Figures shown here reproduce the existing project outputs and captions. See the technical report for the method and assumptions.

02 / REPRODUCIBLE METHOD

From GPS trace to optimized cycle.

The workflow converts timestamped location records into speed profiles, applies the project’s optimization approach, and presents comparable results.

  1. 01

    Collect

    GPS location records capture timestamped bus movement across the selected routes.

  2. 02

    Process

    The existing Python scripts clean the recordings and create comparable speed profiles.

  3. 03

    Optimize

    The project applies its hybrid MMAS-ABC approach to generate optimized driving cycles.

  4. 04

    Present

    Five result views per dataset show cycles, congestion, emissions, and validation.

Research objective

Study whether smoother bus driving cycles can reduce unnecessary speed variation, improve operating efficiency, and support more sustainable urban transport planning.

03 / RESEARCH OUTPUTS

Research outputs.

DATA

GPS recordings

Five Ahmedabad–Gandhinagar datasets and two Bengaluru BMTC traces provide the project’s real-world movement data.

METHOD

Hybrid optimization

Python processing scripts produce bus cycles and apply the project’s MMAS–ABC optimization workflow.

RESULTS

Comparative analysis

Thirty-five charts present optimized cycles, congestion, emissions comparisons, and validation across all seven datasets.

04 / PUBLICATIONS

Project publications.

Read the complete methodology, review the research paper, download the presentation, or view the project poster.

Technical reportPDF ↓ Research paperPDF ↓ Project presentationPPTX ↓ Research posterPNG ↓ Source datasetMENDELEY ↗

RV COLLEGE OF ENGINEERING

Project team