Hourly Vehicle Classification Counts for Melbourne Roads 2014-2017

2014-2017 traffic survey data from the City of Melbourne records hourly vehicle volumes across 12 Austroads classification categories. The data is designed to be joined to road corridor information using road_segment and seg_id fields. Contractor-collected counts include varying capture of bikes, motorcycles, and maximum speed data across the survey years.

Use Cases

• Model hourly traffic volume patterns for specific vehicle_class categories across the 2014-2017 period.
• Analyze the proportion of undetermined vehicle types (vehicle_class 13) across different road_segment locations.
• Join counts to road corridor data on seg_id to assess traffic composition by infrastructure type.
• Investigate temporal trends in bike and motorcycle counts, noting capture inconsistencies between 2014, 2015, and 2016/17 surveys.

Strengths

• Data spans four consecutive years (2014-2017) of municipal traffic monitoring.
• Uses a standardized 12-category Austroads vehicle classification scheme.
• Includes documentation of a known data issue (112 records with '-' in vehicle_class), aiding data cleaning.

Limitations

• Inconsistent data capture for bikes, motorcycles, and maximum speed across different survey years limits longitudinal analysis for those features.
• Some records correspond to multiple road segments due to surveys at intersections, which may complicate aggregation.
• Sample data and specific row/column counts are unavailable, preventing assessment of dataset scale.

Provenance

Source

City of Melbourne Open Data

Collection Method

Contractor-performed traffic counts on municipal roads.

Time Range

2014-2017

Freshness

null

Geography

Roads throughout the City of Melbourne municipality, Australia.