Abstract
Link travel speeds in road networks are fundamental data in many research areas of traffic, transportation, and logistics. To support the research in these areas, we develop a dataset, containing the travel speeds on each road link and in different time periods together with the real road network map. The dataset is collected from a representative megacity in Western China, Chengdu. The road network of this city involves different urban road network structures. The dataset shows the realistic variations and randomness of urban link travel speeds. This enables the research of real data-driven decision-making problems in traffic, transportation and logistics areas.
Highlights
Background & SummaryWith the rapid advancement of Global Positioning System (GPS) and information technology, the traffic and transportation sector is experiencing a massive increase in the amount of traffic data collected
To support the research in these areas, we develop a dataset, containing the travel speeds on each road link and in different time periods together with the real road network map
It is reported that real data-based research could result in 30% time reduction in congestions1, 5% carbon emission reduction2, or 30% reduction in fleet size3 in the road network
Summary
With the rapid advancement of Global Positioning System (GPS) and information technology, the traffic and transportation sector is experiencing a massive increase in the amount of traffic data (e.g., vehicles’ travel trajectory data) collected. It is reported that real data-based research could result in 30% time reduction in congestions1, 5% carbon emission reduction, or 30% reduction in fleet size in the road network. In the research areas of traffic, transportation and logistics, the travel speeds or travel times on road links are fundamental data for various decision-making problems, such as (a) traffic assignment, (b) vehicle routing, (c) ridesharing, and (d) the fleet minimization problem in urban road network. These problems are generally defined in a road network, the weights of whose links are traditionally travel speeds or corresponding travel times or costs. The data can reflect the real traffic conditions and enable to identify the congestions
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