Based on an analysis of the current research and application of Road maintenance, geographic information system (WebGIS) and ArcGIS Server, the platform overhead construction for Road maintenance development is studied and the key issues are presented, including the organization and design of spatial data on the basis of the geodatabase technology, middleware technology, tiles cache index techn...

Network-level multi-step road condition forecasting is an important step in accurate road maintenance planning, where correct maintenance activities are defined in place and time of road networks. Forecasting methods have developed from engineering models to non-linear machine learning methods that make use of the collected condition and traffic data of the road network. Least Squares Support V...

The road network is extremely valuable. Road Administrations are expected to invest maintenance funding in a way that returns maximum benefit to road users. Cost-benefit analysis is one method to ensure that an adequate return in terms of benefits results from committing expenditure. Today, cost-benefit calculations are frequently used as a base for decision making of investments. The surges fo...

Forecasting road condition after maintenance can help in better road maintenance planning. As road administrations annually collect and store road-related data, data-driven methods can be used in determining forecasting models that result in improved accuracy. In this paper, we compare the prediction models identified by experts and currently used in road administration with simple data-driven ...

The winter road maintenance arc-routing is recognized as a notoriously hard problem not only from the algorithmic point of view. This paper lays down foundations theoretical understanding our new optimization for Plzeň region Czech Republic which has been implemented by regional authorities since 2019–20. Our approach not, contrary to most existing work, based on integer and linear programming ...