Elevation data is important for electric vehicle simulation. However, traffic simulators are often two-dimensional and do not offer the capability of modelling urban networks taking elevation into account. Specifically, SUMO Simulation of Urban Mobility, a popular microscopic traffic simulator, relies on networks previously modelled with elevation data as to provide this information during simu...

Data mining methods have been widely and successfully used in many fields in the last decade. And geographic knowledge discovery and spatial data mining also have attracted more attentions recently. This paper presents an ART-MMAP neural network based spatio-temporal data mining method to simulate and predict urban expansion. The spatial matrices derived from different urban related features, i...

Using mobile probes to inform and measure the effectiveness of traffic control strategies on urban networks Urban traffic congestion is a problem that plagues many cities in the United States. Testing strategies to alleviate this congestion is especially challenging due to the difficulty of modeling complex urban traffic networks. However, recent work has shown that these complicated systems ca...

an urban map, the procedure composes the road-network by searching the roads from each intersection. Next, it In this paper, we propose an experimental method to modifies the road-network by interpreting the original urrecognize roads from an urban map on the basis of the ban map and the network simultaneously with heuristic road-network. The road-network is a conceptual graph knowledges about ...

The concentration of human activities in urban areas has induced an increase in travel demand. This has brought urban transport systems to considerable levels of congestion, with negative environmental effects and external diseconomies leading to a poor quality of life. Therefore quantitative methods for urban network design have been developed in order to assure more effective results. The net...

We give a model for the description of an urban transportation network and we consider the related optimization problem which consists in finding the desing of the network which has the best transportation performances. This will be done by introducing, for every admissible network, a suitable metric space with a distance that inserted into the Monge-Kantorovich cost functional provides the cri...

For the shortage of the traditional evaluation methods of the urban economy, A new evaluation model proposed, establishing an index system of evaluation and decision table on city economy, and extracting important properties of input data from Rough Set and neural network, and evaluation indexes reduced as input of neural network to realize the city's economic strength evaluation , then, using ...

This article presents the multilayered complex network formulation for three different supply chain network archetypes on an urban road grid and describes how 500 instances were randomly generated for each archetype. Both the supply chain network layer and the urban road network layer are directed unweighted networks. The shortest path set is calculated for each of the 1 500 experimental instan...

Slime mould Physarum polycephalum builds up sophisticated networks to transport nutrients between distant part of its extended body. The slime mould’s protoplasmic network is optimised for maximum coverage of nutrients yet minimum energy spent on transportation of the intra-cellular material. In laboratory experiments with P. polycephalum we represent Canadian major urban areas with rolled oats...