Depending on relations and transient properties, real world events or physical settings can be represented with different types of network structures. To realize this purpose, a social network topology becomes a complex and a scale free network. In this paper, we propose to use this topology to represent road networks. Generally speaking, road networks and their spatial relations reside on a pl...

This paper proposes an agent model with adaptive weight-based multi-objective algorithm to manage road-network congestion problem. Our focus is to construct a quantitative index series to describe the road-network congestion distribution, and use such indexes as weights in the multi-objective algorithm to shunt vehicles on those congested links. First, a multi-agent system is built, where each ...

Rapid growth in a number of vehicles on roadways accelerates pavement deterioration trends. Pavement inefficiency in carrying the applied load from passing vehicles results in spending significant costs on continues Maintenance and Rehabilitation (M&R) treatments. Lane closure owing to the implementation of M&R operations incurs enormous costs on road users. The research aimed to calculate, and...

The analysis of the existing condition of Serbian road network from the safety aspect, aiming at proving necessity for road network reconstruction as the basic precondition for reducing great number of traffic accidents is prepared in this paper.

Map generalization simplifies the details of map representation. Automatic generalization has been a hot research topic for decades, but there does not exist a set of universal rules or algorithms that explicitly defines how generalization should be performed. This paper presents a method to automatically generalize roads and buildings. With the proposed method, road generalization and building...

Using road GIS (geographical information systems) data and travel demand data for two U.S. urban areas, the dynamical driver sources of each road segment were located. A method to target road clusters closely related to urban traffic congestion was then developed to improve road network efficiency. The targeted road clusters show different spatial distributions at different times of a day, indi...

A new cellular automaton (CA) model is proposed to simulate traffic dynamics in urban two-way road network systems. The NaSch rule is adopted to represent vehicle movements on road sections. Two novel rules are proposed to move the vehicles in intersection areas, and an additional rule is developed to avoid the "gridlock" phenomenon. Simulation results show that the network fundamental diagram ...

This paper presents the results of integrating omnidirectional view image analysis and a set of adaptive backpropagation networks to understand the outdoor road scene by a mobile robot. Both the road orientations used for robot heading and the road categories used for robot localization are determined by the integrated system, the RUNN (Road Understanding Neural Networks). Classification is per...

This paper presents the results of integrating omnidirectional view image analysis and a set of adaptive backpropagation networks to understand the outdoor road scene by a mobile robot. Both the road orientations used for robot heading and the road categories used for robot localization are determined by the integrated system, the road understanding neural networks (RUNN). Classification is per...

Geographical Information System (GIS) technology integrates hardware, software and spatial data for capturing, storing, updating, managing, analyzing and displaying geographical data and phenomena. Spatiotemporal analysis of such phenomena is one of the major tasks of a GIS. In this paper, we use GIS for the modeling of the exposure to direct sun light in a rural road network. When a vehicle is...