Authors
Rahisha Thottolil, Uttam Kumar
Publication date
2023
Journal
Cognitive Sensing Technologies and Applications
Volume
135
Pages
437
Publisher
IET
Description
Land areas in urban agglomerations and metropolitan cities have been increasing worldwide, and cities are witnessing rise in both number and their corresponding populations, with an average annual growth rate of 1.7% in 2021. As a consequence, larger cities are facing significant challenges in road transportation system, urban mobility and traffic flow. Road transportation system is one of the most important subsystems in any city because it ensures better accessibility and connectivity between different geographic spaces and improves the travel demands in cities. However, urban mobility is impacted by the topology of transportation networks, therefore, understanding the topological patterns of the road and street networks is essential for enhancing vehicular transportation performance. In this chapter, we discuss various forms of spatial networks that are practiced in the realworld scenarios, and elucidate on the road transportation network structures and their properties. Several measures used for quantifying the transportation network performance such as connectivity and coverage using graph theory are deliberated.
Scholar articles
R Thottolil, U Kumar - Cognitive Sensing Technologies and Applications, 2023