Traffic Management for Smart Cities

Abstract

Smart cities, participatory sensing as well as location data available in communication systems and social networks generates a vast amount of heterogeneous mobility data that can be used for traffic management. This chapter gives an overview of the different data sources and their characteristics and describes a framework for utilizing the various sources efficiently in the context of traffic management. Furthermore, different types of traffic models and algorithms are related to both the different data sources as well as some key functionalities of active traffic management, for example short-term prediction and control.

Emission estimation based on traffic models and measurements

“…Other methods of collecting floating-car data are associated with cellular networks and Automated Vehicle Identification (AVI), such as license plate recognition and re-identification of Bluetooth or Wi-Fi physical address. An overview of traffic sensors and floating-data collection techniques can be found in (Allström et al, 2017). Since floating-car data regards only a few probe vehicles, some macroscopic traffic variables essential from an emission modelling point of view, such as traffic flow or average speed can be estimated only under extensive assumptions.…”

Conceptual intelligent travel demand modelling framework for universities - Case study: King Abdulaziz University

“…Transportation management solutions are efficient ways to deal with transportation issues in a timely manner. For example, promoting public transit or shuttle services supported with advanced intelligent transportation system technology could shift many users from using their private vehicle to using public transit and subsequently relieve pressure on the road network [18,19]. Cellphones are used around the globe to plan for travel using various modes of transportation such as buses, metros and ride sharing.…”

Data-Driven Approaches for Traffic State and Emission Estimation

“…AVI devices typically require higher installation and maintenance cost compared to mobile sources. A more extended overview of traffic sensors and floating-data collection techniques is given by Allström et al (2017).…”