Traffic systems evolved rapidly, becoming soon a specific case of a complex dynamic system, what raised the need for controlling them in order to achieve an efficient performance. One of the main factors of complexity of traffic systems is a consequence of the variable human traveling behavior in time and space. Therefore, traffic control, in the way it had been conceived and implemented, appeared as a restrictive approach just considering one of the control aspects: the time the vehicles are flowing through the network. This raised the need to move a step forward. Thus, traffic management could be seen as an extension of traffic control that simultaneously controls time and space, and is aimed at adjusting the demand and the capacity to avoid mismatching. This chapter summarily reviews the main concepts and approaches in the development of traffic management systems (TMSs) both in terms of managing the supply as well as managing (or influencing) the demand. In this context, travel times become one of the key factors to induce changes in drivers’ behavior in terms of making decisions on departure times and route choices. To better achieve such objectives, it would be desirable that TMS have predictive capabilities. The main approaches addressed here support the predictive capabilities of dynamic traffic models, one of whose main components is an estimation of the dynamic mobility patterns in terms of origin to destination (OD) matrices. This chapter summarizes the architecture of such approaches.
Dynamic Traffic Management: A Bird’s Eye View
Springer Tracts on Transportation, Traffic
21.01.2022
36 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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