Summary

Faced with the panorama of the city, it is necessary to characterize each of the elements that participate in vehicular traffic, as well as to integrate them through a mathematical model, in order to obtain an approximation to the real dynamics of the system. The development of this project aims, then, to solve the mobility problems of the city of Medellín by reducing the length of time users spend on the road. To achieve this goal, the aim is to address the problem of traffic from the multimodal point of view, understood as a system in whose intersections vehicles, motorcycles, articulated vehicles, people and, in some cases, bicycles can interact; by coordinating different types of traffic lights (isolated, monomodal and multimodal). This coordination is based on the solution of optimization problems whose communication structure can be of a hierarchical or distributed type (a centralized communication structure is not considered as a valid option due to the type of escalation in traffic systems).

Keywords: Mobility, multimodal transport network, microscopic and macroscopic models of urban traffic, predictive control based on models.

Objectives

General objective:

To develop urban traffic models that describe the interaction between the different actors involved in vehicular traffic (people, vehicles, and articulated vehicles), which are useful for the development of urban traffic monitoring and control strategies in a multimodal reference framework ( different forms of transport interacting with each other).

Specific objectives:

1. To formulate a general model of urban traffic in which different actors and factors that intervene in the behavior of urban traffic (vehicular flow, bicycle flow, pedestrian flow, articulated bus flow among others) are considered.
2. To identify the different ways of operation of the traffic lights (isolated and coordinated), the types of traffic lights that are available for the control of urban traffic (unimodal and multimodal) and the various control strategies applied to them (predictive control, robust control and multiobjective control).
3. To identify and propose strategies for coordinating traffic lights based on optimization, which allow better use of the road infrastructure and control urban traffic taking into account the interactions between the different forms of transport available.
4. To develop a multimodal traffic simulation tool, based on the proposed models, which allows validating the monitoring and control strategies generated in this project.