Abstract
As urban population increases steadily, current mobility and transportation services become inefficient, needing an urgent improvement since they represent a major source of discomfort and economic losses. In this context, the concept of intelligent transportation systems takes relevance as a way of optimizing those services with the use of technology. This work proposes a cyber-physical systems approach to collaborative urban traffic control. Specifically, a three-layer architecture is proposed to address the intersection management problem, making use of modular cyber-physical object abstractions and timed Petri nets. Preliminary implementations in a pseudo-real environment show that the proposed system is capable of handling the communication and processing loads, while improving traffic performance with respect to classical solutions for traffic signals, outperforming timed, Webster and coordinated control methods in pilot-scale tests.
Highlights
U RBAN population has experienced an exponential growth in recent years, a trend that seems to remain firm in the upcoming decades
The most widespread solution to reduce urban congestion is the use of Urban Traffic Control (UTC) systems for efficient intersection management, which represent the core of modern Intelligent Transportation Systems (ITS) [3] due to its high effectiveness, low cost and low space requirements compared to structural solutions [4]
In [32] a collaborative approach for intelligent traffic control is proposed, where each intersection is modeled as an agent that communicates with its neighbors and controls its traffic signals following a set of rules involving its own traffic condition, along with the downstream space availability of its neighbors
Summary
U RBAN population has experienced an exponential growth in recent years, a trend that seems to remain firm in the upcoming decades. It is estimated that by the year 2050 the world population will reach 9.8 billion inhabitants, two thirds of which will live in large cities, representing an increase of 36% from today’s situation [1] This new reality will inevitably render mobility and transportation services offered in urban areas inefficient and insufficient, incurring serious consequences for citizens. The Internet of Things (IoT) [12] plays an important role in this situation, acting as a large-scale data provider platform [13] that allows gathering real-time data to describe the performance of the different services in a city In this setting, cyber-physical systems (CPS) [14], conceived as highly distributed connected systems with the ability of actuating on their surrounding physical environment, appear as the natural tool for implementing smart services capable of autonomously control parts of the urban environment.
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