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Intelligent transportation systems (ITS) are defined as new infrastructures that combine people, roads and vehicles over the basis of modern embedded systems with enhanced digital connectivity. ITS is fast becoming a reality, favored in their development by the use of the internet. The purpose of this paper is to analyze the feasibility of road‐traffic management systems, using the internet as the communication link.

A literature review is presented to give a background in the progressive role that ITS and road safety and control applications play in society. The combination of internet and the ITS architecture is covered, and an electronic prototype providing web services for road‐traffic management is designed as an example. The scope of road traffic security research is extensive, and the use of artificial vision systems in road‐traffic analysis (technology which is on the basis of the developed prototype) is also discussed. The hardware and software characteristics of the prototype are defined.

The paper provides new insights into the use of the internet for road‐traffic management applications.

The research is limited to one particular road‐traffic management system. Results could be extended if more real equipments were analyzed. Also, end‐users' perception and their acceptance of the new technology could be examined using an information system theory like the technology acceptance model.

The paper shows the utility of the internet in the development of novel ITS.

This chapter presents an overview of social entrepreneurship and social innovation in Colombia and explores its implications in the Pacific Alliance. It is organized into five sections that provide an overview of the fields of social entrepreneurship and social innovation with the aim of sharing experiences that have occurred in the country with the international academic community. It offers a description of the social and economic context of Colombia and then presents the situations that currently serve as the basis of social entrepreneurship and social innovation. It also discusses the main actors that are active in this context. In particular, the chapter emphasizes the experience of the city of Medellín, which is thought to provide an auspicious scenario for the establishment of a business ecosystem based on social entrepreneurship and social innovation. The learnings of Colombia can serve as a relevant example for the countries of the Pacific Alliance that are currently building their social business ecosystems.

In the traffic monitoring system, the detection of stirring vehicles is monitored by fitting static cameras in the traffic scenarios. Background subtraction a commonly used method detaches poignant objects in the foreground from the background. The method applies a Gaussian Mixture Model, which can effortlessly be contaminated through slow-moving or momentarily stopped vehicles.

This paper proposes the Enhanced Gaussian Mixture Model to overcome the addressed issue, efficiently detecting vehicles in complex traffic scenarios.

The model was evaluated with experiments conducted using real-world on-road travel videos. The evidence intimates that the proposed model excels with other approaches showing the accuracy of 0.9759 when compared with the existing Gaussian mixture model (GMM) model and avoids contamination of slow-moving or momentarily stopped vehicles.

The proposed method effectively combines, tracks and classifies the traffic vehicles, resolving the contamination problem that occurred by slow-moving or momentarily stopped vehicles.