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Current technologies in vehicular communication
Dimitrakopoulos G., Springer International Publishing, New York, NY, 2016. 121 pp. Type: Book (978-3-319472-43-0)
Date Reviewed: Jul 20 2017

Divided into six chapters, this is a rather short book acting as an introduction to the state-of-the-art technologies related to communications among vehicles. The first chapter is an introduction to the communications between different types of vehicles. Not only is car-to-car communication depicted, but also communications in railways, ships, and airplanes.

Chapter 2 deals with the most common standards for vehicular communications. Some protocols are technically described in a brief manner. Three operational scenarios (collision avoidance, automated route guidance for emergency response vehicles, and advanced assisted eco-driving) are explained.

Chapter 3 introduces the reader to the concept of smart cities and how vehicular communications can help in the search for sustainable mobility. Several examples have been included from a descriptive point of view with different levels of concision in the problem specification. Traffic assessment, forecasting and management, road luminosity, and intelligent parking are some of the described applications. A special note has to be made about one application: carpooling (ride-sharing). It has been described carefully and in depth, providing a mathematical formal description, and results for three different scenarios: regular service, cost-driven, and improvement of driver. For each one of these, two phases are exposed: robust discovery and decision making.

Advanced driver assistance systems (ADAS) are shown in chapter 4. Some generic utility scenarios are outlined. After that, 11 case studies are exposed. In the first one, the proactive global alerting system is profusely described. It starts with a mathematical formulation for computing angles, distances, and directions of each vehicle in a given area. With these data, it is possible to obtain probabilities of crashing into one another. Therefore, the solution is a warning system to help the driver to reduce this probability. The proposed system provides a linguistic tag, referring to the gravity of the situation: “Danger,” “Warning,” “Caution,” or “OK.” Fuzzy logic is included in the system. The rest of the case scenarios are briefly described without such an in-depth description and analysis as the first case.

The requirements of the information and communication technologies (ICT) for knowledge-based management in ADAS are depicted in chapter 5. This chapter is focused on what is needed from devices, infrastructures, protocols, and algorithms to be able to make intelligent decisions in ADAS. First, the author shows the current wireless environment and sets forth the conditions to be fulfilled to provide cognitive management systems. The information of the environment has to be sensed in different ways depending on the dynamic context. Therefore, some profiles and policies are deployed to manage the sampling and processing (when and how to trigger the actual sampling of the different contextual variables). Furthermore, the status of the network and some other communication issues are used to determine the actual behavior of the network. All of these facts are briefly described to provide the proposed framework for cognitive management in ADAS. There are two domains: vehicle cognitive management functionality and infrastructure cognitive management functionality. Besides, there are two levels: high-level data and low-level data. The combination of these levels and domains, using the network, provides the computation pathway for cognitive ADAS.

The last chapter outlines the near future of autonomous driving. First, the author makes the distinction between highly automated driving and autonomous driving. Instead of giving a definition for the first concept, some research examples are provided. The second concept, on the other hand, is considered the core of this chapter and is covered throughout it. A list of advantages and disadvantages (some of them are obstacles to be solved) are itemized to show the possibilities this technology is currently facing. A specific section on legislation related to autonomous driving is included.

The book is mainly a general introduction for researchers who have no idea about vehicular communications. It is too simple for a researcher trying to find more in-depth information on the topic. Although several example scenarios and case studies are suggested in each chapter, only two case studies have been analyzed with enough formality to be interesting for further study. This book is around 100 pages long; thus, it would be possible to increase its length in a future edition, in order to describe more case studies without making it excessively thick.

There are some editing errors in the book. For instance, in chapter 2, when describing Scenario 1, the author writes about the “blue” car and the “white” one in Figure 2.11. However, that figure is not in color but in grayscale. Although this does not affect the comprehension of the concept, it is something that could have been easily fixed with a little effort.

Reviewer:  José Manuel Palomares Review #: CR145436 (1709-0572)
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