Javier Sanchez-Medina

Javier Sanchez-Medina
Universidad de Las Palmas de Gran Canaria | ULPGC · Department of Computer Sciences and Systems

PhD

About

91
Publications
17,151
Reads
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1,049
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Introduction
I am a Spanish Computer Science professor motivated about the application of Evolutionary Computation, Data mining and Parallel Computing to Intelligent Transportation Systems. I've published more than 30 int. conference articles and more than 15 research journal articles I am also pretty active as volunteer at many IEEE Conferences, journals, summer camps, etc.
Additional affiliations
September 2015 - present
Universidad de Las Palmas de Gran Canaria
Position
  • Professor (Associate)
September 2007 - September 2015
Universidad de Las Palmas de Gran Canaria
Position
  • Professor (Assistant)

Publications

Publications (91)
Article
Full-text available
Data stream mining (DSM) represents a promising process to forecast financial time series exchange rate. Financial historical data generate several types of cyclical patterns that evolve, grow, decrease, and end up dying. Within historical data, we can notice long-term, seasonal, and irregular trends. All these changes make traditional static machi...
Conference Paper
Smart Mobility is a concept within Smart Cities, which are "cities in which ICT is merged with traditional infrastructures, coordinated and integrated using new digital technologies" [9]. According to the United Nations 2/3 of world population is expected to live in cities by 2050. Therefore, mobility is a keystone for providing citizens access to...
Article
Full-text available
Clustering analysis is one of the data analysis techniques that organizes items into clusters according to their degrees of similarities. In this context, bio-inspired algorithms have found success in solving clustering problems.Inspired by nature, Ant Colony based Clustering arises from ant colony behavior in organizing nests and clustering ants c...
Article
Full-text available
Advances in Data Science permeate every field of Transportation Science and Engineering, resulting in developments in the transportation sector that are data-driven. Nowadays, Intelligent Transportation Systems (ITS) could be arguably approached as a “story” intensively producing and consuming large amounts of data. A diversity of sensing devices d...
Article
This research work presents a detailed survey about Computational Intelligence (CI) applied to various Hotel and Travel Industry areas. Currently, the hospitality industry’s interest in data science is growing exponentially because of their expected margin of profit growth. In order to provide precise state of the art content, this survey analyses...
Article
Full-text available
Urban Traffic Networks are characterized by their high dynamics and increased traffic congestion cases, leading to a more complex road traffic management. The present research work suggests an innovative advanced vehicle guidance system based on Hierarchical Interval Type-2 Fuzzy Logic model optimized by the Particle Swarm Optimization (PSO) method...
Article
From November 4th to 7th, 2018, the IEEE Intelligent Transportation Systems Society (ITSS) sponsored the 21st IEEE International Conference on Intelligent Transportation Systems (ITSC2018), one of the most prestigious academic meetings on Intelligent Transportation Systems. The 2018 annual flagship conference of the IEEE ITS Society was held in Mau...
Article
Full-text available
In recent years, indoor localization systems based on fingerprinting have had significant advances yielding high accuracies. Those approaches often use information about channel communication, such as channel state information (CSI) and received signal strength (RSS). Nevertheless, these features have always been employed separately. Although CSI p...
Chapter
In a fully connected world where data freely flows and people can travel anywhere a lot of research has been conducted regarding Smart Mobility, which aims to improve all sorts of traffic matters, from Vehicle Data to Traffic flow management. However, it is also surprising how this topic has been applied in such a small extent to Tourism, an area t...
Chapter
With a huge increase in computational power, Traffic Predictive Analysis has seen various improvements in the recent years. Additionally, this field is experimenting an increase in available data, which allows to produce more precise forecasting and classification models. However, this means that the available data has also seen a huge increase in...
Article
Full-text available
Autonomous vehicles rely on sophisticated hardware and software technologies for acquiring holistic awareness of their immediate surroundings. Deep learning methods have effectively equipped modern self-driving cars with high levels of such awareness. However, their application requires high-end computational hardware, which makes utilization infea...
Article
In real-world applications such as emotion recognition from recorded brain activity, data are captured from electrodes over time. These signals constitute a multidimensional time series. In this paper, Echo State Network (ESN), a recurrent neural network with great success in time series prediction and classification, is optimized with different ne...
Preprint
Full-text available
Advances in Data Science are lately permeating every field of Transportation Science and Engineering, making it straightforward to imagine that developments in the transportation sector will be data-driven. Nowadays, Intelligent Transportation Systems (ITS) could be arguably approached as a "story" intensively producing and consuming large amounts...
Article
Full-text available
The articles in this special section focus on data driven optimization for transportation and smart mobility applications. We live in an era of major societal and technological changes. Transportation de-carbonization and postindustrial demographic trends, such as massive migrations and an aging society, generate new challenges for cities, making t...
Article
In the last years, the arrival and progressively gained maturity of technological paradigms such as Connected Vehicles, the Internet of Things, Sensor Networks, Urban Computing, Smart Cities, Cloud Computing, Edge Computing, Big Data and others alike have ignited the role historically played by data-based learning techniques to levels never seen be...
Article
Full-text available
The Canary Islands are a well known tourist destination with generally stable and clement weather conditions. However, occasionally extreme weather conditions occur, which although very unusual, may cause severe damage to the local economy. The ViMetRi-MAC EU funded project has among its goals, managing climate-change-associated risks. The Spanish...
Conference Paper
Full-text available
Technologies and systems assisting drivers to locate free on street parking space and/or inform on parking availability may significantly reduce the traffic induced from cruising for parking space in cities. This paper attempts to reveal the factors that may affect the acceptability of parking assistance systems in different European cities, based...
Article
Full-text available
This paper capitalizes on the increasingly high relevance gained by data-intensive technologies in the development of intelligent transportation system, which calls for the progressive adoption of adaptive, self-learning methods for solving modeling, simulation, and optimization problems. In this regard, certain mechanisms and processes observed in...
Article
Deep neural networks have proved promising results in many applications and fields, but they are still assimilated to a black box. Thus, it is very useful to introduce interpretability aspects to prevent the blind application of deep networks. This paper proposed an interpretable morphological convolutional neural network called Morph-CNN for patte...
Conference Paper
Technologies and systems assisting drivers to locate free on street parking space and/or inform on parking availability may significantly reduce the traffic induced from cruising for parking space in cities. This paper attempts to reveal the factors that may affect the acceptability of parking assistance systems in different European cities, based...
Preprint
Urban Traffic Networks are characterized by high dynamics of traffic flow and increased travel time, including waiting times. This leads to more complex road traffic management. The present research paper suggests an innovative advanced traffic management system based on Hierarchical Interval Type-2 Fuzzy Logic model optimized by the Particle Swarm...
Article
On October 16th, 2017, in Yokohama, Japan, from 8:00 to 18:00, the first Intelligent Transportation Systems plus Data Mining challenge was organized under the umbrella of the 2017 IEEE Intelligent Transportation Systems Conference, the flagship conference of the IEEE Intelligent Transportation Systems Society. This activity was organized thanks to...
Preprint
Full-text available
In real-world applications such as emotion recognition from recorded brain activity, data are captured from electrodes over time. These signals constitute a multidimensional time series. In this paper, Echo State Network (ESN), a recurrent neural network with a great success in time series prediction and classification, is optimized with different...
Conference Paper
Service regularity is one of the most significant performance indicators for public transport routes, typically measured through headway adherence. When headway deviations become too large and corresponding headways very small, bus bunching typically occurs. In these cases, passengers experience larger waiting times and overcrowding and an overall...
Conference Paper
Full-text available
This paper focuses on modeling and solving a last-mile package delivery routing problem with third-party drop-off points. The study is applicable to small or medium-sized delivery companies, which use bikes for performing the routes in an influence area bounded to a city. This routing setup has been formulated as a multi-objective optimization prob...
Article
Reports on the work of the IEEE ITS society Technical Activities Committee.
Article
The articles in this special section focus on high performance computing that is used in the simulation and optimization of dynamic transportation systems. Some of the following topics are covered: High performance computing in modeling and optimization of dynamic network traffic; Simulation- based routing and assignment of dynamic network traffic;...
Chapter
One of the most important elements in the mobility of the developed cities is the road traffic management. The mobility determines the quality of citizens’ living conditions because of many reasons, security, efficiency, and the environmental impact. Focusing on security, according to World Health Organization (WHO), every year two millions of peop...
Article
The seven articles in this special section were presented at the IEEE ICVES 2017 Conference that took place in Vienna, Austrial. These articles describe novel approaches in vehicular electronics and safety. During the last few years, significant attention has been paid to developing and implementing key technologies of future ITS by integrating veh...
Book
This book gathers a wealth of research contributions on recent advances in intelligent and distributed computing, and which present both architectural and algorithmic findings in these fields. A major focus is placed on new techniques and applications for evolutionary computation, swarm intelligence, multi-agent systems, multi-criteria optimization...
Article
Full-text available
Data mining or Knowledge Discovery in Databases is becoming a very active field. Many different organisations perceive the tremendous potential that lies within the massive amounts of data available deep down in their databases. That precious golden knowledge is waiting to be pumped out in the form of models, predictors, summaries, profiles, associ...
Conference Paper
Reservoir Computing (RC) is a paradigm for efficient training of Recurrent Neural Networks (RNNs). The Echo State Network (ESN), a type of RC paradigm, has been widely used for time series forecasting. Whereas, few works exist on classification with ESN. In this paper, we shed light on the use of ESN for pattern recognition problem, i.e. emotion re...
Article
Full-text available
Indoor localization has gained considerable attention over the past decade because of the emergence of numerous location-aware services. Research works have been proposed on solving this problem by using wireless networks. Nevertheless, there is still much room for improvement in the quality of the proposed classification models. In the last years,...
Conference Paper
Full-text available
Indoor positioning estimation has become an attractive research topic due to the growing interest in location-aware services. Many research works have been proposed on solving this problem by using wireless networks. Nevertheless, there is still much work needed to achieve high accuracy levels. In the last years, the emergence of visible light comm...
Article
In this paper, a new method for real-time detection, motion estimation, and tracking of generic obstacles using just a 3-D point cloud and odometry information as input is presented. In this approach, a simplification of the world is done using voxels, supported by a particle filter-based 3-D object segmentation and a motion estimation scheme. That...
Article
Various puzzles, games, humorous definitions, or mathematical recreations - usually having some relevance to xx engineering - that should engage the interest of readers.
Article
The use of the flip teaching methodology, a new trend in educational innovation, has had a significant impact. It has led to the creation of spaces that provide online video for use in the classroom while also encouraging the active participation of students. However, the implementation of this methodology can be problematic in the classroom. A new...
Article
This paper introduces a local planner which computes a set of commands, allowing an autonomous vehicle to follow a given trajectory. To do so, the platform relies on a localization system, a map and a cost map which represents the obstacles in the environment. The presented method computes a set of tentative trajectories, using a schema based on a...
Conference Paper
In this paper we want to give a quick introduction about how to install and use SUMO to build a first simulation in a few steps.
Conference Paper
Mobility is a crucial element for this century’s societies.
Conference Paper
Path planning is a key and complex element for every unmanned ground vehicle development. Once the 3D reconstruction of the environment is completed and the objective configuration (desired position and pose) is defined, there has to be a careful path planning algorithm. That path is subject to many restrictions: it has to be time optimal, we have...
Chapter
This study proposes and applies a methodology to calibrate microscopic traffic flow simulation models. The proposed methodology has the capability to calibrate simultaneously all the calibration parameters as well as demand patterns for any type of network. Parameters considered include global and local as well as driver behaviour and vehicle perfo...
Article
Full-text available
Dynamic Traffic Assignment is currently a key topic for the most advanced traffic management systems. Basically, it consists on automatically diverting traffic to the optimal choice of a set of alternatives – or combination of alternatives – towards each vehicle " s destination node. A truly dynamic traffic assignment system could, potentially, cop...
Article
Presents various games and puzzles.
Article
This study evaluated the effectiveness and equity of a fee for vehicle miles traveled (VMT) for passenger vehicles in Nevada. In the evaluation of the fee's effectiveness, the collection capabilities, as well as the fee's impact on the number of miles users drove, were considered. Equity was evaluated by considering the impact of the VMT fee on var...
Article
This work focuses on the use of an Ant colony optimization (ACO) based approach to the problem of 3D object segmentation. The ACO metaheuristic uses a set of agents (artificial ants) to explore a search space. This kind of metaheuristic can be classified as a Natural computing non-deterministic technique, which is frequently used when the size of t...
Conference Paper
Full-text available
There are many elements of proof indicating that the forecasted Earth's starting glaciation is being severely counteracted by the well known anthropogenic greenhouse effect. This seems to be mainly because of the human development related increment of the emission of a number of gases, in particular $CO_2$. In this work we present a model fitt...
Article
Full-text available
Various puzzles, humorous definitions, or mathematical recreations - usually having some relevance to electrical engineering - that should engage the interest of readers.
Conference Paper
We are in a world of continuous changes. New structures such as social networks or new technologies modify our perception of learning. This perception, combined with the unemployment rate and the rising life expectancy, draws a new scenario where the need of a new learning frame is not a choice. For this reason, we have developed and applied a lear...
Conference Paper
Platoon vehicles coordination is an important topic at Intelligent Transportation Systems these days. For coordinating two or more vehicles, it is needed both a communication method between them, and an environment sensing strategy enabling the triangulation and correction, when needed, of each vehicle relative position within the desired platoon....
Conference Paper
Full-text available
In the present article our purpose is to share the design and some initial validation test results we have developed with a new extended cellular automata simulation model. Such new model is equipped to simulate both overtaking and two basic driving behaviour rough patterns: Some virtual drivers facilitate others drivers' manoeuvres and some do not...
Conference Paper
Full-text available
Traffic Light Detection is a problem differently approached by many research groups around the world. Here we present a novel technique to detect suspended traffic lights, based on colors and features such as black area of traffic lights or area of lighting lamps. Additionally, the traffic light distance is estimated aiming at slowing down and stop...
Conference Paper
We have designed a new urban travel route optimization model in combination with a new microscopic simulation paradigm. The core of the system stands over the assumption that we can have a traffic network with an Advanced Traffic Information System (ATIS) installed that advises drivers at every intersection as to which direction to take, depending...
Conference Paper
Intelligent Vehicle Robotics is a research area affordable only to big size research groups, mainly because of its high costs. By the present work we propose to develop Intelligent Vehicle Robotics research with modest budgets using an accurately scaled platform. We have developed a scaled intelligent vehicle model to simulate private electric vehi...
Conference Paper
In our group we have been dealing with traffic simulation for a few years. We plan to develop research initiatives in order to give our microsimulators a higher level of accuracy. We believe that it could help to have a multimodal microsimulation, in the sense of making virtual traffic to be composed not just by one generic vehicle type, but a set...
Conference Paper
Full-text available
In the last decades modern cities have improved their facilities making them very comfortable for citizens. However, there is one area where much work is still pending: that is mobility. As both population and economical activity rise year by year, metropolises need higher capacity and more efficient traffic infrastructures. Specially in Latin coun...
Conference Paper
Full-text available
In our group we have been dealing with traffic simulation for a few years. We plan to develop research initiatives in order to give our microsimulators a higher level of accuracy. We believe that it could help to have a multimodal microsi-mulation, in the sense of making virtual traffic to be composed not just by one generic vehicle type, but a set...
Article
Urban traffic congestion is a pandemic illness affecting many cities around the world. We have developed and tested a new model for traffic signal optimization based on the combination of three key techniques: 1) genetic algorithms (GAs) for the optimization task; 2) cellular-automata-based microsimulators for evaluating every possible solution for...
Article
Urban traffic is a key factor for the development of a city. There exist many different approaches facing traffic optimization. In our case we have focused on traffic lights optimization. We have designed and tested a new architecture to optimize traffic light cycle times. The purpose of this research is to demonstrate the good performance of our a...
Conference Paper
Traffic Circles are frequently used in cities, to control vehicular traffic at intersections. As said in [1], their main advantages can be the provision of an adequate throughput and the improvement of user safety, by slower vehicle speeds and reducing traffic conflicts.
Conference Paper
In our group we have developed a traffic lights programming optimization model based on the combination of Genetic Algorithms and Microsimulation running over a Beowulf Cluster parallel computer. So far, in this architecture we have used a single variable for the fitness function. In this research our aim is to explore any polynomial dependence - u...
Chapter
Full-text available
The authors would like to acknowledge th Saragossa Town Hall Traffic Department for their kind help and assistance. We would like to thank Mrs. Mar?a Luisa Sein- Echaluce Lacleta too, from the University of Saragossa for her kind help to obtain the data from the Saragossa City Traffic Department. Finally, the authors would like to acknowledge the S...
Article
Full-text available
In previous research, we have designed and successfully tested a traffic light cycles evolutionary optimization architecture. In this paper, we attempt to validate those results with a real-world test case. For a wide area in Santa Cruz de Tenerife city - Canary islands - we have improved traffic behavior, using our optimized traffic light cycle ti...
Conference Paper
Full-text available
Our group has developed and successfully tested a new urban traffic lights optimization architecture. This architecture includes a standard Genetic Algorithm, a Cellular Automata based traffic simulator within the evaluation function, and a Beowulf Cluster. Every hypothetical solution is marked according to the statistics obtained from a traffic mi...
Conference Paper
During the last two years we have been working on the optimisation of traffic lights cycles. We designed an evolutionary, distributed architecture to do this. This architecture includes a Genetic Algorithm for the optimisation. So far we have performed a single criterion optimisation – the total volume of vehicles that left the network once the sim...
Conference Paper
Last year we presented at the CEC2004 conference a novel architecture for traffic light cycles optimization. The heart of this architecture is a Traffic Simulator used as the evaluation tool (fitness function) within the Genetic Algorithm. Initially we allowed the simulator to have a random behavior. Although the results from this sort of simulatio...
Conference Paper
During a couple of years we have dealt with the traffic lights optimization problem. We have designed a scalable and flexible architecture for this purpose. By this work we present a comparison between two different approaches to crossover. We have used a real world case. Through some tests we show that using a gray code bit level crossover instead...