This paper addresses the problem of finding an analytical expression for end-to-end Average Bit Error Rate (ABER) in multihop Decode-and-Forward(DAF) routes within context wireless networks. We provide recursive most generic case any number hops and single-hop ABER every hop route. Then, we solve relationship two scenarios to obtain simple expressions ABER, namely: (a) The simplest case, where all relay channels have identical statistical behaviour; (b) general channel has a different...

COVID-19 has become a major global issue with large social-economic and health impacts, which led to important changes in people's behavior. One of these affected the way people use public transport. In this work we present data-driven analysis impact on transport demand Community Madrid, Spain, using data from ticket validations between February September 2020. This period time covers all stages pandemic including de-escalation phases. We find that ridership dramatically decreased by 95% at...

The development of advanced driver assistance systems (ADASs) will be a crucial element in the construction future intelligent transportation with objective reducing number traffic accidents and their subsequent fatalities. Specifically, driving behaviors could monitored online to determine crash risk provide warning information via ADAS. In this paper, we focus on aggressiveness as one potential causes accidents. We demonstrate that can detected by monitoring external signals such lateral...

In recent years, moped-style scooter sharing is gaining increasing attention in many urban areas worldwide. Nevertheless, research contributions are still limited, unlike other shared mobility systems. This paper aimed at providing a first insight on moped demand by exploring the usage and opinions towards this new alternative. To that end, exploits data from web-based survey conducted Spain, one of countries with largest implementation around world terms e-mopeds fleet. Kruskal–Wallis tests...

COVID-19 has dramatically struck each section of our society: health, economy, employment, and mobility. This work presents a data-driven characterization the impact pandemic on public private mobility in mid-size city Spain (Fuenlabrada). Our analysis used real data collected from transport smart card system Bluetooth traffic monitoring network, February to September 2020, thus covering relevant phases pandemic. results show that, at peak pandemic, decreased 95% 86% their pre-COVID-19...

Abstract E-scooter services have multiplied worldwide as a form of urban transport. Their use has grown so quickly that policymakers and researchers still need to understand their interrelation with other transport modes. At present, e-scooter are primarily seen first-and-last-mile solution for public However, we demonstrate $$50\,\%$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>50</mml:mn> <mml:mspace/> <mml:mo>%</mml:mo> </mml:mrow> </mml:math> trips either...

A Bluetooth traffic monitoring system (BTMS) is capable of identifying vehicles and estimate their travel time (TT) in a route. This information key for intelligent transportation systems. Although BTMSs are currently deployed several cities throughout the world, there no formal methodology TT estimation they generate. In this paper, we first analyze specific features technology that affect estimation. particular, study reliability measurements, representativeness estimates, issues regarding...

The explosion of the Internet Things has dramatically increased data load on networks that cannot indefinitely increment their capacity to support these new services. Edge computing is a viable approach fuse and process sensor platforms so information can be created locally. However, integration complex heterogeneous sensors producing great amount diverse opens challenges faced. Rather than generating usable straight away, demand prior calculations supply meaningful information. In addition,...

This paper presents the results of a set extensive experiments carried out under both daytime and nighttime real traffic conditions. The data were captured using an enhanced or extended Floating Car Data system (xFCD) that includes stereo vision sensor for detecting local ahead. collected information is then used to propose novel approach level-of-service (LOS) calculation. calculation uses from xFCD magnetic loops deployed in infrastructure construct speed/occupancy hybrid plane...

AbstractAdvanced traffic management systems rely heavily on technology to perform accurate estimations of the current state as well its short-term evolution. The objectives are improving flow and enhancing road safety. Their success is based monitoring two key variables, specifically speed occupancy. latter has, date, received significantly less attention from scientific community. In this work we present a lightweight method “on-line” occupancy estimation. We first propose three...

Abstract Ride-hailing services such as Lyft, Uber, and Cabify operate through smartphone apps are a popular growing mobility option in cities around the world. These companies can adjust their fares real time using dynamic algorithms to balance needs of drivers riders, but it is still scarcely known how prices evolve at any given time. This research analyzes ride-hailing before during COVID-19 pandemic, focusing on applications series forecasting machine learning models that may be useful...

Wireless Sensor Networks are composed of low cost and extremely power constrained sensor nodes scattered over a spatial region. They form multi-hop self organized networks, making energy consumption crucial design issue. Research has shown that clustering is an efficient method to manage for prolonging the network lifetime, but most routing protocols focus on homogeneous networks they not optimized characteristics heterogeneous in which percentage equipped with additional capacities. In this...

Effective on-street parking is key to reduce urban traffic and pollution in densely populated cities. Thus, researchers have focused on forecasting future occupancy values depending factors like time, space, or weather. This approach shows high average performances, but fails predicting congested scenarios, actually the most critical. work proposes a data-driven level of service (LOS) predictor that outperforms traditional methods, solving its inherent class imbalance issue by means Random...

Wireless sensor networks are composed of low cost and extremely power constrained nodes which scattered over a region forming multi-hop self organized networks, making energy consumption crucial design issue. These used for various applications such as field monitoring, home automation, seismic medical data collection or surveillance. Research has shown that clustering is an efficient method to manage prolonging the network lifetime. In this paper we propose new architecture called HARP,...

In this paper we propose an efficient energy-aware routing algorithm based on learning patterns. Energy and message importance are considered in a Bayesian model order to establish intelligent decision rules that make the network economize crucial resources.

Abstract Car-sharing systems have irrupted in our cities following the shared mobility paradigm. They evolved personal market from product-based into service-oriented, which ultimately provides a positive impact on city’s sustainability. Car sharing are complex interactive service, whose dynamics can dramatically affect its operational viability. In order to better asses this viability, we must rely data produce novel metrics that characterize both user behavior and service performance. Up...

Energy efficiency in buildings is a key issue achieving sustainable development.Many decision support methodologies and tools have been developed, mainly based on energy consumption measurements or simulations rules designed by experts to construct Building Management Systems.An extension of this information from raw consumptions required.In addition, visual depiction with temporal spatial resolution, applied the different forms services will certainly lead much higher comprehension about...

A precise knowledge about future traffic will eventually open a new era in management. Research has focused on the still unresolved problem of predicting travel time (TT). However, practitioners favor level service (LOS) as meaningful metric that avoids continuous fluctuations and link-specificity TT. Evolving from TT to LOS opens research line field, moving underlying mathematical <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...