A gamification framework demonstrating a complete cycle of vehicle driver performance evaluation

Training through a gamified environment motivates the users in achieving optimal outcome and reduces the complexity of learning by adding factor of entertainment in it. The deployment of serious games in automotive industry is a major leap in technological grounds, as it\u2019s a best way to inculcate safe driving patterns to reduce the fatalities and enhance resource usage which includes car accessories and fuel. The Ph.D. thesis represents Gamification platform aimed to Green Mobility and Safe Driving

Assessment of Driver Behavior Based on Machine Learning Approaches in a Social Gaming Scenario

The estimation of user performance analytics in the area of car driver performance was carried out in this paper. The main focus relies on the descriptive analysis with our approaches emphasizing on educational serious games, in order to improvise the driver\u2019s behavior (specifically green driving) in a pleasant and challenging way. We also propose a general Internet of the Things (IoT) social gaming platform (SGP) concept that could be adaptable and deployable to any kind of application domain. The social gaming scenario in this application enables the users to compete with peers based on their physical location. The efficient drivers will be awarded with virtual coins and gained virtual coins can be used in real world applications (such as purchasing travel tickets, reservation of parking lots, etc.). This research work is part of TEAM project co-funded within the EU FP7 ICT research program

Deployment of serious gaming approach for safe and sustainable mobility

The transportation sector is expanding its trends in accessibility, connectivity, and mobility for making the road travel as safe and convenient. Now with Services like car sharing, car pooling and rides there are new effective ways to reach the desired destination. But due to comfort reasons most of the car owners will use their car to navigate from point A to B, without caring about the pollution they produce. In this paper we describe a game based approach for motivating people to drive in a safe and environment-friendly way. The approach of this paper will allow people to measure their driving behavior within a game. The points earned in the game can not only be used for the comparison with peers but also to obtain monetary benefits in different stores

A Gamified Flexible Transportation Service for On-Demand Public Transport

Present public transport services still suffer from issues such as time deviations from the static timetable, overcrowded buses, increased on board time, and long wait at bus stops. This work studies the experimental implementation of an on-demand public bus transportation service in Trikala, a medium-sized Greek city. With a view to optimize the service from both the operator's and the citizens' point of view, this paper presents an insertion heuristic solving the static multivehicle dial-a-ride problem with time windows and a fixed fleet of vehicles. Since viability of such a service depends on its ability of involving a significant number of users and getting reliable information, we tested a gamification layer, aimed at motivating public transport users to participate and behave correctly with the system. We present and discuss a novel pervasive computing architecture and various types of serious games designed to achieve these goals. We finally report early usability test results and some simulation-based indications on the design of city-scale deployable serious games to enhance public transport-based mobility

A smart mobility serious game concept and business development study

The paper presents the concept of a serious game aimed at creating an ecosystem for connected, collaborative and green mobility. The ecosystem is based on rewarding proper user behavior through virtual and/or real-world incentives. The basis is provided by a seamlessly extensible set of apps allowing assessment of user behavior according to criteria related to green and collaborative mobility. The ecosystem looks particularly suited to the promotion of new mobility services. Users could be rewarded through incentives such as discounts from public authorities, mobility service providers, insurances. This is particularly interesting for companies willing to stay in constant contact with their customers and get data to improve their products and services. While the system has been developed for mobility-based games, the infrastructure is general and may be used in a variety of domains

TEAM applications for Collaborative Road Mobility

The TEAM industrial research project developed eleven collaborative mobility apps addressing various traffic issues and scenarios. The apps, involving different aspects and degrees of collaboration (e.g., direct user participation, shared objectives, coordination), aim at increasing the driver/traveler awareness and support a better behavior. This paper describes the apps and the underlying system architecture shared by the participating car manufacturers. Then, it provides a user acceptance analysis grouping the apps according to the three main types of users and stakeholders: drivers, travelers and administrators/operators. Data, collected in five European countries, shows that acceptance and expected impact is positive. The actual road-test experience did not diminish the high expectations raised by an initial presentation on paper, showing a good maturity of the prototypes. The Administrator app cluster shows a slightly better assessment, highlighting the importance of considering collaborative mobility as a system, including road, infrastructure and traffic management

Studying the interaction between charm and light-flavor mesons

International audienceThe two-particle momentum correlation functions between charm mesons ($\mathrm{D^{*\pm}}$ and $\mathrm{D}^\pm$) and charged light-flavor mesons ($\pi^{\pm}$ and K$^{\pm}$) in all charge-combinations are measured for the first time by the ALICE Collaboration in high-multiplicity proton-proton collisions at a center-of-mass energy of $\sqrt{s} =13$ TeV. For $\mathrm{DK}$ and $\mathrm{D^*K}$ pairs, the experimental results are in agreement with theoretical predictions of the residual strong interaction based on quantum chromodynamics calculations on the lattice and chiral effective field theory. In the case of $\mathrm{D}\pi$ and $\mathrm{D^*}\pi$ pairs, tension between the calculations including strong interactions and the measurement is observed. For all particle pairs, the data can be adequately described by Coulomb interaction only, indicating a shallow interaction between charm and light-flavor mesons. Finally, the scattering lengths governing the residual strong interaction of the $\mathrm{D}\pi$ and $\mathrm{D^*}\pi$ systems are determined by fitting the experimental correlation functions with a model that employs a Gaussian potential. The extracted values are small and compatible with zero

Exclusive four pion photoproduction in ultraperipheral Pb-Pb collisions at sNN=5.02\sqrt{s_{\rm NN}} = 5.02 TeV

International audienceThe intense photon fluxes from relativistic nuclei provide an opportunity to study photonuclear interactions in ultraperipheral collisions. The measurement of coherently photoproduced $\pi^+\pi^-\pi^+\pi^-$ final states in ultraperipheral Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$ TeV is presented for the first time. The cross section, d$\sigma$/d$y$, times the branching ratio ($\rho\rightarrow \pi^+ \pi^+ \pi^- \pi^-$) is found to be $47.8\pm2.3~\rm{(stat.)}\pm7.7~\rm{(syst.)}$ mb in the rapidity interval $|y| < 0.5$. The invariant mass distribution is not well described with a single Breit-Wigner resonance. The production of two interfering resonances, $\rho(1450)$ and $\rho(1700)$, provides a good description of the data. The values of the masses ($m$) and widths ($\Gamma$) of the resonances extracted from the fit are $m_{1}=1385\pm14~\rm{(stat.)}\pm3~\rm{(syst.)}$ MeV/$c^2$, $\Gamma_{1}=431\pm36~\rm{(stat.)}\pm82~\rm{(syst.)}$ MeV/$c^2$, $m_{2}=1663\pm13~\rm{(stat.)}\pm22~\rm{(syst.)}$ MeV/$c^2$ and $\Gamma_{2}=357 \pm31~\rm{(stat.)}\pm49~\rm{(syst.)}$ MeV/$c^2$, respectively. The measured cross sections times the branching ratios are compared to recent theoretical predictions

Measurement of beauty-quark production in pp collisions at s=13\sqrt{s}=13 TeV via non-prompt D mesons

International audienceThe $p_{\rm T}$-differential production cross sections of non-prompt ${\rm D^0}$, ${\rm D^+}$, and ${\rm D_s^+}$ mesons originating from beauty-hadron decays are measured in proton$-$proton collisions at a centre-of-mass energy $\sqrt{s}$ of 13 TeV. The measurements are performed at midrapidity, $|y| < 0.5$, with the data sample collected by ALICE from 2016 to 2018. The results are in agreement with predictions from several perturbative QCD calculations. The fragmentation fraction of beauty quarks to strange mesons divided by the one to non-strange mesons, $f_{\rm{s}}/(f_{\rm{u}} + f_{\rm{d}})$, is found to be $0.114 \pm 0.016~{\rm (stat.)} \pm 0.006~{\rm (syst.)} \pm 0.003~{\rm (BR)} \pm 0.003~{\rm (extrap.)}$. This value is compatible with previous measurements at lower centre-of-mass energies and in different collision systems in agreement with the assumption of universality of fragmentation functions. In addition, the dependence of the non-prompt D meson production on the centre-of-mass energy is investigated by comparing the results obtained at $\sqrt{s} = 5.02$ and 13 TeV, showing a hardening of the non-prompt D-meson $p_{\rm T}$-differential production cross section at higher $\sqrt{s}$. Finally, the ${\rm b\overline{b}}$ production cross section per unit of rapidity at midrapidity is calculated from the non-prompt ${\rm D^0}$, ${\rm D^+}$, ${\rm D_s^+}$, and $\Lambda_{\rm c}^+$ hadron measurements, obtaining ${\rm d}\sigma/{\rm d}y = 75.2\pm 3.2~(\mathrm{stat.}) \pm 5.2~(\mathrm{syst.})^{+12.3}_{-3.2} ~(\mathrm{extrap.})\text{ } \rm \mu b \;.