Deployment of serious gaming approach for safe and sustainable mobility

Dange, Gautam Ravindra; Paranthaman, Pratheep Kumar; Bellotti, Francesco; Berta, Riccardo; Gloria, Alessandro De; Raffero, Mattia; Neumeier, Stefan

doi:10.1109/ivs.2017.7995879

Cited by 9 publications

(4 citation statements)

References 11 publications

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“…A Machine Learning (ML) approach could be tested to automatically generate the fuzzy rules. More complex models could be designed, including other variables representative of the driving pattern not provided by the OBD-II interface, such as acceleration and deceleration, that could be considered by exploiting inertial sensors available in cellular phones (e.g., [5]). The effect of external influences should be considered as well, such as time of the day, state of the road, and weather.…”

Section: Discussionmentioning

confidence: 99%

“…It does not include some other inputs that affect human driving behaviour and hence influence FC such as acceleration and brake pedal pressure. This limitation might be overcome by carefully including synchronized signals from other devices, such as cellular phones, that include inertial sensors (accelerometer, gyroscope, magnetometer [5][61] [62]).…”

Section: State Of the Artmentioning

confidence: 99%

“…Decreasing fuel consumption (FC) would save money and energy. As driving style is a controllable factor for FC [2], serious games (SGs)games with a purpose different from pure entertainmenthave been developed in order to improve the driving behaviour (e.g., [3][4] [5]). High quality SGs are typically designed to transfer knowledge and skills, from game-play to real life [6] [7].…”

Section: Introductionmentioning

confidence: 99%

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A Fuzzy Logic Module to Estimate a Driver’s Fuel Consumption for Reality-Enhanced Serious Games

Massoud¹,

Poslad²,

Bellotti³

et al. 2018

IJSG

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Reality-enhanced gaming is an emerging serious game genre, that could contextualize a game within its real instruction-target environment. A key module for such games is the evaluator, that senses a user performance and provides consequent input to the game. In this project, we have explored an application in the automotive field, estimating driver performance in terms of fuel consumption, based on three key vehicular signals, that are directly controllable by the driver: throttle position sensor (TPS), engine rotation speed (RPM) and car speed. We focused on Fuzzy Logic, given its ability to embody expert knowledge and deal with incomplete information availability. The fuzzy models – that we iteratively defined based on literature expertise and data analysis – can be easily plugged into a reality-enhanced gaming architecture. We studied four models with all the possible combinations of the chosen variables (TPS and RPM; RPM and speed; TPS and speed; TPS, speed and RPM). Input data were taken from the enviroCar database, and our fuel consumption predictions compared with their estimated values. Results indicate that the model with the three inputs outperforms the other models giving a higher coefficient of determination (R2), and lower error. Our study also shows that RPM is the most important fuel consumption predictor, followed by TPS and speed.

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Section: Discussionmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Fuzzy Logic Module to Estimate a Driver’s Fuel Consumption for Reality-Enhanced Serious Games

Massoud¹,

Poslad²,

Bellotti³

et al. 2018

IJSG

Self Cite

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“…A serious game developed with an app to foster the use of sustainable transport mode as an alternative to private car, based on regular itineraries is proposed in [18]. The use of this approach is suggested by [19] to increase safe and sustainable mobility, and by [20] to improve transport maintenance and operations. Another approach is implemented in [21] with the use of gamification in a flexible transportation service for on-demand public transport.…”

Section: Introductionmentioning

confidence: 99%

A Serious Game Approach for the Electro-Mobility Sector

Silvestri

Rinaldi

Berardi

et al. 2019

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

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Serious Games (SGs) represent a new approach to improve learning processes more effectively and economically than traditional methods. This paper aims to present a SG approach for the electro-mobility context, in order to encourage the use of electric light vehicles. The design of the SG is based on the typical elements of the classic "game" with a real gameplay with different purposes. In this work, the proposed SG aims to raise awareness on environmental issues caused by mobility and actively involve users, on improving livability in the city and on real savings using alternative means to traditional vehicles. The objective of the designed tool is to propose elements of fun and entertainment for tourists or users of electric vehicles in the cities, while giving useful information about the benefits of using such vehicles, discovering touristic and interesting places in the city to discover. In this way, the user is stimulated to explore the artistic and historical aspects of the city through an effective learning process: he/she is encouraged to search the origins and the peculiarities of the monuments. A case study in the city of Bari, Italy, shows the application of the proposed SG tool. *This work is a part of the ELVITEN project. ELVITEN has received funding from the European Union's Horizon 2020 research & innovation programme under Grant Agreement no 769926. Content reflects only the authors' view and European Commission is not responsible for any use that may be made of the information it contains.

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