Video: Using the autonomous mini-bus service in Belle-Idee
A fully operational public transportation service, 100% automated, with no human intervention, is now running at the Belle-Idee site in Geneva operated by TPG
Event: AVENUE Presentation and Virtual Exhibition Stand @ EUCAD 2021
On the 22nd of April 2021 Prof. Dimitri Konstantas (AVENUE Coordinator) has presented the AVENUE project results at the third European Conference on Connected and Automated Driving (EUCAD 2021). The presentation was titled “Deployment of public transportation services with autonomous vehicles: Lessons learnt from the Belle-Idée site”
Furthermore, the AVENUE consortium has also organized a virtual exhibition stand presenting various results of the project.
New scientific article: How to measure the impacts of shared automated electric vehicles on urban mobility
Abstract: How to measure the impacts of shared automated electric vehicles on urban mobility? A scientific article, published in “Transportation Research Part D: Transport and Environment”, presents findings from the AVENUE project and proposes a method to measure the impacts of Shared Automated Electric Vehicles on mobility through a sustainability assessment. The arrival of new technologies and innovations on mobility, such as automated vehicles, creates opportunities to tackle urban challenges. The evaluation of the impacts of these innovations on the mobility system requires a comprehensive set of criteria and parameters. This article proposes a method to measure the impacts of Shared Automated Electric Vehicles (SAEV) on mobility through a sustainability assessment. Based on an integrative literature study and on the context of AVENUE, a European project deploying automated shuttles in the public transport of European cities, a set of indicators is defined. These mobility indicators assess the social, environmental, economic, governance, and technical impacts of SAEV. The multiple dimensions of the mobility indicators contribute to filling gaps of knowledge about the performance of SAEV. The proposed method allows an evaluation and comparison of SAEV to other means of transport and thus strengthens scientifically based recommendations for transportation policies.How to measure the impacts of shared automated electric vehicles on urban mobility? A scientific article, published in “Transportation Research Part D: Transport and Environment”, presents findings from the AVENUE project and proposes a method to measure the impacts of Shared Automated Electric Vehicles on mobility through a sustainability assessment.
How to measure the impacts of shared automated electric vehicles on urban mobility
Eliane Horschutz Nemoto, Roukaya Issaoui, Dorien Korbee, Ines Jaroudi, Guy Fournier
Journal: Transportation Research Part D: Transport and Environment
Date: 18 March 2021, DOI: 10.1016/j.trd.2021.102766
Download: Publisher’s version (Gold Open Access)
New Scientific Article: Autonomous shuttles for collective transport: a worldwide benchmark
Abstract: The present study aimed at performing a comprehensive benchmark on experimentations with autonomous shuttles for collective transport. Data was collected online on both academic and grey literature yielding a research corpus of 176 experimentations. Results show a European lead on both the number of experimentations and manufacturers. The majority of the deployments were aimed towards public transportation being short to mid-term trials, mainly offered free of charge to users. Regular-line transport was the prevailing operational mode adopted, meanwhile, on-demand services were present but incipient, mainly due to legal barriers as well as technological and infrastructural constraints. Eight main typologies of uses able to fulfil both private and public transport offerings were identified, being either focused on solving first- and last-mile issues or microtransit commute. At last, the main common stakeholders were identified, as well as how different forms of value are created and distributed among them.
Autonomous shuttles for collective transport: a worldwide benchmark
Fabio Antonialli
Journal: International Journal of Automotive Technology and Management
Date: 22 February 2021, DOI: 10.1504/IJATM.2021.113349
Download: Publisher’s version (Subscription required) | Author’s version (Green Open Access)
New Scientific Article: Robomobility for collective transport: a prospective user centric view
Abstract: Public transport may be undergoing an important transformation following the arrival of autonomous vehicles. Researchers, think thanks as well as consulting companies have designed many scenarios based on trend analysis of three main dimensions: technology, regulations and uses. The user level of acceptance for autonomous driving represents a key point for any prospective study. Therefore, this article aimed at proposing a use case daily scenario by focusing on the user. We analyse more specifically the implementation of autonomous vehicles for micro transit and commuting by studying user opinions via two field surveys. Discussion with users help us to build and test a use cases scenario and to picture personas whose characters will allow decision makers to better figure out the conditions to leverage the citizens level of acceptance for robomobility.
Robomobility for collective transport: a prospective user centric view
Sylvie Mira Bonnardel
Journal: International Journal of Automotive Technology and Management
Date: 22 February 2021, DOI: 10.1504/IJATM.2021.113353
Download: Publisher’s version (Subscription required) | Author’s version (Green Open Access)
Research Video: Safety In-Vehicle Services
Are we vulnerable to petty crimes in autonomous shuttles? Check the demonstration of the in-vehicle services providing advanced security and trust developed by H2020 AVENUE partner CERTH-ITI here:
New Scientific Article: Introducing Automated Shuttles in the Public Transport of European Cities: The Case of the AVENUE Project
Abstract: Our current mobility paradigm has reached a tipping point. Individual mobility, based on cheap fossil fuel and high CO2 emissions no longer meet the needs posed by a globally increasing demand for passenger mobility, neither corresponds to the climate agenda.
In this regard, innovations and technologies play an important role to shape the future mobility and provide solutions for more efficient, affordable, accessible, and sustainable mobility in cities.
This paper aims to explore how innovations on mobility, such as shared automated electric vehicles (SAEV) can contribute to a positive change in the mobility paradigm and sustainable mobility, and to this end, which are the current obstacles to be overcome and the key factors related to SAEV’s deployment. Thereby, it presents the case of the Autonomous Vehicles to Evolve to a New Urban Experience – ‘AVENUE’, a European project that has implemented pilot trials to test automated shuttles within the public transport of Lyon, Geneva, Luxembourg, and Copenhagen.
Based on primary data from the project and secondary data from AVENUE public reports, the study reports on the project implementation in the four cities and first learnings through obstacles and key factors to accelerate the deployment of automated shuttles in cities. It contributes to the discussion on technical & operational, social, and legal obstacles as well as key elements in the deployment of automated shuttles.
Introducing Automated Shuttles in the Public Transport of European Cities: The Case of the AVENUE Project
Eliane Horschutz Nemoto, Ines Jaroudi, Guy Fournier
Book: Advances in Intelligent Systems and Computing, Advances in Mobility as a Service Systems”
Date: 4 November 2020, DOI: 10.1007/978-3-030-61075-3_27
* Note: This is an extended version of the conference paper in CSUM2020
Download: Publisher’s version (Subscription required) | Author’s version (Green Open Access)
New Scientific Article: Audio-Based Event Detection at Different SNR Settings Using Two-Dimensional Spectrogram Magnitude Representations
Abstract: Audio-based event detection poses a number of different challenges that are not encountered in other fields, such as image detection. Challenges such as ambient noise, low Signal-to-Noise Ratio (SNR) and microphone distance are not yet fully understood. If the multimodal approaches are to become better in a range of fields of interest, audio analysis will have to play an integral part. Event recognition in autonomous vehicles (AVs) is such a field at a nascent stage that can especially leverage solely on audio or can be part of the multimodal approach. In this manuscript, an extensive analysis focused on the comparison of different magnitude representations of the raw audio is presented. The data on which the analysis is carried out is part of the publicly available MIVIA Audio Events dataset. Single channel Short-Time Fourier Transform (STFT), mel-scale and Mel-Frequency Cepstral Coefficients (MFCCs) spectrogram representations are used. Furthermore, aggregation methods of the aforementioned spectrogram representations are examined; the feature concatenation compared to the stacking of features as separate channels. The effect of the SNR on recognition accuracy and the generalization of the proposed methods on datasets that were both seen and not seen during training are studied and reported.
Audio-Based Event Detection at Different SNR Settings Using Two-Dimensional Spectrogram Magnitude Representations
Ioannis Papadimitriou, Anastasios Vafeiadis, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras
Journal: Electronics
Date: 29 September 2020, DOI: 10.3390/electronics9101593
Download: Publisher’s version (Gold Open Access)
New Scientific Article: Autonomous Vehicles toward a Revolution in Collective Transport
Abstract: Autonomous public transport is not a fantasy anymore. At least 92 experimentations with autonomous shuttles for collective transport (ASCTs) have been running in different cities around the world. The deployment of autonomous shuttles opens up a wide range of possibilities in rethinking urban mobility, with a greater focus on users, new services, and reduced urban traffic congestion. The prospective analysis of these possibilities produces original, innovative forecasts with new scenarios for ASPT based on three strong drivers of change, i.e., technological innovation, new mobility behavior, and new business models for public transport. Furthermore, the deployment of ASCTs will considerably modify costs of urban externalities and extend inclusion. The chapter presents how the implementation of autonomous shuttles may revolutionize the public transport.
Autonomous Vehicles toward a Revolution in Collective Transport
Sylvie Mira Bonnardel, Fabio Antonialli and Danielle Attias
Book: Autonomous Vehicle and Smart Traffic
Date: 9 September 2020, DOI: 10.5772/intechopen.89941
Download: Publisher’s version (Gold Open Access)
New Scientific Article: Real-Time Abnormal Event Detection for Enhanced Security in Autonomous Shuttles Mobility Infrastructures
Abstract: Autonomous vehicles (AVs) are already operating on the streets of many countries around the globe. Contemporary concerns about AVs do not relate to the implementation of fundamental technologies, as they are already in use, but are rather increasingly centered on the way that such technologies will affect emerging transportation systems, our social environment, and the people living inside it. Many concerns also focus on whether such systems should be fully automated or still be partially controlled by humans. This work aims to address the new reality that is formed in autonomous shuttles mobility infrastructures as a result of the absence of the bus driver and the increased threat from terrorism in European cities. Typically, drivers are trained to handle incidents of passengers’ abnormal behavior, incidents of petty crimes, and other abnormal events, according to standard procedures adopted by the transport operator. Surveillance using camera sensors as well as smart software in the bus will maximize the feeling and the actual level of security. In this paper, an online, end-to-end solution is introduced based on deep learning techniques for the timely, accurate, robust, and automatic detection of various petty crime types. The proposed system can identify abnormal passenger behavior such as vandalism and accidents but can also enhance passenger security via petty crimes detection such as aggression, bag-snatching, and vandalism. The solution achieves excellent results across different use cases and environmental conditions.
Real-Time Abnormal Event Detection for Enhanced Security in Autonomous Shuttles Mobility Infrastructures
Dimitris Tsiktsiris, Nikolaos Dimitriou, Antonios Lalas, Minas Dasygenis, Konstantinos Votis, Dimitrios Tzovaras
Journal: Sensors
Date: 1 September 2020, DOI: 10.3390/s20174943
Download: Publisher’s version (Gold Open Access)
Demonstrator & Replicator sites
EU PROGRAM
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement no 769033.