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)

Video: H2020 AVENUE Geneva TPG Operator Experience

Meet Melissa, a Transports Publics Genevois (TPG) operator in Geneva and learn about her experience with the operation of the deployed autonomous shuttles in her city.

Event: The 6th AVENUE General Meeting

On the 29th and 30th of October 2020, the AVENUE consortium held the 6th General Meeting of the project on the Zoom video conferencing platform. Various topics were discussed including the integration of the 2 new replication sites.

A life on-line demo from TPG, at the under development Belle-Idee site, showed us that autonomous vehicles for door-to-door public transport are practically there.

Announcement: Holo shuttles reached milestone of 50.000 driven km

Thumbs up to AVENUE partner Holo for reaching the milestone of 50.000 driven km with the shuttles this week!

Event: AVENUE @ European Commission’s Urban Mobility Days 2020

On the 1st of October 2020, Prof. Dimitri Konstantas (H2020 AVENUE Coordinator) presented the project at the European Commission’s Urban Mobility Days 2020.

Program and slides can be found at:

Video of AVENUE’s presentation at the event can be found below:

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)

Video: Holo’s self-driving bus in Copenhagen’s Nordhavn district

As part of the EU-funded H2020 AVENUE Project, Holo offers a self-driving bus in Copenhagen’s Nordhavn district. The route of 6 stops around Århusgade will be operating between August 2020-April 2022. Hop on the 100% electric autonomous shuttle on weekdays, 10 AM to 5 PM, absolutely free of charge! Check out the H2020 AVENUE Autonomous Shuttle route in Nordhavn, Copenhagen here:

Announcement: Holo launching autonomous minibus in Nordhavn, Copenhagen on 3rd of August!

AVENUE Project partner Holo will be launching an autonomous minibus in Nordhavn, Copenhagen on 3rd of August! The citizens of Copenhagen can hop on the offered route with 6 stops on weekdays between 10 and 17!