Project Details

Layman's description

ELABORATOR uses a holistic approach for planning, designing, implementing and deploying specific innovations and interventions towards safe, inclusive and sustainable urban mobility. These interventions, consist of smart enforcement tools, space redesign and dynamic allocation, shared services, and integration of active and green modes of transportation. They will be specifically co-designed and co-created with identified “vulnerable to exclusion” user groups, local authorities and relevant stakeholders. The interventions will be demonstrated in 6 Lighthouse and 6 Follower cities across Europe with three principal aims: i) to collect, assess and analyse user needs and requirements towards a safe and inclusive mobility and climate neutral cities; ii) to collect and share rich information sets made of real data, traces from dedicated toolkits, users’ and stakeholders’ opinions among the cities, so as to increase the take up of the innovations via a twinning approach and iii) to generate detailed guidelines, policies, future roadmap and built capacity for service providers, planning authorities and urban designers for the optimum integration of such inclusive and safe mobility interventions into Sustainable Urban Mobility Plans (SUMPs). The Lighthouse cities are: Milan (Italy), Copenhagen (Denmark), Helsinki (Finland), Issyles-Moulineaux (France), Zaragoza (Spain) and Trikala (Greece). The Follower cities are Lund (Sweden), Liberec (Czech Republic), Velejne (Slovenia), Ioannina (Greece), Split (Croatia) and Krusevac (Serbia)
StatusActive
Effective start/end date1/06/2330/11/26

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  • GenGradAttack: Efficient and Robust Targeted Adversarial Attacks Using Genetic Algorithms and Gradient-Based Fine-Tuning

    Agarwal, N. & Pope, J., 26 Feb 2024, Proceedings of the 16th International Conference on Agents and Artificial Intelligence: ICAART. Rocha, A. P., Steels, L. & van den Herik, J. (eds.). SciTePress, Vol. 3. p. 202-209 8 p. (ICAART - International Conference on Agents and Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Open Access
    File
    1 Citation (Scopus)
    174 Downloads (Pure)
  • Spatial-Temporal Graph Neural Network for the Detection of Container Escape Events

    Guo, Y. & Pope, J., 26 Feb 2024, Proceedings of the 16th International Conference on Agents and Artificial Intelligence: ICAART. Rocha, A. P., Steels, L. & van den Herik, J. (eds.). SciTePress, Vol. 3. p. 326-333 8 p. (ICAART - International Conference on Agents and Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Open Access
    File
    1 Citation (Scopus)
    170 Downloads (Pure)