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Data-Driven Eco-Mobility Planning: An ITS Framework for Batna’s Urban Transport System
ID：104 View protection：Participant Only Updated time：2025-12-23 13:12:19 Views：106 Online

Start Time：2025-12-30 14:45

Duration：15min

Session：[S2] Track 2: IoT and applications [S2-2] Track 2: IoT and applications

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Abstract
This study examines Batna’s urban mobility problems and proposes a data-driven eco-mobility framework using Intelligent Transportation Systems (ITS). It combines field observations with traffic-flow analysis on National Road 77 between the city center and Hamla extension. Results reveal severe congestion, with peak flows reaching 49.2% of capacity, reflecting heavy dependence on private cars and weak public transport. To address this, the paper proposes an integrated plan built on: (1) urban redevelopment with smart materials, (2) an ITS-supported multimodal system including hybrid buses and a tramway, and (3) smart green infrastructure. The strategy is expected to cut congestion, lower environmental impacts, and improve transport efficiency. Overall, the study argues that an ITS-based integrated approach can transform mobility in Batna and serve as a model for similar semi-arid cities, supporting SDG 11 by enabling cleaner, inclusive urban transport.
Keywords
Eco mobility, Intelligent transport system, elec- tric vehicle, urban sustainability, accessibility
Speaker
Ahmed Solyman
United Kingdom；Department of Engineering； Glasgow Caledonian University； Glasgow

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Important Dates

  • Conference date

    12-29

    2025

    -

    12-31

    2025

  • 12-30 2025

    Presentation submission deadline

  • 02-10 2026

    Draft paper submission deadline

  • 02-10 2026

    Registration deadline

Sponsored By

United Societies of Science

Organized By

扎尔卡大学

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