Data-Driven Eco-Mobility Planning: An ITS Framework for Batna’s Urban Transport System
ID:104 View Protection:ATTENDEE Updated Time:2025-12-23 13:12:19 Hits:322 Online

Start Time:2025-12-30 14:45(Asia/Amman)

Duration:15min

Session:S2 Track 2: IoT and applications » S2-2Track 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
Lecturer United Kingdom;Department of Engineering; Glasgow Caledonian University; Glasgow

Submission Author
Ahmed Solyman United Kingdom;Department of Engineering; Glasgow Caledonian University; Glasgow
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Important Date
  • Conference Date

    Dec 29

    2025

    to

    Dec 31

    2025

  • Dec 20 2025

    Draft paper submission deadline

  • Dec 31 2025

    Contribution Submission Deadline

  • Dec 31 2025

    Registration deadline

Sponsored By
United Societies of Science
Organized By
Zarqa University
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