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[Online]Data-Driven Eco-Mobility Planning: An ITS Framework for Batna’s Urban Transport System
Data-Driven Eco-Mobility Planning: An ITS Framework for Batna’s Urban Transport System
ID：104
Submission ID：470 View Protection：ATTENDEE
Updated Time：2025-12-23 13:12:19 Hits：286
Online
Start Time：2025-12-30 14:45 （Asia/Amman）
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
Lecturer United Kingdom；Department of Engineering； Glasgow Caledonian University； GlasgowSubmission Author
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