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Data-Driven Eco-Mobility Planning: An ITS Framework for Batna’s Urban Transport System

Publisher: IEEE

Authors: Solyman Ahmed, United Kingdom;Department of Engineering; Glasgow Caledonian University; Glasgow

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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

Published in: 2024 Asian Conference on Communication and Networks (ASIANComNet)

Date of Publication: --

DOI: -

Publisher: IEEE

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