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Integration of Autonomous Traffic Systems for Urban Mobility and Urban Planning: Developing Policy Frameworks for Smart City
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Author(s): Saurabh Chandra (Bennett University, India)
Copyright: 2025
Pages: 16
Source title:
Machine Learning and Robotics in Urban Planning and Management
Source Author(s)/Editor(s): Kamalesh Ravesangar (Tunku Abdul Rahman University of Management and Technology, Malaysia), Christian Kaunert (Dublin City University, Ireland & University of South Wales, UK), Bhupinder Singh (Sharda University, India), Sahil Lal (Galgotias University, Greater Noida, India)and Manmeet Kaur Arora (Sharda University, India)
DOI: 10.4018/979-8-3693-9410-6.ch004
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Abstract
Autonomous vehicles (AVs) hold the potential to disrupt transportation in urban areas, delivering significant benefits including increased safety, mobility efficiency, and sustainability. This chapter looks at the implications AV technology has on urban planning and development as a whole with a closer look at potential safety concerns, issues of cyber security and the require for strong regulatory frameworks in the face of fast-paced change. It emphasizes the need for safety by design principles and robust verification practices to ascertain the reliability of AV systems. The chapter takes account of cybersecurity threats due to malware and data privacy issues stemming from mass data acquisition that is part of AV functionality. This explores different approaches to integrating AVs into the urban ecosystem while highlighting the importance of public-private partnerships and community involvement in building trust and acceptance.
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