Impact of Driverless Vehicles on Urban Environment and Future Mobility

Agriesti, Serio; Brevi, Fausto; Gandini, Paolo; Marchionni, Giovanna; Parmar, Rahul; Ponti, Marco; Studer, Luca

doi:10.1016/j.trpro.2020.09.005

Cited by 17 publications

(8 citation statements)

References 11 publications

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“…However, several names and terms have been used for vehicles with automation capability. 'Driverless' (e.g., [17]), 'self-driving' (e.g., [8]), 'autonomous' (e.g. [9], [18][19][20]) and 'automated' (e.g.…”

Section: Terms Definitions and Standardizationmentioning

confidence: 99%

The Emergence of Automated Vehicles and their Potential Implications for Urban Mobility: A Review of the Literature and Synthesis of Use Cases

Beza¹,

Koutra²,

John³

et al. 2022

Preprint

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Automated vehicles (AVs), which are expected to enter the market within the near future, represent the current frontiers in mobility and urban planning. AVs are assumed to bring substantial benefits to cities in many aspects. The present study attempts to investigate this broad assumption by conducting a literature review on the possible implications of AVs in cities as well as synthesizing the current state of practice of AV pilots to detect trends in their deployment. In this paper, literature findings on AVs’ implication on vehicle ownership, mobility, land use as well thirteen uses cases were synthesized to capture the big picture of them in cities. The findings showed that, in the AV pilots, the operation of AVs is limited to routes stretching less than 3.5km and an operation speed of less than 18km/h; low speed has been one of the main concerns of the participating passengers to use them for daily trips. The results also revealed that although shared AVs are expected in urban mobility, private ownership will stay competitive since vehicle ownership has been a socio-cultural identity in the history of automobiles. The findings also underlined that the potential influence of AVs on active mobility is still unclear as the AVs have not been introduced on a larger scale. Regarding AVs’ impact on land use, their introduction results in the effective use of space, but they will cause suburbanization in the long term.

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Section: Terms Definitions and Standardizationmentioning

confidence: 99%

The Emergence of Automated Vehicles and their Potential Implications for Urban Mobility: A Review of the Literature and Synthesis of Use Cases

Beza¹,

Koutra²,

John³

et al. 2022

Preprint

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show abstract

“…-digital technologies in logistics [3][4][5][6][7][8]; -autonomous vehicles [9][10][11][12]; -transport information systems [13][14][15].…”

Section: Theorymentioning

confidence: 99%

Directions for the implementation of information technologies in transport

et al. 2021

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“…Due to human limitations, a more thorough analysis based on subjective judgement alone is not possible. As technology develops, unmanned vehicles are beginning to enter people's lives [1], However, driverless car technology for environmental awareness and road decision making [2]is not perfect, and the risk of road accidents [3] remains high. Therefore, there is a need for simulated risk assessment feedback and optimal decision [4] making on real-time data using risk feedback techniques supported by wireless networking technology [5], Enabling driverless cars to react quickly in uncertain environments to ensure passenger safety.…”

Section: Introductionmentioning

confidence: 99%

Research on decision system for driverless vehicles in uncertain environments

Feng,

Fang,

Zhang

2024

International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023)

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This paper addresses the technical problem of driverless vehicles making different decisions when encountering uncertain environments while driving, In terms of road condition detection, risk feedback, behavioral decision making and path planning, the use of vehicle wireless networking technology and model fusion technology improves the stability of data transmission, road detection and decision making for driverless vehicles; Using Matlab simulation, simulation experiments and data analysis, it was found that risk feedback is a good tool for behavioral decision making in driverless vehicles, Creation of favorable conditions for real-time monitoring of the driving process and improved efficiency of simulation planning, To support accurate decision making when vehicles are at risk and to prove the reliability of the experiment, Improving the instability of conventional unmanned driving and informing behavioral decisions for driverless vehicles.

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Impact of Driverless Vehicles on Urban Environment and Future Mobility

Cited by 17 publications

References 11 publications

The Emergence of Automated Vehicles and their Potential Implications for Urban Mobility: A Review of the Literature and Synthesis of Use Cases

The Emergence of Automated Vehicles and their Potential Implications for Urban Mobility: A Review of the Literature and Synthesis of Use Cases

Directions for the implementation of information technologies in transport

Research on decision system for driverless vehicles in uncertain environments

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