Smart mobility

Choudhry, Arnav

doi:10.1145/3522676

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…Traditionally, truck activity has been studied using logbooks and travel diaries. The increasing deployment of intelligent transportation technologies can provide many advantages over traditional methods such as being inexpensive to process at scale (Choudhry, 2022).…”

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Inferring truck activities using privacy-preserving truck trajectories data

Choudhry

Qian

2023

J. Int. Con. Veh.

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Global Navigation Satellite System (GNSS) data is an inexpensive and ubiquitous source of activity data. Global Positioning System (GPS) is an example of such data. Although there have been several studies about inferring device activity using GPS data from a consumer device, freight GPS data presents unique challenges for example having low and variable frequency, having long transmission gaps, and frequent and unpredictable device ID resetting for preserving privacy. This study aims to provide an end-to-end, generic data analytical framework to infer multiple aspects of truck activity such as stops, trips and tours. We use popular existing methods to construct the data processing pipeline and provide insights into their practical usage. We also propose improved data filters to different aspects of the data processing pipeline to address challenges found in privacy-preserving freight GPS data. We use freight data across four weeks from the greater Philadelphia region with variable transmission frequency ranging from one second to several hours to perform experiments and validate our methods. Our findings indicate that auxiliary information such as land use can be helpful in fine tuning stop inference,but spatio-temporal information contained in timestamped GPS pings is still the most powerful source of false stop identification. We also find that a combination of simple clustering techniques can provide a way to perform fast and reasonable clustering of the same stop.

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Inferring truck activities using privacy-preserving truck trajectories data

Choudhry

Qian

2023

J. Int. Con. Veh.

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An Assessment of Impacts and Challenges of Smart Mobilities in Tourism Destinations

Dias,

Mhango

2024

Future Tourism Trends Volume 2

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Success factors in smart mobility: a new framework and implications for the EuroMed context from case study of New York, Copenhagen, Singapore, Bari and Barcelona

Carpentiere,

Messeni Petruzzelli,

Ardito

2024

EMJB

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PurposeThe document underscores the need for systematic smart mobility policies to advance smart cities, addressing resource waste and environmental issues. Recognizing challenges in adopting efficient smart mobility, the paper seeks to fill a literature gap by identifying governance-related best practices and success factors. The objective is to develop a clear framework for smart mobility adoption with policy implications, especially for Euro-Mediterranean (EuroMed) Smart Cities, reducing congestion and costs while promoting sustainability through data-driven decision-making and integration models.Design/methodology/approachTo conduct the study, we adopt a multiple-case approach, examining different smart mobility applications in three of the world's most relevant smart city contexts according to international rankings, namely New York, Copenhagen and Singapore. Starting with the framework emerging from the research sample, which is representative of three different continents and cultures, a comparative assessment is then made with two EuroMed Smart Cities, highlighting their relative gaps.FindingsThe paper presents an innovative framework for smart mobility that highlights five key success factors. In addition to highlighting related gaps with a sample of EuroMed Smart Cities, it offers guidelines and implications for administrators, policy makers and mobility managers.Originality/valueThis success framework is a powerful tool, framework and guideline with numerous theoretical and managerial implications. Indeed, it directs policymakers, policymakers and mobility managers toward creating innovative business models for sustainable smart mobility, maximizing the efficiency of the centralized urban system, reducing negative externalities, breaking down barriers and pursuing greater efficiency, resilience and equity in the accessibility, mobility and sustainable livability of smart cities.

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Smart mobility

Abstract: Transportation is an essential component of living in smart cities, but what would mobility in smart cities look like? This article is an overview of the opportunities and challenges presented by smart mobility.

Cited by 4 publications

References 7 publications

Inferring truck activities using privacy-preserving truck trajectories data

Inferring truck activities using privacy-preserving truck trajectories data

An Assessment of Impacts and Challenges of Smart Mobilities in Tourism Destinations

Success factors in smart mobility: a new framework and implications for the EuroMed context from case study of New York, Copenhagen, Singapore, Bari and Barcelona

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