Forecasting Delivery Pattern through Floating Car Data: Empirical Evidence

Comi, Antonio; Polimeni, Antonio

doi:10.3390/futuretransp1030038

Cited by 11 publications

(5 citation statements)

References 44 publications

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“…This phenomenon is the cause of the current explosion in urban freight publishing, both for shopping (e.g., [15,16]) and for delivery travels (e.g., [17,18]). Among these, there are studies focused on emerging technologies [19,20] or on the use of ecofriendly vehicles [21][22][23]. Studies that concentrate on service traffic, however, are less common, and can rely on trip generation [24], trip attraction [25], and parking [26].…”

Section: The Service Tripsmentioning

confidence: 99%

Assessing the Opportunity Offered by Electric Vehicles in Performing Service Trips to End Consumers

Comi,

Polimeni,

Belcore

et al. 2024

Applied Sciences

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This paper proposes the assessment of the impacts of using electric vehicles for urban service trips. In particular, the focus is on trips performed for delivering and installing products, as well as for reverse logistics. Such components of commercial traffic in urban areas have not received the level of attention it deserves. In fact, recent research on commercial traffic mainly deals with shop restocking, service visits to establishments and e-commerce deliveries, and limited attention has been paid to the service sector (e.g., installation, maintenance, repairs) which can have a high impact on city sustainability in terms of pollution emissions, congestion as well as land use for parking. Furthermore, pushed by the current trend towards the promotion of electric vehicles, an assessment is developed comparing potential service patterns using real data from the inner area of Rome (Italy) when the electric fleet replaces the traditional one. Results show the opportunity to decouple the delivery operation from the installation one, and to integrate service with reverse logistics. These significant results could address the adoption of suitable integrated urban policies to make the most of the opportunities arising from the use of electric vehicles.

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Section: The Service Tripsmentioning

confidence: 99%

Assessing the Opportunity Offered by Electric Vehicles in Performing Service Trips to End Consumers

Comi,

Polimeni,

Belcore

et al. 2024

Applied Sciences

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“…Precise data of the movements of freight vehicles and goods using new technologies (e.g., vehicles sensors) can be collected in a very large amount. For example, GPS (global position systems) historical data can be saved creating a very large data set, tendentially big (Antoniou et al, 2018;Comi and Polimeni, 2021;Nigro et al, 2022). Mehmood et al (2017) demonstrated how big data can be used to improve transport efficiency and lower externalities.…”

Section: Big Datamentioning

confidence: 99%

“…Therefore, the possibility given by the e-ICTs can move from fleet tracing (Comi and Polimeni, 2021), which allow companies to monitor and find out the gaps in statutory and regulatory requirements as well as to process real-time information on weather conditions, roadblocks, traffic congestion, or to plan a fuel-saving route. Therefore, ITSs, and more in general ICTs, include opportunity for each private (i.e., transport and logistics operators, retailers, and end consumers) or public actor (i.e., public administrations) to increase their own utility.…”

Section: Introductionmentioning

confidence: 99%

Emerging Information and Communication Technologies: the Challenges for the Dynamic Freight Management in City Logistics

Comi

Russo

2022

Front. Future Transp.

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Recently, the evolution of emerging information and communication technologies (e-ICTs) has opened the road for developing and implementing new integrated and dynamic city logistics solutions and subsequently for identifying new frontiers of intelligent transport systems (ITSs). The study evolves pointing out the different city logistics groups of actors and their reciprocal interactions in relation to the considered new technologies (i.e., internet of things, block chain, big data, and artificial intelligence), which allow actors to increase their utility exploiting the advancement of current intelligent transport systems. The changes in the generalized path costs supported by each stakeholder are explored, and the modifications guided by e-ICTs are analyzed. The learning process due to the update for within-day and day-to-day dynamics is detailed and formalized. In this way, the current formulation of the classical transport problem (vehicle routing and scheduling) and the new one (pushed from the growth of ecommerce, i.e., courier routing) are explored under the light of the new knowledge derived from the use of e-ICTs. Novelty of the study mainly comprises the analysis of each emerging ICT group and of the formalization, in the classical transport system models (TSM), of the new knowledge for each actor group.

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“…In this paper, authors describe a Dijkstra algorithm-based system to calculate the shortest route in a parking lot environment. And the paper in [33] investigates the opportunities offered by FCD to infer the number of delivering activities per tour with light good vehicles. The technology background adopts vehicle to everything (V2X) and driverless technologies.…”

Section: Literature Reviewmentioning

confidence: 99%

A Long-Distance Smart Driving Service Based on Floating Car Data and Open Data

et al. 2022

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The purpose of this manuscript is to present the Smart Driving Service (SDS), a customized mobile application and a complex microservices framework that is intended for not only professional drivers but also for novel people that need help during the driving time in their long-distance journeys. The European regulation about driving times, breaks and rest periods for drivers engaged in the carriage of freight is implemented into the system. Additionally, it is necessary to have a feedback report to detect the behavior of the drivers and what to do differently to drive better. This issue is addressed by implementing a Route Performance Index (RPI) to measure the drivers' compliances. The proposed service has been running in a production stage for 6 months with a reduction of the consumption of 2 liters/100km. Having into account that the company runs more than 100M km per year, the savings in fuel is very relevant apart from the environment impact reduction.

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Forecasting Delivery Pattern through Floating Car Data: Empirical Evidence

Cited by 11 publications

References 44 publications

Assessing the Opportunity Offered by Electric Vehicles in Performing Service Trips to End Consumers

Assessing the Opportunity Offered by Electric Vehicles in Performing Service Trips to End Consumers

Emerging Information and Communication Technologies: the Challenges for the Dynamic Freight Management in City Logistics

A Long-Distance Smart Driving Service Based on Floating Car Data and Open Data

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