Autonomous vehicles and freight traffic: towards better efficiency of road, rail or urban logistics?

Bucsky, Péter

doi:10.2478/udi-2018-0022

Cited by 16 publications

(9 citation statements)

References 21 publications

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“…The study also discussed some technologies that are used in AVs for different purposes, which are comparable to similar technologies that are used in ATs (see TABLE III). Bucsky [33] studied the existing condition of freight traffic and CAV applications in freight transportation. It was highlighted that the level of automation would vary from one mode of freight transportation to another.…”

Section: A Connected and Autonomous Vehicle Technologies And Their Applications For Autonomous Trainsmentioning

confidence: 99%

“…A number of challenges with the AT deployment were pointed out (e.g., introduction of the PTC system in the U.S. for freight railways only; disagreement of railroad unions to adaptation of one-person train crews), which can slow down rail automation if not addressed properly. 4 Bucsky (2018) [33] Study the existing condition of freight traffic and CAV applications in freight transportation.…”

Section: A Advantages From the Deployment Of Autonomous Trainsmentioning

confidence: 99%

“…As [150]. Some experts indicate that the cost of automation might be one of the main barriers for the future AT development and deployment [33].  Although the automation of rail transportation is viewed as less complicated to implement as compared to road transportation, the AT risk management issues do exist.…”

Section: B Challenges From the Deployment Of Autonomous Trainsmentioning

confidence: 99%

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Deployment of Autonomous Trains in Rail Transportation: Current Trends and Existing Challenges

et al. 2021

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Automation is expected to effectively address the growing demand for passenger and freight transportation, safety issues, human errors, and increasing congestion. The growth of autonomous vehicles using the state-of-the-art connected vehicle technologies has paved the way for the development of passenger and freight autonomous trains (ATs), also known as driverless trains. ATs are fully automated trains that are centrally controlled using advanced communication and internet technologies, such as highspeed internet (5G) technology, Internet of Things, dedicated short range communications, digital video detection cameras, and artificial intelligence-based methods. The current study focuses on a detailed up-todate review of the existing trends, technologies, advancements, and challenges in the deployment of ATs with a full automation level in rail transportation. The basic AT features along with the key technologies that are instrumental for the AT deployment and operations are discussed in detail. Furthermore, a comprehensive evaluation of the state-of-the-art research efforts is performed as well with a specific emphasis on the issues associated with the AT deployment, user perception and outlook for ATs, innovative concepts and models that could be used for the AT design, and the AT operations at highway-rail grade crossings. Based on the conducted review, this study determines the main advantages and challenges from the AT deployment. The identified challenges have to be collaboratively addressed by the relevant stakeholders, including railroad companies, researchers, and government representatives, to facilitate the AT development and deployment considering the perspectives of future users and without affecting the safety level.INDEX TERMS Autonomous trains, driverless trains, connected vehicles, autonomous vehicles, automation trends, automation challenges.

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Section: A Connected and Autonomous Vehicle Technologies And Their Applications For Autonomous Trainsmentioning

confidence: 99%

Section: A Advantages From the Deployment Of Autonomous Trainsmentioning

confidence: 99%

Section: B Challenges From the Deployment Of Autonomous Trainsmentioning

confidence: 99%

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Deployment of Autonomous Trains in Rail Transportation: Current Trends and Existing Challenges

et al. 2021

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“…This represents a substantial technological advance in the field of transportation [28] and is expected to play an important role in supporting the last mile logistics within intelligent transportation systems [29]. Bucsky [30] highlights that autonomous vehicles can navigate less efficiently than human driven trucks and special drop-off places should be created since parking for a longer period and lack of human communication with other drivers could generate traffic congestion in mixed fleet scenarios.…”

Section: Optimization and Scheduling Groupmentioning

confidence: 99%

The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review

et al. 2020

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Widespread adoption of green vehicles in urban logistics may contribute to the alleviation of problems such as environmental pollution, global warming, and oil dependency. However, the current adoption of green vehicles in the last mile logistics is relatively low despite many actions taken by public authorities to overcome the negative externalities of distributing goods in cities. This paper presents a comprehensive literature review on studies investigating the adoption of green vehicles in urban freight transportation, paying specific attention to e-commerce. To shed light on the adoption of green vehicles in city logistics, the paper conducts a systematic review of the empirical literature on the topic. The 159 articles reviewed were classified into the following: (a) Optimization and scheduling (67 papers); (b) policy (55 papers); (c) sustainability (37 papers). Among the 159 articles, a further selection of 17 papers dealing with e-commerce, i.e., studies that highlight the most relevant aspects related to the integration of green vehicles in e-commerce urban logistics, was performed. Our findings indicate that green vehicles are competitive in urban deliveries characterized by frequent stop-and-go movements and low consolidation levels while incentives are still necessary for their adoption. The use of autonomous vehicles results the most promising and challenging solution for last-mile logistics.

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“…(Meyer & Beiker, Road vehicle automation, 2014) [4], (Choromanski, Grabarek, Kowara, & Kaminski, "Personal Rapid Transit-Computer Simulation Results and General Design Principles", 2013) [5], (Chen & Li, Advances in intelligent vehicles, 2014) [6], (Bucsky, "Autonomous vehicles and freight traffic: towards better efficiency of road, rail or urban logistics? ", 2018) [7], (Wagner, "Traffic Control and Traffic Management in a Transportation System with Autonomous Vehicles", 2016) [8], (Friedrich, "The Effect of Autonomous Vehicles on Traffic", 2016) [9].…”

Section: Literature Reviewmentioning

confidence: 99%

Reducing Passenger Transport Energy Use in Cities: A Comparative Perspective on Private and Public Transport Energy Use in American, Canadian, Australian, European and Asian Cities

Kenworthy

2018

Urban Energy Transition

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This article describes the system unmanned urban passenger transport based on mobile autonomous robotic vehicles. The article describes an algorithm for drawing up a non-conflicting plan of passenger transportation on demand. The relevance of this system is conditioned changing social and economic conditions in the large cities, as well as modern features of scientific and technical progress. The aim of this paper consist of improvement of quality and efficiency of passenger transport in the "loaded" urban transport environment. The mathematical model of computer control unmanned transport system is described in this work. The result of job consist of description the algorithm for organization passenger transportations using unmanned vehicles. The considered model is adaptive to changings of road conditions and intended for enhance the mobility and flexibility of passenger transport in the context of high traffic flows and also brings economic and environmental benefits, since the method of transporting passengers by unmanned vehicles provides a high throughput of urban transport systems with a high level of passenger comfort.

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Autonomous vehicles and freight traffic: towards better efficiency of road, rail or urban logistics?

Cited by 16 publications

References 21 publications

Deployment of Autonomous Trains in Rail Transportation: Current Trends and Existing Challenges

Deployment of Autonomous Trains in Rail Transportation: Current Trends and Existing Challenges

The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review

Reducing Passenger Transport Energy Use in Cities: A Comparative Perspective on Private and Public Transport Energy Use in American, Canadian, Australian, European and Asian Cities

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