Optimisation of Water-Road Freight Transportation Routes for Reduced Fuel Consumption and Traffic Risk

IF 2.5 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Tianren Zhang, Hong Lang, Yubin Chen, Amin Moeinaddini, Yajie Zou
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引用次数: 0

Abstract

Negative externalities refer to costs arising from transportation activities that are not borne by service providers or consumers, often leading to their neglect in freight transportation planning. This study proposes a novel framework for optimising water-road transportation route selection by incorporating two key negative externalities: fuel consumption and traffic risk. Traffic risk is assessed using a safety performance function, while fuel consumption is estimated based on the Handbook of Emission Factors for Road Transport. The proposed framework is applied to California's road network and port system, where the optimal operation area for each major port is determined and compared across different optimisation objectives: trip distance, fuel consumption and traffic risk. Results indicate that the optimal operation area varies significantly depending on the relative weight assigned to each objective. The findings demonstrate that optimising routes beyond just minimising distance can reduce fuel consumption and traffic risk, highlighting the substantial differences in optimal operational areas under different criteria.

Abstract Image

Abstract Image

Abstract Image

优化水路货物运输路线以降低燃料消耗和交通风险
负外部性是指运输活动所产生的不由服务提供者或消费者承担的成本,往往导致它们在货运规划中被忽视。本研究提出了一个新的框架,通过纳入两个关键的负外部性:燃料消耗和交通风险来优化水路运输路线选择。使用安全性能函数评估交通风险,而根据道路运输排放因子手册估计燃料消耗。提出的框架应用于加州的道路网络和港口系统,其中每个主要港口的最佳操作区域被确定,并在不同的优化目标之间进行比较:行程距离、燃料消耗和交通风险。结果表明,各目标的相对权重不同,最优操作区域也有显著差异。研究结果表明,除了最小化距离之外,优化路线可以减少燃料消耗和交通风险,突出了不同标准下最优操作区域的本质差异。
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来源期刊
IET Intelligent Transport Systems
IET Intelligent Transport Systems 工程技术-运输科技
CiteScore
6.50
自引率
7.40%
发文量
159
审稿时长
3 months
期刊介绍: IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf
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