A multi-class toll-based approach to reduce total emissions on roads for sustainable urban transportation

Perera, Loshaka; Thompson, Russell G.; Wu, Wenyan

doi:10.1016/j.scs.2020.102435

Cited by 33 publications

(17 citation statements)

References 93 publications

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“…All simulations in this study have been implemented in PTV VISUM 20.01 Expert (Academic licence) a macroscopic traffic simulation software that is one of the leading commercial software systems for transportation planning [ 1 , 19 ]. A modified version of the four-step methodology proposed by Savadogo et al [ 26 ] has been adopted in this study.…”

Section: Methods: On-demand Meal Delivery (Od-pair Based)mentioning

confidence: 99%

“…Perera et al [ 19 ] created a simulation of Melbourne and surrounding areas to evaluate the effect of toll charging schemes on emission costs. The goal of the study was to minimise the emissions while generating revenue for investors through road tolls.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Perera et al [ 20 ] used the same methods as in [ 19 ] to create a simulation of Melbourne in VISUM to estimate the total costs of freight transport (i.e., economic, social and environmental) as well as to identify options to minimise the total cost.…”

Section: Literature Reviewmentioning

confidence: 99%

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Emission Estimation of On-Demand Meal Delivery Services Using a Macroscopic Simulation

Schnieder

Hinde

West

2022

IJERPH

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While macroscopic simulations of passenger vehicle traffic within cities are now common practice, the integration of last mile delivery into a macroscopic simulation to evaluate the emissions has seldomly been achieved. In fact, studies focusing solely on last mile delivery generally focus on evaluating the delivery service itself. This ignores the effect the delivery service may have on the traffic flow in cities, and therefore, on the resulting emissions. This study fills this gap by presenting the results of two macroscopic traffic simulations of New York City (NYC) in PTV VISUM: (i) on-demand meal delivery services, where the emissions are evaluated for each OD-Pairs (i.e., each trip) and (ii) on-demand meal delivery services, where the emissions are evaluated for each link of the network (i.e., street). This study highlights the effect on-demand meal delivery has on the travelled distance (i.e., detours), congestion and emissions per km of every vehicle in the network, not just the delivery vehicles.

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Section: Methods: On-demand Meal Delivery (Od-pair Based)mentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Emission Estimation of On-Demand Meal Delivery Services Using a Macroscopic Simulation

Schnieder

Hinde

West

2022

IJERPH

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“…A substantial share of the world's energy consumption (roughly 28%) is dedicated to the transportation sector [1]. Hence, considering environmental concerns and high-efficiency transportation alternatives have received considerable attention [2,3]. e development of transportation methods based on rails, especially electric railway systems, is one of the most efficient ways to reduce emissions and energy consumption challenges [4].…”

Section: Background and Motivationmentioning

confidence: 99%

Multistage Multiobjective Optimization for Optimal Energy Management of the Connected Cophase Traction Power System

Akbari

Fazel

2022

International Transactions on Electrical Energy Systems

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This study presents a multiobjective energy management model for the connected cophase traction power system (CCTPS). Each traction substation (TSS) includes a power flow controller (PFC), energy storage systems (ESS), wind turbine, and PV modules beside a single-phase traction power transformer. Also, in order to exchange the power between the adjacent TSSs, power transfer controllers (PTCs) are used. The proposed energy management model is formulated as a multistage multiobjective optimization problem with a lexicography approach. In the first stage, the cost of purchased energy is minimized. In the second stage, the independence of the CCTPS from the external grid improved. Finally, minimizing the voltage unbalanced ratio (VUR) of CCTPS is considered as the third stage goal. According to the simulation results, utilizing GAMS optimization software, the proposed model will decrease remarkably VUR and dependency of CCTPS without any increase in operation cost.

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“…A significant share (approximately 28%) of the world's energy consumption belongs to the transportation sector 3 . Hence, considering environmental constraints, high efficient transportation alternatives have received a great deal of attention 4–6 . Developing railway‐based traveling methods, particularly the electrical railway systems (ERSs), is one of the most effective alternatives, leading to decreased emission and energy consumption challenges 7 .…”

Section: Introductionmentioning

confidence: 99%

Optimal stochastic energy management of electrical railway systems considering renewable energy resources' uncertainties and interactions with utility grid

Ehteshami

Hashemi‐Dezaki

Javadi

2022

Energy Science & Engineering

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Several studies have been reported for optimal operation of electrical railway systems (ERSs). However, the stochastic energy management of ERSs, including renewable energy resources (RERs), has received less attention. The RERs’ uncertainties might affect the ERSs. On the other hand, the calculation time of the Monte Carlo simulation (MCS)‐based approaches is an essential challenge, which should be solved, particularly in real‐time decisions and recursive optimization problems. Thus, it is crucial to study the ERSs' stochastic behaviors and uncertainties, including RERs. This paper tries to overcome the discussed concerns and challenges by proposing a novel ERS’s optimal stochastic energy management using clustering algorithms. In this paper, the backward scenario reduction algorithm has been used. In addition, regenerative braking energy (RBE) and energy management systems (ESSs) have been studied. Studying the impacts of changes in the number of passengers on the optimized operation of ERSs and investigating the interaction between the utility grid and the ERS are other contributions of this research. The proposed method is applied to an actual test system of Tehran Urban and Suburban Railway Operation Company (TUSROC). Test results are validated by comparing with available MCS‐based methods. Simulation results illustrate the accuracy and computation time advantages of the proposed method. Simulation results illustrate that <0.6% inaccuracy appears in the proposed method, while it would be 500 times faster than MCS‐based ones. The comparative test results show the advantages of the introduced method.

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A multi-class toll-based approach to reduce total emissions on roads for sustainable urban transportation

Cited by 33 publications

References 93 publications

Emission Estimation of On-Demand Meal Delivery Services Using a Macroscopic Simulation

Emission Estimation of On-Demand Meal Delivery Services Using a Macroscopic Simulation

Multistage Multiobjective Optimization for Optimal Energy Management of the Connected Cophase Traction Power System

Optimal stochastic energy management of electrical railway systems considering renewable energy resources' uncertainties and interactions with utility grid

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