Designing an optimized schedule of transit electric bus charging: A municipal level case study

Rahegaonkar, Aditi; Patange, Abhishek D.; Nalavade, Sandeep P.

doi:10.1016/j.matpr.2021.09.220

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…Such weights are subjective and vary as per companies and products. Few other papers have used optimization in scheduling problems [17] and networking problems [5]. The study for minimization of supply chain cost has also been performed with non-linear optimization [18], but this study does not focus specifically on to the transportation domain.…”

Section: Literature Reviewmentioning

confidence: 99%

International Transportation Mode Selection through Total Logistics Cost-Based Intelligent Approach

Patil,

Patange,

Pardeshi

2023

Logistics

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Background: International transportation has grown substantially, causing total logistics costs (TLCs) to rise. Companies are increasingly striving for their reduction. The most crucial factor affecting TLCs is the transportation mode, and its appropriate selection has become vital for firms. Maritime transport is the most preferred mode for international shipments, while air transport is also increasingly preferred due to the rise in underweight and high-frequency shipments, the expectation of reduced delivery times, and inventory costs. However, a thorough comparative analysis is necessary for the selection. Methods: This paper proposes an intelligent approach based on TLCs. Non-linear optimization is adopted for regular replenishment, while maching-learning classifiers are employed to establish a decision boundary for the chargeable weight of shipments. Conclusions: The study assists in decision making and also establishes a country-wide threshold, highlighting the importance of a country-based logistics strategy. The paper successfully establishes the trends and relations between logistics parameters, which assists the logistics decision making. Research identifies the gaps in the existing literature and bridges them by addressing the required concerns.

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Section: Literature Reviewmentioning

confidence: 99%

International Transportation Mode Selection through Total Logistics Cost-Based Intelligent Approach

Patil,

Patange,

Pardeshi

2023

Logistics

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“…Gkiotsalitis [79] determined the best departure times of buses based on bus-holding strategy while considering the scheduled charging times. Minimizing the charging time of EBs during the service time was studied by Patil et al [80].…”

Section: Equilibrium-based Approachmentioning

confidence: 99%

Electric Bus Scheduling and Timetabling, Fast Charging Infrastructure Planning, and Their Impact on the Grid: A Review

et al. 2022

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Transit agencies are increasingly embracing electric buses (EB) as an energy-efficient and emission-free alternative to the conventional bus fleets. They are rapidly replacing conventional buses with electric ones. As a result, emerging challenges of electrifying public transportation bus networks in cities should be addressed. Introducing electric buses to the bus transit system would affect the public transit operation planning steps. The steps are network design, timetabling, bus scheduling, and crew scheduling. Regarding the functional and operational differences between conventional buses and electric buses, such stages should be changed and optimized to enhance the level of service for the users while reducing operating costs for service providers. Many mathematical optimization models have been developed for conventional buses. However, such models would not fit the electric buses due to EBs’ limited traveling range and long charging time. Therefore, new mathematical models should be developed to consider the unique features of electric buses. We present a comprehensive literature review to critically review and classify the work done on these topics. This paper compares the studies that have been done in this field and highlight the missing links and gaps in the considered papers, and the potential future studies that could be done. The considered papers cover the integration of timetabling and vehicle scheduling, recharging scheduling planning, and fast charging infrastructure location planning and its impacts on the grid. The main goal of this research is to highlight the research gaps and potential directions for future studies in this domain to encourage more realistic and applicable models and solution approaches for fully electric bus transit systems.

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“…In the sector of transportation, more and more fuel vehicles are being replaced by electric vehicles (EVs). Conventional fuel buses emit high levels of CO2 in the air, leading to various environmental problems and degradation [1]. Compared with fuel vehicles, EVs have the benefits of reducing on-road pollution and high-quality on-board experiences, which is of great significance to reducing carbon emission, optimising the energy structure, ensuring energy security and other aspects [2].…”

Section: Introductionmentioning

confidence: 99%

Optimising Electric Bus Departure Interval Considering Stochastic Traffic Conditions

Qiu,

Hu,

Song

et al. 2023

PROMTT

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Electric buses (EBs) have attracted more and more attention in recent years because of their energy-saving and pollution-free characteristics. However, very few studies have considered the impact of stochastic traffic conditions on their operations. This paper focuses on the departure interval optimisation of EBs which is a critical problem in the operations. We consider the stochastic traffic conditions in the operations and establish a departure interval optimisation model. The objective function aims at minimising passenger travel costs and enterprise operation costs, including waiting time costs, congestion costs, energy consumption costs and operational fixed costs. To solve this problem, a genetic algorithm (GA) based on fitness adjustment crossover and mutation rate is proposed. Based on the Harbin bus dataset, we find that improved GA performance is 4.481% higher, and it can solve the models more accurately and efficiently. Compared with the current situation, the optimisation model reduces passenger travel costs by 20.2% and helps improve passenger travel quality. Under stochastic traffic conditions, total cost change is small, but passenger travel costs increase significantly. This indicates the high impact degree of random traffic conditions on passenger travel. In addition, a sensitivity analysis is conducted to provide suggestions for improving the EBs operation and management.

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Designing an optimized schedule of transit electric bus charging: A municipal level case study

Cited by 5 publications

References 17 publications

International Transportation Mode Selection through Total Logistics Cost-Based Intelligent Approach

International Transportation Mode Selection through Total Logistics Cost-Based Intelligent Approach

Electric Bus Scheduling and Timetabling, Fast Charging Infrastructure Planning, and Their Impact on the Grid: A Review

Optimising Electric Bus Departure Interval Considering Stochastic Traffic Conditions

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