Integrated Vehicle Scheduling and Vehicle Assignment

Békési, József; Dávid, Balázs; Krész, Miklós

doi:10.14232/actacyb.23.3.2018.4

Cited by 3 publications

(4 citation statements)

References 19 publications

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“…The service scheduling influences the technical design of vehicles and infrastructure and defines the entire framework of the scenario. This is established by the driving range and the dwell time duration at potential charging locations [11], [26], [27], [28], [29]. On the other hand, vehicle scheduling is limited by technical constraints of the E-Buses, such as limited battery capacity which decreases the operational range, and charging infrastructure, as depicted in Figure 1.…”

Section: General Overviewmentioning

confidence: 99%

Energy Demand Model of Battery E-Buses for LPT: Implementation, Validation and Scheduling Optimization

et al. 2023

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The progressive conversion of conventional bus fleets into full-electric fleets have gained focus in recent years, instilled by awareness about the environment and significant trends of urbanization. Public transport operators in major cities worldwide have put efforts into fulfilling this change. However, an efficient electrification process is still a challenge for most operators. This paper aims to propose an E-Bus vehicle model that estimates the actual energy consumption. The proposed model is implemented on the case study of a real bus line for Local Public Transport (LPT) and considers all technical characteristics of the vehicle. Real-time input data are represented by real driving cycles of the actual bus fleet and slope profile of the line. Real-time input data allow to establish directly the influence on the energy consumed during real operations. As simulation results, the global energy consumption and battery State of Charge (SOC) are then computed for the whole daily service operations. The simulation results are validated with the real data available and several scenarios are then considered within the simulations. Based on the results obtained, further improvements are proposed and discussed aiming to optimize the utilization of bus fleet, regarding both vehicles scheduling and new charging solutions.INDEX TERMS Charging infrastructure, electric bus, energy consumption, local public transport, state of charge, vehicle scheduling.

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Section: General Overviewmentioning

confidence: 99%

Energy Demand Model of Battery E-Buses for LPT: Implementation, Validation and Scheduling Optimization

et al. 2023

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“…Tasks for vehicle-specific activities should also be taken into account, which requires a general framework for the integrated vehicle scheduling and assignment. A set partitioning-based mathematical model, where most vehicle-specific activities can be integrated based on the desired constraints is presented in [10]. This model is then solved using a column generation approach.…”

Section: Literature Reviewmentioning

confidence: 99%

Combined Vehicle and Driver Scheduling with Fuel Consumption and Parking Constraints: a Case Study

Békési¹,

Nagy²

2020

ACTA POLYTECH HUNG

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Efficient operation is an important question for public transport companies, and that can most easily be achieved by reducing their operational costs. This can also be facilitated by the optimized scheduling of vehicles and the work of the drivers. Such an optimization task can be very complex. Due to the dramatically increased processing capabilities today, it can be performed using advanced optimization methods. Automation aims to reduce the time-consuming manual activities, thus increase efficiency and provide prompt opportunities of scenario planning for operational cost analysis purposes. In this paper, a case study is presented to solve the combined vehicle and driver scheduling problem. The applied mathematical model is discussed and the calculation results for practical examples are presented

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“…To showcase the model, refueling was considered for these instances as their vehiclespecific activity, and multiple fuel-types were also studied for the vehicles, which is also rarely examined in other papers. We introduced the integrated vehicle scheduling and assignment problem in [16].…”

Section: Summary In Englishmentioning

confidence: 99%

“…We give a set partitioning model for the problem, and a column generation framework for its solution. Our research connected to this chapter can be seen in [16].…”

Section: Chapter 1 Introductionmentioning

confidence: 99%

Application-oriented scheduling problems in public bus transportation

Dávid

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First and foremost, I would like to thank my supervisor Miklós for his support and guidance throughout all these years. Although I might have doubted some of his ideas about the direction of this research, I must confess: he has been right the whole time. I would also like to thank all my colleagues, co-authors and friends who contributed to the results presented in this dissertation. Studying the application-oriented concepts that provide the backbone of this dissertation would not have been possible without the support of an industrial partner. I would like to thank Tisza Volán Zrt., the public bus transportation company of Szeged, Hungary, for providing the real-life data for testing our methods, the professional feedback on the quality of our results, and especially for the several innovative ideas about the shortcomings of the current state of transportation-many of these are reflected in the different topics of our theses. Last, but not least, I would also like to thank my family. My girlfriend Edit for her love, support and most importantly her patience. My parents, who have always been there for me, especially my mother Tünde, whom I can always count on. And my brothers (all four of them), who are the best siblings one can wish for. inserted into the given blocks, b) and c) represent possible solutions. .. .. .. . .

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Integrated Vehicle Scheduling and Vehicle Assignment

Cited by 3 publications

References 19 publications

Energy Demand Model of Battery E-Buses for LPT: Implementation, Validation and Scheduling Optimization

Energy Demand Model of Battery E-Buses for LPT: Implementation, Validation and Scheduling Optimization

Combined Vehicle and Driver Scheduling with Fuel Consumption and Parking Constraints: a Case Study

Application-oriented scheduling problems in public bus transportation

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