scholarly journals Optimal Design of Electric Bus Transport Systems With Minimal Total Ownership Cost

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 119184-119199
Author(s):  
Mohamed Lotfi ◽  
Pedro Pereira ◽  
Nikolaos G. Paterakis ◽  
Hossam A. Gabbar ◽  
Joao P. S. Catalao
Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6610
Author(s):  
Raka Jovanovic ◽  
Islam Safak Bayram ◽  
Sertac Bayhan ◽  
Stefan Voß

Electrifying public bus transportation is a critical step in reaching net-zero goals. In this paper, the focus is on the problem of optimal scheduling of an electric bus (EB) fleet to cover a public transport timetable. The problem is modelled using a mixed integer program (MIP) in which the charging time of an EB is pertinent to the battery’s state-of-charge level. To be able to solve large problem instances corresponding to real-world applications of the model, a metaheuristic approach is investigated. To be more precise, a greedy randomized adaptive search procedure (GRASP) algorithm is developed and its performance is evaluated against optimal solutions acquired using the MIP. The GRASP algorithm is used for case studies on several public transport systems having various properties and sizes. The analysis focuses on the relation between EB ranges (battery capacity) and required charging rates (in kW) on the size of the fleet needed to cover a public transport timetable. The results of the conducted computational experiments indicate that an increase in infrastructure investment through high speed chargers can significantly decrease the size of the necessary fleets. The results also show that high speed chargers have a more significant impact than an increase in battery sizes of the EBs.


Author(s):  
Metin Mutlu Aydın ◽  

Passengers’ boarding times at bus stops have a great importance to calculate dwell and travel time for scheduling process in public transport operations. However, there are not so much observed boarding times data in the actual bus transport systems and it may cause some prediction problems in scheduling process of public transport operations. For this reason, accurate estimation of the boarding times will ensure correct calculation of dwell and total travel time for bus transport systems. Based on this idea, this study aims to model boarding times of each passengers by evaluating different parameters using two different (statistical and optimization analysis) methods. For this purpose, a comprehensive data collection process was conducted in total seven different cities of Turkey based upon their population. Two new models were developed for boarding time estimation by evaluating various parameters using a multiple Ordinary Least Square (OLS) regression and Artificial Bee Colony (ABC) algorithm as statistical and optimization methods, respectively. Study results showed that modeling of boarding times by considering various parameters is an effective strategy to improve the performance of bus transport systems by using developed two models


Semantic Web ◽  
2021 ◽  
pp. 1-19
Author(s):  
Edna Ruckhaus ◽  
Adolfo Anton-Bravo ◽  
Mario Scrocca ◽  
Oscar Corcho

We present an ontology that describes the domain of Public Transport by bus, which is common in cities around the world. This ontology is aligned to Transmodel, a reference model which is available as a UML specification and which was developed to foster interoperability of data about transport systems across Europe. The alignment with this non-ontological resource required the adaptation of the Linked Open Terms (LOT) methodology, which has been used by our team as the methodological framework for the development of many ontologies used for the publication of open city data. The ontology is structured into three main modules: (1) agencies, operators and the lines that they manage, (2) lines, routes, stops and journey patterns, and (3) planned vehicle journeys with their timetables and service calendars. Besides reusing Transmodel concepts, the ontology also reuses common ontology design patterns from GeoSPARQL and the SOSA ontology. As part of the LOT data-driven validation stage, RDF data has been generated taking as input the GTFS feeds (General Transit Feed Specification) provided by the Madrid public bus transport provider (EMT). Mapping rules from structured data sources to RDF were developed using the RDF Mapping Language (RML) to generate RDF data, and queries corresponding to competency questions were tested.


2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Rana Imam ◽  
Seong-Cheol Kang ◽  
Diana Quezada

Being able to provide high-quality, metro-like transit service at a fraction of the cost of other options, bus rapid transit (BRT) has been viewed as one of the most cost-effective public mass transport systems suitable for urban areas. Considering significant amounts of greenhouse gas (GHG) and air pollutant emissions are attributed to the transport sector, deploying low carbon buses for BRT systems should be of high priority. With a view to promoting low carbon buses instead of diesel buses for a BRT system currently being planned in Amman, Jordan, this paper evaluates several low carbon bus options – hybrid, plug-in hybrid, opportunity charging, trolleybus, and battery electric bus options – against the baseline case of diesel buses. While low carbon buses reduce GHG and air pollutant emissions often considerably, they usually require higher upfront capital costs and additional infrastructure investments. On the other hand, they tend to incur lower energy and maintenance costs and have a longer lifetime particularly for battery electric buses. All these advantages and disadvantages are included in the assessment of low carbon bus options relative to diesel buses. For the trunk routes of the Amman BRT, the analysis shows that the opportunity charging bus can be the most appealing option having a positive internal rate of return (IRR) for the incremental investment costs. For the feeder routes, both low carbon bus options considered, hybrid and battery electric, do not result in a positive IRR. Nevertheless, the battery electric bus is found to be a comparatively better option than the hybrid bus. In consideration of variability in several parameters used in the analysis such as capital expenditures, electricity price, and diesel price, a sensitivity analysis is conducted for both trunk and feeder routes. The results show that IRR could increase favorably under certain conditions.


2007 ◽  
Vol 21 (16) ◽  
pp. 1027-1040 ◽  
Author(s):  
YONG-ZHOU CHEN ◽  
NAN LI

We conjecture that the evolution process with self-avoiding random walks is the origin for the properties of urban ground bus-transport networks (BTN). In order to verify our conjecture, a toy model, which simulates the growth of urban bus-transport systems, is proposed after empirical investigation on the BTNs of four major cities in China. In current empirical and simulation research, our method combining weight and geographical topology of the BTN together allows us to study the coupling relations among the BTN's weighted quantities and underlying topological structure. Finally, the simulating results reveal that the model can reproduce most phenomena observed in real-life urban ground BTNs.


2021 ◽  
Vol 332 ◽  
pp. 01005
Author(s):  
Bogdan Landowski

The study presents a method for application of the theory Markov homogenous processes for modeling of the process of vehicle operational state changes characterized by exponential distribution of their duration time. A model of operation and maintenance of vehicles used in the research object has been developed. The research object is a city bus transport system situated in the analyzed agglomeration. Stochastic process {X(t), t = 0} is a mathematical model of the process of operation and maintenance of public transport buses. The analyzed stochastic process {X(t),t = 0} has a finite phase space S, S={S1, S2, ..., Sn}. It was assumed that operation of the model is to be described by the homogeneous Markov process {X(t) : t ? R+} with a finite set of S states. The states of the analyzed stochastic process correspond to the operational states distinguished for a bus. A hypothetical computing model was built in order to illustrate the discussion and present a method for application of the developed model. The parameters of the model were estimated based on the analysis of initial results of experimental tests conducted in a real bus transport system.


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