Designing bus line plans for realistic cases - the Utrecht case study

Durán-Micco, Javier; Niekerk, M.E. van Kooten; Vansteenwegen, Pieter

doi:10.1016/j.eswa.2021.115918

Cited by 9 publications

(8 citation statements)

References 34 publications

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“…The OD matrix has 16823 non-zero OD pairs, corresponding to 22.9% of the total number of OD pairs. A detailed description on how this instance is generated is given in (Durán-Micco et al, 2022). Table 1 shows the values of several algorithm and problem related parameters that are used in the experiments presented in this section.…”

Section: Resultsmentioning

confidence: 99%

“…It also includes the minimum frequency that can be assigned to a line (𝑓 𝑚𝑖𝑛 ), the maximum length of a line measured in travel time (𝑙 𝑚𝑎𝑥 ), the minimum (𝑁 𝑚𝑖𝑛 ) and maximum (𝑁 𝑚𝑎𝑥 ) number of bus lines allowed in the network, the bus capacity of the buses operating the network (𝑞), and the coefficient value used to calculate the effective frequencies (𝛽). These parameters were set considering the standard values used in literature and information gathered from the real transit system in Utrecht (Durán-Micco et al, 2022). All the experiments presented in this paper were performed on an Intel® Core™ i7-3770 CPU 3.40 GHz machine with 16.00 GB RAM.…”

Section: Resultsmentioning

confidence: 99%

“…A lower number of lines allows higher frequencies and therefore reducing the waiting times with the same fleet size. More details about these comparisons between the algorithm results and the real bus network in Utrecht are provided in (Durán-Micco et al, 2022).…”

Section: Application To Practicementioning

confidence: 99%

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Transit network design considering link capacities

Durán-Micco

Vansteenwegen²

2022

Transport Policy

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Transit network design considering link capacities

Durán-Micco

Vansteenwegen²

2022

Transport Policy

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“…In order to enrich the evaluation of the real bus lines, the SORT 1 was used. It involves a series of predefined driving conditions, including acceleration (1.03, 0.77, and 0.62 m/s 2 ), cruising (20,30, and 40 km/h), deceleration (0.8 m/s 2 ), and stop (20 s) phases, representing typical urban driving patterns. The SORT driving cycles provide a consistent benchmark for assessing and comparing the environmental impact of different vehicles under on-road conditions [17,18].…”

Section: Driving Cycle Modellingmentioning

confidence: 99%

“…Some studies compare different network designs, aiming to assess service efficiency in aspects such as commercial speed and headway, but overlooking energy costs and the impact of terrain, among other driving cycle characteristics [19]. Similar limitations are evident in studies focusing on specific cities like Utrecht or Istanbul [20,21]. An insightful study conducted in Singapore employed synthetic cycles to evaluate the specific energy consumption of a hypothetical fleet of electric vehicles [22].…”

Section: Introductionmentioning

confidence: 99%

Energy Assessment of Alternative City Bus Lines: A Case Study in Gijón, Spain

Diaz,

Pérez,

Fernández

2024

Sustainability

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The progressive substitution of traditional buses with electric ones in urban public transport constitutes a fundamental challenge towards sustainable mobility. This paper presents a methodological approach to assess energy consumption in urban bus networks, focusing on a city with varied topography and examining alternative bus lines for similar trips. Utilizing a quasi-static longitudinal model, real GPS data, and open access terrain models, the analysis aims to provide a nuanced understanding of energy performance, considering factors such as stop characteristics, gradients, and driving styles. The influence of driving style on commercial speed is observed to be modest, yet significant, in terms of energy efficiency. This research identifies the most advantageous line for transitioning from Internal Combustion Engine (ICE) to Electric Motor (EM) powertrains, resulting in a significant 68% reduction in energy consumption. Beyond specific line details, this methodology offers insights applicable to medium-sized cities, emphasizing efficient route prioritization and providing enhanced user information for informed decisions in the context of sustainable transportation solutions.

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Line Planning for Different Demand Periods

Schiewe,

Schöbel,

Sieber

2023

Oper. Res. Forum

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Line planning as one of the first planning stages in public transport is a well-researched topic. Nearly all models start with the assumption that the demand for public transport is known and fixed. For real-world applications this assumption is not practicable, since there are different demands depending on the period of the day and the day of the week, e.g., the high demand in morning traffic differs from the demand during a week-day, or from the low demand on Sunday’s afternoons, or at night. Planning lines for different demand periods comes with two conflicting goals: On the one hand, the line concept should be adapted as good as possible to the respective demand. On the other hand, the lines should be as similar as possible for different demand periods, e.g., the line plan for Sunday afternoon should be related to the one on Monday morning. In this paper, we show that line planning for different demand periods can be modeled and solved: We introduce the multi-period line planning problem which is to find optimized line concepts for each demand period which are similar (enough) to each other. To this end, we discuss three different approaches to define the (dis)similarity between line concepts. These are frequency-based concepts, and concepts taking the number of different lines and the shape of the lines into account. For the latter, we use Wasserstein distances for modeling the similarity between two line concepts. We show that for all these similarity measures the line planning problem can be formulated as an integer linear program and solved efficiently. Our experiments furthermore show the differences of the resulting line concepts, and that the similarity of line concepts between different demand periods and the quality of the line concept are conflicting goals.

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Designing bus line plans for realistic cases - the Utrecht case study

Cited by 9 publications

References 34 publications

Transit network design considering link capacities

Transit network design considering link capacities

Energy Assessment of Alternative City Bus Lines: A Case Study in Gijón, Spain

Line Planning for Different Demand Periods

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