[HTML][HTML] Ensuring sustainable development of urban public transport: A case study of the trolleybus system in Gdynia and Sopot (Poland)

M Wołek, M Wolański, M Bartłomiejczyk… - Journal of Cleaner …, 2021 - Elsevier
Electromobility is a vital tool in reducing the environmental impact of transportation. A
technologically mature means of public transport is the trolleybus. Based on a case study of …

Robustness and disturbances in public transport

L Ge, S Voß, L Xie - Public transport, 2022 - Springer
Network-based systems are at the core of our everyday life. Whether it is electronic
networking, electricity grids or transportation, users expect the networks to function properly …

A microsimulation modelling approach to quantify environmental footprint of autonomous buses

U Hasan, A Whyte, H AlJassmi - Sustainability, 2022 - mdpi.com
In this study a novel microsimulation-based methodology for environmental assessment of
urban systems is developed to address the performance of autonomous mass-mobility …

[HTML][HTML] Public transport trajectory planning with probabilistic guarantees

B Varga, T Tettamanti, B Kulcsár, X Qu - Transportation Research Part B …, 2020 - Elsevier
The paper proposes an eco-cruise control strategy for urban public transport buses. The aim
of the velocity control is ensuring timetable adherence, while considering upstream queue …

Bilevel optimization for bunching mitigation and eco-driving of electric bus lines

R Lacombe, S Gros, N Murgovski… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The problems of bus bunching mitigation and the energy management of groups of vehicles
have traditionally been treated separately in the literature and been formulated in two …

[HTML][HTML] Bus journey simulation to develop public transport predictive algorithms

T Reich, M Budka, D Hulbert - Soft Computing Letters, 2021 - Elsevier
Encouraging the use of public transport is essential to combat congestion and pollution in an
urban environment. To achieve this, the reliability of arrival time prediction should be …

[图书][B] Distributed optimization for the optimal control of electric vehicle fleets

R Lacombe - 2023 - research.chalmers.se
Owing to their absence of tailpipe emissions and their independence from fossil fuels,
Electric Vehicles (EVs) are currently experiencing a rapid deployment in an attempt to curb …

Sequence modelling using deep learning approaches for spatiotemporal public transport data.

T Reich - 2022 - eprints.bournemouth.ac.uk
Encouraging the use of public transport is essential to combat congestion and pollution in an
urban environment. To achieve this, the reliability of public transport arrival time prediction …

Hierarchical control of electric bus lines

R Lacombe, S Gros, N Murgovski, B Kulcsár - IFAC-PapersOnLine, 2020 - Elsevier
In this paper, we propose a hierarchical control strategy for a line of electric buses with the
double objective of minimizing energy consumption and providing regular service to the …

[PDF][PDF] A PYTHON TOOL FOR SUMO TRAFFIC SIMULATION TO MODEL HYBRID ELECTRIC VEHICLES (HEV) FOR COMPREHENSIVE EMISSION ANALYSIS

T Tettamanti, CA Okolie, T Ormándi, B Varga - researchgate.net
Hybrid Electric Vehicles (HEVs) play a crucial role in sustainable transportation, enhancing
fuel efficiency and lowering emissions relative to traditional combustion engine vehicles. As …