Résumé
Battery powered electric buses have higher energy efficiency, lower emissions and noise when compared to buses with internal combustion engines. However, due to battery charging requirements, their large-scale integration into public transport operations is more complex. This study proposes a novel concept supporting said integration via new control strategies, dubbed e-GLOSA and e-GLODTA. These strategies extend the existing Green Light Optimal Speed and Dwell Time Systems (GLOSA/GLODTA) to account for the specific needs of electric buses. That is, they include the goals of minimizing the energy consumption between charging stations, and maximizing available charging time. At the same time, interference with schedule requirements is minimized. The formulated heuristics are tested on a Bus Rapid Transit (BRT) corridor case study, where different scenarios-such as placement of charging stations and bus regularity-are studied to assess under which conditions each action (maintain speed, accelerate or dwell for a longer time at a stop) is beneficial. Results show that eGLOSA contributes to schedule adherence while eGLODTA allows satisfying charging time constraints
langue originale | Anglais |
---|---|
Pages | 170-175 |
Les DOIs | |
état | Publié - 18 août 2017 |
Modification externe | Oui |
Evénement | 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems - Naples, Italie Durée: 26 juin 2017 → 28 juin 2017 Numéro de conférence: 5 |
Une conférence
Une conférence | 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems |
---|---|
Titre abrégé | MT-ITS 2017 |
Pays/Territoire | Italie |
La ville | Naples |
période | 26/06/17 → 28/06/17 |