Allocation of the inductive charging system for bus rapid transit network

Adedayo Asaolu, Stuart Galloway, Calum Edmunds

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)


This paper proposes a multi-terminal allocation of inductive charging infrastructure for the public bus transit network using Lagos bus rapid transit as a case study. The charging model is formulated as a mathematical optimisation problem that allocates multi-terminal based inductive chargers for the transit network. The formulated optimisation problem is solved using a particle swarm optimisation algorithm. The results indicate that the allocation of the inductive chargers to transit system is more cost-efficient and reduce the battery size of the battery-electric bus when the bus terminals in a transit route are of equal distance from each other.
Original languageEnglish
Title of host publication2020 IEEE International Smart Cities Conference (ISC2)
Place of PublicationPiscataway, NJ
Number of pages8
ISBN (Electronic)9781728182940
ISBN (Print)9781728182957
Publication statusPublished - 29 Oct 2020
Event IEEE International Smart Cities Conference - , United States
Duration: 28 Sept 20201 Oct 2020


Conference IEEE International Smart Cities Conference
Abbreviated titleSC2
Country/TerritoryUnited States
Internet address


  • battery-electric bus
  • charging infrastructure
  • optimisation
  • electric vehicle
  • transport electrification
  • inductive charger
  • smart cities
  • mathematical model
  • rapid transit systems
  • particle swarm optimisation


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