This is likely the same issue as discussed here arising from the RAM limitations of the cloud version. The desktop version on any reasonably provisioned laptop or desktop should overcome this. If installing the desktop version is not an option you can try revising the script to minimize the memory load. Something along these lines
#omit loading libraries yet
# import jan and feb
all_trips <- dplyr::bind_rows(jan,feb)
rm(jan,feb)
# import mar apr
all_trips <- dplyr::bind_rows(all_trips,mar,apr)
rm(mar,apr)
# continue through end of year, removing
rm(nov,dec)
# save for reuse later
saveRDS(all_trips,file="all_trips.Rds")