diff --git a/R/multi_driver_test.R b/R/multi_driver_test.R
new file mode 100644
index 00000000..0c93448b
--- /dev/null
+++ b/R/multi_driver_test.R
@@ -0,0 +1,89 @@
+library(tidyverse)
+library(f1dataR)
+
+# multi_driver <- function(season, round, drivers, laps = 'fastest'){
+#   data <- tibble(
+#     driver = drivers,
+#     round = round,
+#     season = season
+#   )
+#   load_race_session(obj_name = "session", season = season, round = round, session = 'R')
+#   reticulate::py_run_string("session.load()")
+#   
+#   get_driver <- function(season, round, driver, laps = 'fastest'){
+#     reticulate::py_run_string(glue::glue("tel = session.laps.pick_driver('{driver}').pick_fastest().get_telemetry().add_distance(){opt}",
+#                                          driver = driver, opt = ''
+#     ))
+#     py_env <- reticulate::py_run_string(paste("tel.SessionTime = tel.SessionTime.dt.total_seconds()",
+#                                               "tel.Time = tel.Time.dt.total_seconds()",
+#                                               sep = "\n"
+#     ))
+#     
+#     tel <- reticulate::py_to_r(reticulate::py_get_item(py_env, "tel"))
+#     
+#     tel %>%
+#       dplyr::mutate(driverCode = driver) %>%
+#       tibble::tibble() %>%
+#       janitor::clean_names()
+#   }
+#   
+#   mapply(get_driver, data$season, data$round, data$driver)%>% 
+#     t() %>% 
+#     data.frame() %>% 
+#     unnest(cols = c(date, session_time, driver_ahead,
+#                     distance_to_driver_ahead, time, rpm, speed, n_gear, throttle, brake, drs,
+#                     source, relative_distance, status, x, y, z, distance, driver_code))
+# }
+# 
+# personalfix::time_check({
+#   multi_driver(2023,1,c('LEC', 'VER')) 
+# })
+# 
+# personalfix::time_check({
+#   multi_driver(2023,1,c('LEC', 'VER', 'BOT', 'PER', 'SAI', 'SAR', 'ALB')) 
+# })
+
+
+multi_driver_parallel <- function(season, round, drivers, laps = 'fastest'){
+  data <- tibble(
+    driver = drivers,
+    round = round,
+    season = season
+  )
+  load_race_session(obj_name = "session", season = season, round = round, session = 'R')
+  reticulate::py_run_string("session.load()")
+  
+  get_driver <- function(season, round, driver, laps = 'fastest'){
+    reticulate::py_run_string(glue::glue("tel = session.laps.pick_driver('{driver}').pick_fastest().get_telemetry().add_distance(){opt}",
+                                         driver = driver, opt = ''
+    ))
+    py_env <- reticulate::py_run_string(paste("tel.SessionTime = tel.SessionTime.dt.total_seconds()",
+                                              "tel.Time = tel.Time.dt.total_seconds()",
+                                              sep = "\n"
+    ))
+    
+    tel <- reticulate::py_to_r(reticulate::py_get_item(py_env, "tel"))
+    
+    tel %>%
+      dplyr::mutate(driverCode = driver) %>%
+      tibble::tibble() %>%
+      janitor::clean_names()
+  }
+  
+  parallel::mcmapply(get_driver, data$season, data$round, data$driver, mc.cores=parallel::detectCores()-1)%>% 
+    t() %>% 
+    data.frame() %>% 
+    unnest(cols = c(date, session_time, driver_ahead,
+                    distance_to_driver_ahead, time, rpm, speed, n_gear, throttle, brake, drs,
+                    source, relative_distance, status, x, y, z, distance, driver_code))
+}
+
+personalfix::time_check({
+  multi_driver_parallel(2023,1,c('LEC', 'VER')) 
+})
+
+personalfix::time_check({
+  multi_driver_parallel(2023,1,c('LEC', 'VER', 'BOT', 'PER', 'SAI', 'SAR', 'ALB')) 
+})
+
+