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Table 2 List of parameters used by each reviewed literature

From: Gap, techniques and evaluation: traffic flow prediction using machine learning and deep learning

No

Authors

Parameters

A

B

C

D

E

F

G

H

I

J

K

L

M

N

O

P

Q

R

S

T

U

V

W

X

Y

Z

AA

BB

CC

DD

EE

FF

GG

HH

II

JJ

KK

LL

MM

NN

OO

PP

QQ

RR

1

Tu et al. (2021)

X

X

                                          

2

Zhang et al. (2021)

  

X

X

                                        

3

Hou et al. (2021)

    

X

                                       

4

Sun et al. (2021)

X

X

X

  

X

X

                                     

5

Xia et al. (2021)

X

X

                                          

6

Romo et al. (2020a)

 

X

 

X

                                        

7

Abdelwahab et al. (2020b)

 

X

 

X

                        

X

               

8

Abdellah and Koucheryavy (2020)

                                           

X

9

Wang et al. (2020)

       

X

X

                                   

10

Lin, Wang et al. (2020)

   

X

                                       

X

11

Qu et al. (2020)

  

X

X

                                        

12

Wang et al. (2020)

 

X

 

X

     

X

                                  

13

Shin et al. (2020)

 

X

                                          

14

Ranjan et al. (2020)

          

X

                                 

15

Liu et al. (2020)

 

X

         

X

X

                               

16

Elleuch et al. (2020)

 

X

X

          

X

X

                             

17

Sun et al. (2020)

X

                                           

18

Zafar and Haq (2020)

    

X

X

         

X

X

X

X

                         

19

Jingjuan Wang and Chen (2020)

  

X

 

X

  

X

         

X

 

X

X

                       

20

Essien (2020)

 

X

 

X

X

    

X

           

X

                      

21

Ren and Xie (2019)

  

X

                   

X

X

X

X

                  

22

Chou et al. (2019)

  

X

 

X

X

         

X

          

X

                 

23

Yi and Bui (2019)

X

X

X

                        

X

X

               

24

Xu et al. (2019)

 

X

  

X

                                       

25

Jingyuan Wang et al. (2019)

  

X

X

    

X

       

X

                           

26

Yang et al. (2019)

  

X

                          

X

X

             

27

Chen et al. (2019)

 

X

                             

X

            

28

Bartlett et al. (2019)

X

 

X

                        

X

                

29

Xu et al. (2018a)

 

X

X

                             

X

           

30

Shirazi and Morris (2018)

                                 

X

X

         

31

Tampubolon and Hsiung (2018)

X

X

                                 

X

        

32

Jin et al. (2018)

  

X

                                 

X

X

      

33

Duan et al. (2018)

                                      

X

     

34

Chen et al. (2018)

  

X

                           

X

        

X

X

   

35

Kong et al. (2018)

   

X

                                        

36

Tian et al. (2018)

 

X

X

X

       

X

                                

37

Khan et al. (2017)

 

X

X

      

X

                                  

38

Lawe and Wang (2016)

X

   

X

                                    

X

  

39

Wang et al. (2016)

  

X

                  

X

                    

X

 

Total

8

17

17

10

7

3

1

2

2

3

1

2

1

1

1

2

2

2

1

1

1

2

1

1

1

1

1

2

2

1

2

1

1

1

1

1

1

1

1

1

1

1

1

2

  1. (A) Traffic volume; (B) Speed; (C) Time; (D) Average Flow; (E) Weather; (F) Day; (G) Travel Time; (H) Road Area; (I) Trajectory; (J) Density; (K) Traffic Snapshot; (L) License Plate Recognition; (M) Violation Record; (N) Vehicle ID; (O) Position; (P) Holiday; (Q) Location; (R) Date; (S) Special Condition; (T) Lane marking detection; (U) Brake Light Recognition; (V) Tweet Data; (W) Card ID; (X) Station Number; (Y) Line Number; (Z) Expense; (AA) Temperature; (BB) Vehicle Type; (CC) Occupancy Rate; (DD) Road Section; (EE) External Factors; (FF) Sensor Network; (GG) Travel Link; (HH) Blob; (II) Optical Flow; (JJ) Congestion Degree; (KK) Map Size; (LL) User Count; (MM) Spatial Temporal; (NN) Input Flow; (OO) Output Flow; (PP) Incident or Event Nearby; (QQ) GPS Data; (RR) Number of hidden units in LSTM Layer