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Traffic Flow Optimization on Melbourne Parking Probability 0.2 Real-world data
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108.02
Avg Time Loss (s)
D-PA (Ours)
106.5352
116.5576
126.58
136.6024
Dec 2, 2025
Avg Time Loss (s)
Avg Time Loss Deviation (%)
Avg Walking Distance (m)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Avg Time Loss (s)
Avg Time Loss Deviation (%)
Avg Walking Distance (m)
D-PA (Ours)
Parking Probability=0.2
2025.12
108.02
25.58
2.11
D-PA (DQN)
Parking Probability=0....
2025.12
121.05
16.6
1.43
D-PA (A2C)
Parking Probability=0....
2025.12
125.34
13.64
1.5
D-PA (Du-DQN)
Parking Probability=0....
2025.12
129.07
11.07
1.28
D-PA (PPO)
Parking Probability=0....
2025.12
129.49
10.78
1.29
C-PA
Parking Probability=0.2
2025.12
129.82
10.56
63.52
D-PA (D-DQN)
Parking Probability=0....
2025.12
131.82
9.18
1.27
S-PA
Parking Probability=0.2
2025.12
133.1
8.3
1.29
No-PA
Parking Probability=0.2
2025.12
145.14
-
0.98
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