for splitting the traffic road based on vehicle types. Fuzzy value obtained by combining ... Motorcycle. (MC). Total Volume. Passenger Car Equivalent (emp). 1.
DECISION SUPPORT SYSTEM FOR TRAFFIC ROAD SPLITTING STRATEGY BASED ON VEHICLE TYPES Ditdit Nugeraha Utama, M. Hasbi Hilmi, Nurul Fajrisani, Nadila Chataliya E., Muhammad Daivasmara Denaw, Helmy Fikri, Hutomo Agung, Fajar Anang C., Brian Adrie K. Laboratory Optimization Models and Systems for Decision Support, Information Systems Department, UIN Syarif Hidayatullah Jakarta
ABSTRACT
DISCUSSION AND RESULT
Computer based calculation is more efficient than manual calculation in solving a complex and detailed problem. In this research, method fuzzy logics was used to determine the strategy for splitting the traffic road based on vehicle types. Fuzzy value obtained by combining both parameters saturation degree and speed of free-flow. By crisping the index of traffic road splitting based on service level, the decision can be taken. The solution for congestion problem by splitting the traffic road has been effective proven in decreasing the side disturbance that consists of pedestrian, un-moving vehicles, slow vehicles, and in / out vehicles values.
Data regarding the degree of saturation value based on our observation in Jl. Metro Pondok Indah on Thursday, 9th of June 2016. Light Vehicle (LV)
Heavy Vehicle (HV)
Motorcycle (MC)
Passenger Car Equivalent (emp)
1
1.2
0.25
Qkend % fsmp
3,411.00 28.71
195.00 1.64
8,274.00 69.65
11,880.00 100.00
28.71
1.97
17.41
0.32
Qsmp
97,937.05
384.09
144,063.71
3,846.90
RESEARCH METHODS
Value
Two methods that we practically used in our study: literature review and observation. In addition, the method fuzzy logics is a main method used in calculation to technically produce the objective decision.
MEMBERSHIP FUNCTION Three types of membership function operated to determine the degree of saturation, free flow speed, and level of service.
Total Volume
Base Capacity (Co)
Road Width Adjustment Factor (FCw)
Split Ways Adjustment Factor (FCsp)
Side Distrubance Adjustment Factor (FCsf)
City Size Adjustment Factor (FCcs)
Road Capacity( C )
7,920.20
0.97
1.00
0.92
1.00
7,053.41
The result was obtained based on fuzzy calculation in determining the value of service level. Degree of Saturation
Free Flow Speed
Level of Service
Starting Value
0.55
50.71
60.41%
New Value (After Splitting Ways)
0.51
56.49
64.80%
Efficiency (Increased value of Level of Service)
7.27%
Recommendation: traffic road splitting decision practically can increase the value of service level around 5%. It means, the decision was quantitatively proven where it can practically increase the service level of selected traffic road.
Degree of Saturation 1,2
1
0,8
SYSTEM DESIGN
0,6
USECASE DIAGRAM
0,4
parameters justification and measurement
0,2
0 0
0,1
0,2
0,3
Very Smooth
0,4
0,5
Smooth
0,6
0,65
0,7
Begins to Saturate
0,75
0,8
Saturated
0,9
1
1,1
Very Saturated
1,2
making decision
Obstructed
Free Flow Speed 1,2
DISHUB
Reporting
1
MAIN DASHBOARD OF SYSTEM 0,8
0,6
0,4
0,2
0 0
20
33
Jammed
35
40
50
Volume Approaching Capacity
60
70
Unstable
80
Fairly Stable
90
95
Stable
Free
Level of Service 1,2
1
FUZZY RULES
0,8
0,6
0,4
0,2
0 0
20
25
30
35
40
45
50
55
60
F
E
D
C
65
B
70
75
A
80
85
90
95
100
No
Rules
1
Very Fast (Degree of Saturation) ᴧ High Free Flow Speed (Free Flow Speed) A (Level of Service)
2
Fast (Degree of Saturation) ᴧ Stable Traffic, Speed Begin to Limited (Free Flow Speed) B (Level of Service)
3
Stuck (Degree of Saturation) ᴧ Stable Traffic, Limited Speed(Free Flow Speed) C (Level of Service)
4
Begin to Saturate (Degree of Saturation) ᴧ Close to Unstable Traffic (Free Flow Speed) D (Level of Service)
5
Saturate (Degree of Saturation) ᴧ Unstable Traffic (Free Flow Speed) E (Level of Service)
6
Very Saturated (Degree of Saturation) ᴧ Jammed (Free Flow Speed) F (Level of Service)
CLASS DIAGRAM
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