- Open Access
- Authors : Pranav Kumar Pal , Kamal Nabh Tripathi
- Paper ID : IJERTV11IS040218
- Volume & Issue : Volume 11, Issue 04 (April 2022)
- Published (First Online): 05-05-2022
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
Research on Design of Traffic Signals At Non-Signalized Intersections in Lucknow City
Pranav Kumar Pal
-
tech Scholar, Transportation Engineering Babu Banarasi Das University Lucknow, India
Kamal Nabh Tripathi
HOD-In Charge and Asst. Prof Department of Civil Engineering
Babu Banarasi Das University Lucknow, India
Abstract:- In India growth of population plays an important role to increase the congestion at intersection because every person used separate vehicle for movement due to this reason traffic become out of control and create problem like accident, jam at the intersection. As we know every day many people die in road accidents due to lack of traffic control system because all intersections are not well signalized. So, it is not possible to control the movement of vehicles by traffic police due to increase in number of vehicles at intersection. Therefore, all intersections should be well signalized and traffic signals are specially designed for the emergency vehicles like Ambulance, Fire vehicles because emergency vehicles face delay at intersection when traffic at red light and it is very dangerous for our society. In this paper, Design of traffic signal is done with the help of the Indian Road Congress (IRC) and Websters method. Traffic signal is better option for the effective transportation. Traffic signal systems are used to control the flow of vehicles with the help of traffic lights, where many roads meet together and make junction. Traffic volume studies are used to laid down mainly how many vehicles are moving on the road at a particular section during a particular time. Traffic signal is the best way of control vehicle movement at intersections without any accidents and conflicts.
Keywords- Traffic signal, Traffic volume, Traffic light, PCU, IRC.
1.INTRODUCTION
Traffic signals are one of the most effective and flexible active control of traffic and is widely used in several cities world-wide. Traffic signals are used to control the flow vehicles passing through the intersection. The first traffic signal is reported to have been used in London as early as in 1868 and used two lamps red and green to control the traffic for night use at intersection. Traffic signals are placed at intersection and crossing to give the instruction to driver for further movement. Now days traffic signal has three lights Red, Amber and Green. Red light indicates to vehicles driver to stop, amber light indicates to vehicles driver to slow down the vehicle for stop. Green light indicates to driver for go. There are six types of traffic signal used- Traffic Control Signals, Fixed Time Signals, manually operated signals, Traffic Actuated Signals, Pedestrian Signals, Special Traffic Signals. A modern traffic signal containing of three basic subsystems: the signal lights in their housing, the supporting arms or poles, and the electric controller. The signal lights and housing are known as the signal light stack. A traffic signal system generally consists of three main components: a system control, field equipment, and communications. In the installation of traffic signals equipment is the first procured from the supplier then installed on intersection. This includes all poles, heads, push button facilities, detection and cabling. Traffic law follow is the most essential aspects of driving and can increase your safety as well as of the people around you.
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REVIEW OF LITERATURE
Tariq Azizr, Er. Neeraj kumar (2021) The purpose of this paper is to design the fixed-timed traffic signal control system for the intersections and to assess performance of the over-time design system. It is compulsory for every vehicle to pass through a signalized intersections for achieve the best performance of intersection without any conflict. Traffic signals give instruction to only one lane users to move at a time while other lane users are stop and wait for their chance by the indication of traffic lights. Traffic signals are designed to control the flow of vehicles at intersection with the help of traffic lights and sensors and provide right way and also limit the stoppage time. Therefore, traffic signal installation is most important at each intersection for fluent flow of vehicle.
Madhan Kumar V, Renuka Prasad M (2020) The main purpose of this paper is to Signal Re- Design through IRC and Websters Technology in Bangalore Metropolitan. There are two intersection needed Re-design traffic signal first one is G. Palya and second one is Jakkur due to more congestion and precaution. There are re- design traffic signal timings for the present vehicular volume count. For the present traffic IRC method is suitable to redesign of traffic signal timings whereas websters method are not sufficient. IRC method of signal timings implement to avoid the major accidents on particular intersection.
Wei-Hsun Lee and Chi-Yi Chiu (2020) The main purpose of this paper is to design the smart traffic signal to reduce the traffic congestion and improve the public transport efficiency with the help of ITS applications. Smart traffic signal means, no any fault take place at the time of working of signals. In smart cities, traffic signals are also designed for the emergency vehicles like Ambulance, Fire Fighting vehicles. In United States, there were 3708 accidents involving emergency vehicles between 2004 and 2008. Emergency vehicle drivers also slow down the vehicle due to red light at intersection. Therefore, traffic signal design for emergency vehicles is most important for emergency purpose and also give the first priority to emergency vehicles to pass through the intersection without any conflict.
Raghavendra S. Sanganaikar et al, (2018) In this paper the design of traffic signal is done according to the IRC93 method of signal design by adopting maximum average passenger count unit (PCU) on the intersection in every direction. In this paper data have taken of the Kundalahalli junction, which is surrounded by 2 shopping malls, restaurants, corporate offices, etc. 3 bus-stand are also near this junction so, there are large amount of people and vehicles passing through kundalahalli junction. Classified traffic volume (cars, two wheelers, buses, trucks) are collected for a period of 12 hours (7:00-19:00) in order to have entire day data and to identify peak and non-peak hours. The data was collected for the interval of 15 minutes for 12 hours for 7 days. The 15 minutes data is then converted to 1 hour to find the traffic volume in PCU/ hour. The PCU values was converted successfully and the maximum 7 days average peak values was found to be 3582.
Vikram kumar and Neeraj kumar (2018) The purpose of this paper to traffic volume count study at Agrasen Chowk intersection, Yamuna Nagar. Traffic volume studies is done with the help of classification of vehicles like motorcycles, cars, jeep, buses, trucks. So, the traffic volumes are collected by manual counting. In this paper traffic signal for Agrasen chowk is designed by the various traffic surveys. For the scope of the project prediction is very important before the design, Annual Average Daily Traffic (AADT) is common flow utilized in geometric standards for highways, improvement of existing facilities. Average Daily Data is collected only for short time. The studies of Agrasen Chowk intersection conclude better understanding of the problems and finding of the effective measures to overcome all those problems.
Ishant Sharma and Dr. Pradeep K. Gupta (2015) The main purpose of this paper for provision of Automated Volume Based Traffic Signal System at Intersections. Automatic traffic signal prevents thefuel, time, speed up clearance and make intersection ecofriendly by reducing exhaust emissions. In this paper data is taken from Chandigarh city which is also facing the congestion problem at the intersection. In this paper the existing traffic signals are replaced with automatic traffic signals which sense the real time traffic and provide green time for the clear off traffic at the intersections. So, this paper conclude that existing traffic signals is replaced with the Automatic traffic signals for economic, reduce delay and ecofriendly purposes.
P. Saranya, Malliga Senthil (2015) The main purpose of this paper is to estimate the Cycle time of vehicle by Traffic controller with the help of Density Based adaptive Traffic Signal System. When a vehicle reached in the area of vehicular network then that vehicle is registered and achieve a certificate from the road Side Unit. Road side unit counts the number of vehicles and transmits that data to Traffic controller. And traffic controller generated the cycle time for this vehicle according to the vehicle density at intersection.
Lutfun Nahar Nipa, Md. Mohibul Islam (2015) The main Objective of this paper is to decrease the overall waiting time of traffic at intersection with the help of Intelligent Traffic Control System Based on Round Robin Scheduling Algorithm. This work is done with the help of microcontroller for cross the road junction which are so busy. This project is proposed to develop less traffic jam at intersection.
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Vidhya, A. Bazila Banu (2014) The main purpose of this paper is designed to develop a Density Based Dynamic Traffic Signal System. Across the world large number of cities face the problem of traffic congestion. Now a days the time of traffic flow fixed lane by lane due to density of vehicles. Sensors are used for observing the movements of automobiles and calculate the number of vehicles on the lane. When the density of lane change then the timing of signal will also change. Traffic congestion increased due to major reason of high number of vehicles caused by population. In this paper density of vehicles measurement done in the signal with the help of open cv in the system.
Tang-Hsien Chang, Jen-Ting Lin (2000) The main purpose of this paper is designed to Optimal Signal Timing for an Oversaturated Intersection during congestion hour. In this paper two models are used for design first one is Discrete dynamic optimization model and other is Index model. Both proposed models are determined the optimal cycle length and optimal green time for the particular intersection.
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-
DATA COLLECTION The survey work has done at 5 Intersections namely-
-
APTRON INTERSECTION AT DEVA ROAD, LUCKNOW
-
NAVBASTA KALA INTERSECTION AT DEVA ROAD, LUCKNOW
-
SHIVPURI INTERSECTION AT DEVA ROAD, LUCKNOW
-
MACHALI MARKET INTERSECTION NEAR CHINHAT, LUCKNOW
-
KENDRIYA VIDYALAYA INTERSECTION GOMTI NAGAR, LUCKNOW
The survey has been done for to give practical relation in the research work and this purpose the first thing I recorded the above intersections for 1-2 hours(12pm-2pm) with the help of camera. And extract the number of commercial vehicles & personal vehicles like Bus, Truck, Tractor, four-wheeler, three-wheeler, two-wheeler, Cycle and Animal drawn. After data extraction, I have changed the number of vehicles in PCU/hr.
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APTRON INTERSECTION AT DEVA ROAD LUCKNOW
TYPE OF VEHICLE
NUMBER OF VEHICLE
PCU VALUE (PCU/hr.)
PHASE-1
PHASE-2
PHASE-3
PHASE-1
PHASE-2
PHASE-3
BIKE
696
358
536
348
179
268
CAR
319
80
245
319
80
245
AUTO
92
20
76
92
20
76
CYCLE
66
24
30
33
12
15
BUS
23
8
12
69
24
36
TRUCK
40
32
23
120
96
69
TRACTOR
13
18
7
39
54
21
TOTAL
= 1249
= 540
= 929
=1020
= 465
= 730
Table: 3.1 Volume of Vehicles at Intersection
-
SHIVPURI INTERSECTION AT DEVA ROAD LUCKNOW
TYPE OF VEHICLE
NUMBER OF VEHICLE
PCU VALUE (PCU/hr.)
PHASE-1
PHASE-2
PHASE-3
PHASE-1
PHASE-2
PHASE-3
BIKE
720
410
722
360
205
361
CAR
350
107
335
350
107
335
AUTO
90
30
65
90
30
65
CYCLE
44
54
56
22
27
28
BUS
16
8
12
48
24
36
TRUCK
11
——
9
33
——
27
TRACTOR
9
4
6
27
12
18
TOTAL
= 1240
= 613
= 1205
= 930
= 405
= 870
Table: 3.2 Volume of Vehicles at Intersection
-
NAVBASTA KALA INTERSECTION AT DEVA ROAD LUCKNOW
TYPE OF VEHICLE
NUMBER OF VEHICLE
PCU VALUE (PCU/hr.)
PHASE-1
PHASE-2
PHASE-3
PHASE-1
PHASE-2
PHASE-3
BIKE
756
360
734
378
180
367
CAR
330
137
320
330
137
320
AUTO
102
32
85
102
32
85
CYCLE
44
38
34
22
19
17
BUS
12
6
7
36
18
21
TRUCK
25
11
13
75
33
39
TRACTOR
9
——–
4
27
——–
12
TOTAL
= 1278
= 584
= 1197
= 970 PCU/hr.
= 419 PCU/hr.
= 861 PCU/hr.
Table: 3.3 Volume of Vehicles at Intersection
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MACHALI MARKET INTERSECTION NEAR CHINHAT TIRAHA LUCKNOW
TYPE OF VEHICLE
NUMBER OF VEHICLE
PCU VALUE (PCU/hr.)
PHASE-1
PHASE-2
PHASE-3
PHASE-1
PHASE-2
PHASE-3
BIKE
640
420
366
320
210
183
CAR
250
145
135
250
145
135
AUTO
90
105
48
90
105
48
CYCLE
18
86
64
9
43
32
BUS
8
——-
4
24
——-
12
TRACTOR
4
——-
——-
12
——–
——–
TOTAL
= 1010
= 756
=617
705 PCU/hr.
503 PCU/hr.
410 PCU/hr.
Table: 3.4 Volume of Vehicles at Intersection
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ANDHA MOD INTERSECTION NEAR KENDRIYA VIDYALAYA GOMTI NAGAR LUCKNOW
TYPE OF VEHICLE
NUMBER OF VEHICLE
PCU VALUE (PCU/hr.)
PHASE-1
PHASE-2
PHASE-3
PHASE-1
PHASE-2
PHASE-3
BIKE
730
420
570
365
210
285
CAR
300
185
325
300
185
325
AUTO
190
85
205
190
85
205
CYCLE
36
44
54
18
22
27
BUS
5
——
——
15
——
——-
TOTAL
= 1261
= 734
= 1154
888 PCU/hr.
502 PCU/hr.
842 PCU/hr.
Table: 3.5 Volume of Vehicles at Intersection
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-
METHODOLOGY
-
Traffic signals are the best way to control the congestion at intersections. Instructions are given to driver with the help of traffic lights (Red, yellow and green). Here, we use 2-methods for the design of traffic signal at non-signalized intersection.
-
Websters method
-
IRC method
WEBSTERS METHOD- Websters method is a rational approach for signal design. The design is simple and is totally based on formula laid down by webster. In this method, the total cycle of the signal is determined which forms a total least delay occurring at signal.
IRC METHOD- The design of traffic signal according to IRC method by adopting maximum P.C.U on the intersection in each direction. Thus, traffic signal system should be introduced at the intersection with total cycle time of 140 seconds.
The signal design procedure involves six major steps. They include:
-
Phase Design
-
Determination of Amber Time and Clearance time
-
Determination of cycle length
-
Apportioning of Green Time
-
Pedestrian Crossing Requirements
-
Performance evaluation of the design obtained in the previous steps.
-
Design Procedure for websters Method
-
Normal Flow of Vehicles on Road, Denoted by q.
-
Saturation Flow of Vehicles on Road, denoted by S.
-
Critical Flow Ratio of Vehicles on Road, denoted by Y and Y= q/S.
-
Total Lost Time L= 2n+R (n- number of Phase, R- All Red Time for Pedestrian, 12 Seconds.)
-
Optimum Cycle time, Co= 1.5L+5/1-Y (seconds)
-
Effective Green Time Per Cycle= Co-L
-
Effective Green Time for Phase 1= Y1/Y (Co-L)
-
Effective Green Time for Phase 2= Y2/Y (Co-L)
-
Effective Green Time for Phase 3= Y3/Y (Co-L)
-
-
Design Procedure for Traffic Signal by IRC Method
-
Width of Road
-
Pedestrian walking speed= 1.2 m/s.
-
Step-1 Pedestrian Crossing Time= (width of road/1.2) +7
-
Step-2 Minimum Green Time for Traffic= (Pedestrian Crossing Time* Normal Flow) /Minimum Normal flow on Road.
-
Step-3 Revised Green Time for Traffic Signal = (Adding 2.0 seconds each towards Clearance Amber and 2.0 seconds Inter green Period for each Phase)
-
Step-4 Check for optimum signal cycle by Websters Method-
-
Co= 1.5L+5/1-Y (seconds)
5.1 APTRON Intersection at Deva Road Lucknow
-
RESULT
120
107
107
107
100
86
80 75
75 76 75
64
59
60 53
44
41
40
29 29
19 20
20 14
2 2 2 2 2 2
Webster's Method Phase A
IRC Method Phase A
Webster's Method Phase B
IRC Method Phase B
Webster's Method Phase C
IRC Method Phase C
Green Time
41
29
19
14
29
20
Amber Time
2
2
2
2
2
2
Red Time
64
44
86
59
76
53
Cycle Time
107
75
107
75
107
75
0
5.1 Traffic Signal Timing in Seconds
5.2 SHIVPURI Intersection at Deva Road Lucknow
120 114
114
114
100 93
80
80 72
60 49
40
40 29
19
20
80 80
75
65
52
37
26
13
2 2 2 2 2 2
Webster's Method Phase A
IRC Method Phase A
Webster's Method Phase B
IRC Method Phase B
Webster's Method Phase C
IRC Method Phase C
Green Time
40
29
19
13
37
26
Amber Time
2
2
2
2
2
2
Red Time
72
49
93
65
75
52
Cycle time
114
80
114
80
114
80
0
Green Time Amber Time Red Time Cycle time
5.2 Traffic Signal Timing in Seconds
5.3 NAVBASTA KALA Intersection at Deva Road Lucknow
120 114
114
114
100 93
80
80 71
60
49
41
40
29
19
20
80 80
75
65
52
37
26
13
2 2 2 2 2 2
Wester's Method Phase A
IRC Method Phase A
Webster's Method Phase B
IRC Method Phase B
Webster's Method Phase C
IRC Method Phase C
Green Time
41
29
19
13
37
26
Amber Time
2
2
2
2
2
2
Red Time
71
49
93
65
75
52
Cycle Time
114
80
114
80
114
80
0
5.3 Traffic Signal Timing in Seconds
-
MACHALI MARKET Intersection Near CHINHAT Lucknow
80
70 68
60
60
50 45
40 37
68 68
60 60
53
50
46
43
30
21 21
20
10
16 15 13 12
2 2 2 2 2 2
Webster's Method Phase A
IRC Method Phase A
webster's Method Phase B
IRC Method Phase B
Webster's Method Phase C
IRC Method Phase C
Green Time
21
21
16
15
13
12
Amber Time
2
2
2
2
2
2
Red Time
45
37
50
43
53
46
Cycle Time
68
60
68
60
68
60
0
Table: 5.4 Traffic Signal Timing in Seconds
ANDHA MOD Intersection Near KENDRIYA VIDYALAYA Gomti Nagar Lucknow
140
120 115
115
115
100
80 75
90
77
70 70 70
60 55
45 46
36
38
40
23 23 22
20 13
2 2 2 2 2 2
Webster's Method Phase A
IRC Method Phase A
webster's Method Phase B
IRC Method Phase B
Webster's Method Phase C
IRC Method Phase C
Green Time
38
23
23
13
36
22
Amber Time
2
2
2
2
2
2
Red Time
75
45
90
55
77
46
Cycle Time
115
70
115
70
115
70
0
Table: 5.5 Traffic Signal Timing in Seconds
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CONCLUSION
-
Installation of Traffic Signal at Intersection Reduce Congestion of Vehicles.
-
Installation of Traffic Signal at Intersection help for movement of Traffic securely without any Collision.
-
Traffic Signal reduce the number of accidents on roads like pedestrian accident and right- angle collision of Two Vehicles.
-
Installation of Traffic signal can increase the capacity of traffic handling at intersection without traffic police.
-
Traffic Lights are seen Easily in all Weather in day and night both.
-
Traffic Signal is Safe, efficient, accurate, and economical as compared to Traffic Police at Intersection.
-
Traffic Signal handled the heavy traffic at regular intervals without any interruption.
-
Main conclusion of my Research is that all Intersections are well signalized for better movement of vehicles at Intersections.
-
This project is proposed to developed less traffic jam at intersection.
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As Traffic Congestion has reached its peak level, we have designed our project much more enhanced and smart infrastructure traffic network.
7. FUTURE SCOPE
Based on this study and findings, it is believed that the better analysis can be done on those intersections where traffic capacity is more.
-
This Project is useful in developing countries and this Project has a bright future as it is being used at every Intersection in Countries like London, Amerika, Russia, Japan, China.
-
Traffic signal help us to control flow of Vehicles without traffic Police.
-
The signals with three Traffic Lights Green, Amber and Red are shown at intersection. So, Driver of Vehicles does not have any type of difficulty.
-
The vehicle user directly seen the traffic signal Indication at intersection and cross the intersection without any conflict and delay.
-
This project will lead to increase in technological trends and this will help the people in many ways.
8. REFERENCES
[1] Tariq Azizr, Er. Neeraj kumar TRAFFIC SIGNAL DESIGN International Research Journal of Engineering and Technology. Volume:08 Issue:03 Mar2021. [2] Wei-Hsun Lee and Chi-Yi Chiu Design and Implementation of a Smart Traffic Signal Control System for Smart City Applications. 16 January 2020. [3] Madhan kumar V, Renuka Prasad M SIGNAL RE-DESIGN Through IRC and WEBSTERS Technology International Research Journal of Science,Engineering and Technology. ISSN: 2395-4752, 2020.
[4] Raghavendra S. Sanganaikar et al., Design of Traffic Signal at Kundahallli Junction Bengaluru Karnataka. International Journal of Scientific & Engineering Research, volume 9, Issue 6, June-2018. [5] Vikram Kumar & Neeraj kumar Study of Design Traffic Signal International Research Journal of Engineering and Technology, Volume 5, Issue 12, Dec-2018. [6] Ishant Sharma & Dr. Pradeep K. Gupta Study of Automatic Traffic Signal System of Chandigarh ISSN: 2277-9655, July 2015. [7] P. Saranya & Malliga Senthil Density Based Adaptive Traffic Signal System January 2015. [8] Lutfun Nahar Nipa, Md. Mohibul Islam Intelligent Traffic control System Based on Round Robin Scheduling Algorithm International Journal of Scientific and Research Publication, Volume 5, Issue 8, ISSN 2250-3153, August 2015. [9] K. Vidhya, A. Bazila Banu Design Based Traffic Signal System International Journal of Innovative Research in Science, Engineering and Technology. Volume 3, Special Issue 3, March 2014. [10] Tang-Hsien Chang, Jen-Ting Lin Optimal Signal Timing for oversaturated Intersection Transportation Research Part- B Methodological 34 (6): 471- 491, August 2000.