Traffic Signal Controller Optimization Through VISSIM to Minimize Traffic Congestion, CO and NOx Emissions, and Fuel Consumption
Dinakara Gunarathne,
Niranga Amarasingha,
Vasantha Wickramasighe
Abstract:In developing countries with heterogeneous traffic, such as Sri Lanka, it is possible to observe severe traffic congestion at intersections and traffic corridors. The main objective of this study was to demonstrate the optimization of traffic signal controllers using VISSIM microsimulation software. It aimed to minimize traffic congestion, emissions, and fuel consumption. This study focused on developing a traffic signal controller optimization program for a congested traffic corridor which consisted of a thre… Show more
“…The average number of vehicles observed was approximately 43,792. At Intersection J2, the highest number of vehicles was recorded on 24 August 2023, at 34,564, while the lowest was on 25 January 2023, at 28,308 The average number of vehicles observed was approximately 31,292. At Intersection J3 the highest number of vehicles was recorded on 28 December 2023, at 58,098, while the lowest was on 26 January 2023, at 39,067.…”
Section: Carsmentioning
confidence: 94%
“…Due to the diverse results of the previous stage of analysis, the microsimulation in PTV Vissim [26][27][28] will be based on the example of Intersection J3. The model includes three variants: with maximum intensity as indicated in the previous stage of analysis, minimum vehicle intensity, and average intensity from the entire study period.…”
The article presents an analysis of the relationship between the price of fuel and diesel oil and traffic intensity in the city. First, an analysis of fuel prices was prepared over fourteen months and the number of passenger cars and trucks per day was examined at the same time. From the results obtained, the highest, lowest, and average values were obtained. On this basis, it was noticed that when the price of fuel was the highest, there were fewer passenger cars, but when the price dropped, the number of vehicles increased. Another conclusion from the analysis is that when the price of fuel dropped even more than the average, there were no more cars. Based on the analysis, it was noticed that the number of vehicles may vary by up to 8000 passenger vehicles per day within one intersection. Then, a microsimulation model was performed in the PTV Vissim program to check the amount of pollution generated by vehicles in three variants: the highest, lowest, and average traffic intensities. The results show that the average daily CO pollution at the moment of the lowest traffic intensity is 15,000 g lower than the average, so the high price of fuel causes much less pollution for the consumer.
“…The average number of vehicles observed was approximately 43,792. At Intersection J2, the highest number of vehicles was recorded on 24 August 2023, at 34,564, while the lowest was on 25 January 2023, at 28,308 The average number of vehicles observed was approximately 31,292. At Intersection J3 the highest number of vehicles was recorded on 28 December 2023, at 58,098, while the lowest was on 26 January 2023, at 39,067.…”
Section: Carsmentioning
confidence: 94%
“…Due to the diverse results of the previous stage of analysis, the microsimulation in PTV Vissim [26][27][28] will be based on the example of Intersection J3. The model includes three variants: with maximum intensity as indicated in the previous stage of analysis, minimum vehicle intensity, and average intensity from the entire study period.…”
The article presents an analysis of the relationship between the price of fuel and diesel oil and traffic intensity in the city. First, an analysis of fuel prices was prepared over fourteen months and the number of passenger cars and trucks per day was examined at the same time. From the results obtained, the highest, lowest, and average values were obtained. On this basis, it was noticed that when the price of fuel was the highest, there were fewer passenger cars, but when the price dropped, the number of vehicles increased. Another conclusion from the analysis is that when the price of fuel dropped even more than the average, there were no more cars. Based on the analysis, it was noticed that the number of vehicles may vary by up to 8000 passenger vehicles per day within one intersection. Then, a microsimulation model was performed in the PTV Vissim program to check the amount of pollution generated by vehicles in three variants: the highest, lowest, and average traffic intensities. The results show that the average daily CO pollution at the moment of the lowest traffic intensity is 15,000 g lower than the average, so the high price of fuel causes much less pollution for the consumer.
“…According to [11]. the VISSIM microsimulation software is the most well-known and often used of those.…”
Section: Traffic Signal Coordinationmentioning
confidence: 99%
“…From Mother Theresa intersection to Sarvanton intersection, travel time and delay were reduced after signal synchronization by 102.4 seconds and 110.32 seconds, respectively. The traffic signal controllers have been optimized for a congested corridor in Malabe town, Sri Lanka using Vissim software [11]. They found that emissions and fuel consumption were reduced by 14.89%.…”
Transportation problems in the form of congestion, delays, as well as air and noise pollution are very common in several big cities in Indonesia such as Denpasar City (the capital of Bali Province). Traffic congestion has been experienced on almost all major roads in Denpasar City and one of them is Sudirman road. There are several signalized intersections located at close distances. Traffic jam is usually experienced during peak hour which causes an increase in travel time, energy consumption, and air pollution. There is a potential to coordinate these intersections in order to reduce congestion. The objective of this study is to optimize intersection performances by coordinating traffic signals. This study applied a micro-simulation approach by using Vissim software. The t-test method was used to test the validity of the simulation. The results indicated that the intersections were in the level of service F. Comparison of the intersection performances showed that there was an increase in the intersection performances as indicated by the decrease in the queue length, delay, stop delay, and fuel usage. There was a decrease in the queue length of about - 18.52% (from 544.63 m to 443.74 m), a decrease in the delay of about - 20.41% (from 344.19 sec/pcu to 273.94 sec/pcu), a decrease in the stop delays of about -21.61% (from 32.84 sec/pcu to 25.74 sec/pcu) and a decrease in the fuel use of about -5.15% (from 17.19 liters/hour to 16.30 liters/hour).
“…Intersection saturation flow and intersection capacity are important parameters in planning and regulating traffic at highway intersections. Knowledge of intersection saturation flow is needed to calculate intersection capacity and plan efficient traffic management [6]. Traffic intersections, as road nodes, are also a major concern because they often cause conflicts between traffic participants [7].…”
The city of Kediri, as the third largest city in East Java, has cultural heritage, history and natural beauty that attracts visitors from various regions. However, population growth and motorized vehicles cause traffic jams. Signalized intersections, which are a solution to control intersection conflicts, require knowledge of intersection saturation flows to plan efficient traffic management. Analysis methods such as MKJI 1997 and Time Slice with Vehicle Operating Cost (BOK) calculations help design effective solutions. This research shows that adjusting cycle times, increasing effective width, and optimizing signals can improve transportation system performance and reduce congestion in Kediri City. Cycle time analysis taking into account factors such as vehicle type, traffic volume, and vehicle speed resulted in a cycle time of 90.7 seconds. The impact can be seen in the Degree of Saturation (DS) at various intersection arms, with service variations from E to F. Research also shows a decrease in waiting time/queuing for signal lights from 135 seconds to 118 seconds, which results in a decrease in the degree of saturation (DS) and changes in time cycle. The use of Smart Traffic Lights and traffic engineering, such as immediate left turns on the east arm and additional signs, is required. Evaluation of congestion cost efficiency shows that changing the value of side barriers can save Rp. 22,679,183 in the next five years.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.