Volume 15 Issue 08, August 2025
Impact factor: 2019: 4.679 2020: 5.015 2021: 5.436, 2022: 5.242, 2023:
6.995, 2024 7.75
http://www.internationaljournal.co.in/index.php/jasass
153
INFLUENCE OF TRAFFIC LIGHTS ON BOBURSHOH STREET IN ANDIJAN CITY
ON ECOLOGY AND FUEL CONSUMPTION
Muhriddin Komilov
Andijan State Technical Institute,
Assistant of the Department of Automotive Engineering and Transport
ABSTRACT:
This article analyzes the impact of traffic lights located on Al-Farg'oniy Street in
Andijan on traffic flow, fuel consumption, and the environmental situation. During the study, the
location of 12 traffic lights on this street, their operating hours, and traffic dynamics were
examined. An average of 300 cars per hour have been recorded, and due to improperly adjusted
traffic lights, vehicles are often forced to repeatedly stop and start
Keywords:
Exhaust gases, automobile, internal combustion engine, tire treads, brake pads,
environment,
As a result of the large number of vehicles, the amount of pollutants released into the atmosphere,
such as SO2, NOx, CO, PM10, and PM2.5, is increasing. Throughout the year, emissions from
cars lead to the deterioration of the city's air quality. In addition, the noise level for residents
living near major roads and intersections may exceed normal standards [1-3].
Over the past decade, a significant increase has been observed in the entire vehicle fleet within
the Andijan region. Growth indicators were analyzed based on data from the Andijan Regional
Department of Internal Affairs, examining the total number of registered vehicles in the region
by vehicle category. The number of registered vehicles in the Andijan region is presented in the
following tables.
Currently, the number of vehicles in the Andijan region is also growing rapidly. Harmful gases
emitted by vehicles (CO2, NOx, CO, PM, and others) are considered one of the main sources of
environmental pollution.
A practical study was conducted on Boburshoh Street in the city of Andijan, for which we
collected data on road traffic flow. There are 12 traffic lights in the observation area. We
observed the difference between the theoretical "green wave" where cars don't stop and the "red
wave" when stopping at intersections, ranging from 1 to 12 stops. Thus, we assumed that traffic
along the entire length of the observation route is consistent, which is certainly incorrect - traffic
is sometimes heavy, sometimes light. Additionally, we assumed that the day we collected the
data was a typical day, and therefore the data obtained are applicable to all days of the year,
although we know this is not true for Sundays and holidays. Furthermore, we only studied the
traffic flow in the north-south direction and did not account for traffic on the connecting roads.
We aimed to indicate the environmental impact of increased fuel consumption at intersections in
a specific direction on a given day [4,5].
Measurement results from a relatively small area (9.8 km of road) show significant differences in
fuel consumption, which can amount to more than 1.5 million liters of fuel annually between the
"green" and "red wave." This can be extrapolated to a larger urban area through appropriate
multiplication.
Table 1
Volume 15 Issue 08, August 2025
Impact factor: 2019: 4.679 2020: 5.015 2021: 5.436, 2022: 5.242, 2023:
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154
Average acceleration times to 50 km/h at the required speed and distances covered during
acceleration
Vehicle Type
Average
acceleration
time from 0 to 50 km/h
(sec)
Distance covered during
acceleration (m)
Cars
10.4
72
Light commercial vehicles (< 3.5t) 12
83
Medium-duty trucks (3.5t - 7t)
14
97
Heavy-duty trucks (over 7t)
16
111
Vehicles with trailers
18.5
128
Buses
15
104
Motorcycles
8.2
57
In our calculations, we did not account for multiple possible stops at the same intersection - we
assumed that the vehicle passed through the intersection without stopping, although in practice
this is not always the case. Often, at traffic lights and in traffic jams, vehicles accelerate and
decelerate several times.
Research shows that traffic flow has an unexpectedly significant impact on fuel consumption and,
consequently, also affects the amount of PM10 particles. On Boburshoh Street in Andijan city,
which spans 9.8 km and has 12 traffic lights, there are 12 possible traffic patterns for traveling
this route. It can be concluded that in the best-case scenario, an average of 4,939 liters of fuel is
consumed per day, while in the worst-case scenario, 22,219 liters are consumed. Of course, it is
necessary to account for the damage caused by braking, tire wear, and general vehicle vibrations
resulting from starting and stopping. In addition to the direct costs due to increased fuel
consumption, we must also consider environmental pollution caused by increased noise and
significant dispersion of CO
2
and PM
10
particles (including PM
2.5
and PM
1
). If traffic lights on
Boburshoh Street in Andijan city are managed rationally or a "green wave" system is
implemented, it would be possible to save more than 17 thousand liters of fuel per day, which in
turn would bring great benefits to both the environment and the economy.
Conclusion
Based on the data studied on Boburshoh Street in Andijan city, it was determined that the
number of traffic lights in this area and their operation directly affect the environmental situation
and fuel consumption. As a result of frequent stops and re-starts of vehicles at traffic lights, fuel
consumption is increasing, and more harmful gases are being released into the atmosphere -
carbon dioxide (CO2), nitrogen oxides (NOx), hydrocarbons (HC), and other pollutants. This not
only reduces fuel efficiency but also leads to air pollution. The analysis showed that traffic lights
that are improperly adjusted or do not account for traffic flow are causing traffic congestion.
Volume 15 Issue 08, August 2025
Impact factor: 2019: 4.679 2020: 5.015 2021: 5.436, 2022: 5.242, 2023:
6.995, 2024 7.75
http://www.internationaljournal.co.in/index.php/jasass
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This situation not only negatively affects road safety but also causes significant damage to the
environment.
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