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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 115
Investigation And Analysis of Traffic Flow Capacity And Level of Service
Determination of Three Bridges Across Sabarmati River In Ahmedabad
Metro City
Mr. Patel Dharmesh H.1, Mr. Dwarik Dave2
1Student, Dept. of Civil Engineering, Hasmukh Goswami College of Engineering,Gujarat, India,
2Professor, Dept. of Civil Engineering, Hasmukh Goswami College of Engineering,Gujarat, India.
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - India is one of the world's developing nations.
There are numerous intricate issues with the nation's
transportation system. These include an ever-growing
population, an increase in vehicles, andcloggedroads. Gujarat
is one of the states in our nation that is growing the fastest.
Ahmedabad is a growing metropolis. The city is Gujarat's
largest city. Out of the 11 bridges that span the Sabarmati
River in Ahmedabad, some of the bridges that connect the
city's residential and commercial areas experience heavy
traffic during peak hours, causing backups and bottlenecks in
some areas. Following a survey, the three bridges—Swami
Vivekanand Bridge, Sardar Bridge, and Subhash Bridge—are
chosen for analysis of traffic flow capacity and service level. In
order to suggest improvements in the current traffic
congestion on selected bridges, it is important to quantify the
traffic characteristics in the traffic circumstances that now
exist on those bridges. By measuring the parametersfortraffic
speed, flow, and density on the chosen bridges during peak
hours, I will be able to determine the traffic flow capacity and
Level of Service in this study. This could be useful to determine
whether or not the current bridges can safely handle the
current and future increases in traffic flow.
Keywords: Bridge, Traffic, Population.
1. INTRODUCTION
In developing nations like India, traffic congestion is one of
the main problems that most metropolises face, and
numerous strategies have been implemented to reduce it.
The initial stage in such attempts is to identifythefeaturesof
congestion because this information is crucial for choosing
the right course of action. Understanding the fundamentals
of traffic flow characteristics, such as traffic volume under
such traffic conditions, is important for the planning,
designing, and operating of roadway systems. Congestion
affects the movement of people and freight and is closely
related to the past of having high levels of accessibility and
mobility, both in perception and in actuality. Traffic
congestion wastes time and resources, results in stress and
pollution, lowers productivity, and has a financial impact on
society.
2. OBJECTIVE & AIM
A. Objective
 To calculate the traffic capacity parameters, including
volume, composition, speed, and density ofthetrafficaswell
as travel time on the chosen bridges.
 To determine the selected bridges' level of service.
To recommend solutions for reducing traffic congestion on
the chosen bridges
B. Aim
By measuring traffic speed, flow, and density parameters on
the selected bridges across the Sabarmati River during peak
hours in Ahmedabad city, the study's objective is to
determine traffic flow capacity and Level ofService.Thegoal
of the study is to identify corrective actions for reducing
traffic congestion at particular bridges.
3. PROBLEM STATEMENT
Traffic congestion is an issue in India that has becomeworse
because of ongoing urbanization, a growth in the number of
private automobiles, the heterogeneous character of the
traffic, the lack of lanediscipline,unlawful encroachments on
urban streets, and a variety of other factors. What is the
cause of the rise in car operating costs? Because there is a
shortage of available road space, bottleneck conditions
frequently occur on the roads in Ahmedabad, the fourth
fastest growing city in the world. Traffic is backed up at the
Sabarmati River bridges because of a bottleneck situation.
Out of the nine bridges that span the Sabarmati River in
Ahmedabad, some of the bridges that connect the city's
residential and business areas have significant trafficduring
peak hours, causing backups and bottlenecks in some areas.
Following a survey, the three bridges—Swami Vivekanand,
Sardar, and Subhash—were chosen for analysis of traffic
flow capacity and service level. Therefore, it is intriguing to
calculate the traffic flow capacity by observing the
parameters of traffic flow, density, and speed on the chosen
bridges during busy periods in Ahmedabad.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 116
4. METHODOLOGY CHART & STUDY AREA
Three bridges—Swamivivekanand Bridge, Sardar Bridge,
and Subhash Bridge—are chosen for this study assessment.
In the northern region of Gujarat and the western region of
India, Ahmedabad is situated along the banks of the
Sabarmati River. It covers 205 km2 and is situated at
23.03°N 72.58°E. 53 metres is the average elevation.
Fig-1: Methodology Chart
5. DATA COLLECTION
Fig-2:Graph of PCU/15min (Sahibaug to RTO)
Fig-3:Graph of PCU/15min (RTO to Sahibaug)
Fig-4:Cumulative Traffic Flow (Sahibaug to RTO)
Fig-5:Cumulative Traffic Flow (RTO to Sahibaug)
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 117
Fig-6:Graph of PCU/15min (Astodiya Darwaja to Parimal
Garden )
Fig-7:Cumulative Traffic Flow (Astodiya Darwaja to Parimal
Garden)
Fig-8:Graph of PCU/15min (Gita Mandir to Paladi)
Fig-9:Cumulative Traffic Flow (Gita Mandir to Paladi)
6. RESULT
Table-1: Results of Traffic Flow count
Bridge Name Direction PCU/hr
Sardar Bridge Gita Mandir to
Paladi
6013.5
Paladi to Gita
Mandir
6173.7
Swami Vivekanand
Bridge
Astodiya Darwaja to
Parimal Garden
5959.4
Parimal Garden to
Astodiya Darwaja
6092.1
Subhash Bridge Sahibaug to RTO 5194
RTO toSahibaug 5229.7
Table-2: Results of Spot- Speed and Density
Bridge
Name
Direction Avg. Spot-
Speed (v)
kmph
Avg.
Density
PCU/km (k)
Sardar Bridge Gita Mandir
to Paladi
14.74 406.55
Paladi to
Gita Mandir
14.70 420.55
Swami
Vivekanand
Bridge
Astodiya
Darwaja to
Parimal
Garden
15.01 395.55
Parimal
Garden to
Astodiya
Darwaja
14.96 396.81
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 118
Subhash
Bridge
Sahibaug to
RTO
17.48 295.34
RTO to
Sahibaug
17.48 300.24
Table-3: Results of Spot- Speed and Density
Bridge
Name
Direction Avg. Spot-
Speed
(kmph)
Avg. Speed
(kmph)
Sardar
Bridge
Gita Mandir
to Paladi
14.73 15.37
Paladi to Gita
Mandir
14.70 15.40
Swami
Vivekanan
d Bridge
Astodiya
Darwaja to
Parimal
Garden
15.01 14.67
Parimal
Garden to
Astodiya
Darwaja
14.95 14.68
Subhash
Bridge
Sahibaug to
RTO
17.48 25.90
RTO to
Sahibaug
17.47 25.25
Table-4: LoS of Urban road based on Stream Speed, V/C
Ratio and FFS
Level of
Service(L.O
.S)
Range of
Average
Stream
Speed
V/C Ratio
(Volume/
Capacity
Ratio)
Percentag
e of Free
flowSpeed
LoS A > 64 < 0.15 > 84
LoS B 64-58 0.15-0.45 84-76
LoS C 58-45 0.45-0.75 76-59
LoS D 45-31 0.75-0.85 59-41
LoS E 31-17 0.85-1.0 41-22
LoS F <17 > 1 < 22
Table-5: L.O.S Calculation
Bridge
Name
Direction Avg.
Speed
(v)
kmph
vg.V/C
Ratio
L.O.S
Sardar
Bridge
Gita Mandir
to Paladi
15.37 1.11
F
Paladi to
Gita Mandir
15.40 1.14
Swami
Vivekana
nd Bridge
Astodiya
Darwaja to
Parimal
Garden
14.67 1.10
F
Parimal
Garden to
Astodiya
Darwaja
14.68 1.11
Subhash
Bridge
Sahibaug to
RTO
25.90 0.96
E
RTO to
Sahibaug
25.25 0.96
7. CONCLUSION
Urban roads are designed for L.O.S type C according to IRC
guidelines. However, in this instance, the observed L.O.S for
the Sardar and Swami Vivekanand Bridges is found to be
category F, while the L.O.S forthe Subhash Bridge is found to
be category E. Therefore, it is necessary to implement some
corrective measures in order to raise the level of service ona
few chosen bridges.
Suggested Measures:
Enhancing the public transit network
Increasingly irregular work hours in both public andprivate
organisations timing of the new school schedule
Traffic law enforcement and lane discipline the potential for
diverting traffic to alternative routes increasing the existing
bridge's capacity building a new bridge next to an already
existing bridge
REFERENCES
[1] D. Koll´ar , B. K¨ovesdi , I. V¨olgyi , I. Bir´o “ Assessment
of deformation in bridge bearing areas using measurements
and welding simulation ”(2022)
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 119
[2] P´eter Bucsky , Mattias Juh´asz “ Long-term evidence on
induced traffic: A case study on the relationship between
road traffic and capacity of Budapest bridges” (2022)
[3] Ludovic Fülöp, Miguel Ferreira, Edgar Bohner, Jani
Valokoski, Jussi Vuotari, Timo Tirkkonen “Inspection of
bridges for effects of air-entrainment on the porosity and
compressive strength of concretes”(2022)
[4] Dong Guo, Colin C. Caprani “ Traffic load patterning on
long span bridges: A rational approach” (2019)
[5] Shi-Zhi Chen, Gang Wu, De-Cheng Feng “Developmentof
a bridge weigh-in-motion method considering the presence
of multiple vehicles”, ( 2019 )
[6] Naida Ademovi “ Structural assessment&strengthening
of the first singe-arch RC bridge in Sarajevo, BIH”, (2021)
[7] Lu Zhang , Xiaoxiang Cheng , Gang Wu “ A bridge weigh-
in-motion method of motorway bridgesconsideringrandom
traffic flow based on long-gauge fibre Bragggratingsensors”
, (2021)
[8] Martina Šomodíková, Marie Horňáková, Pavla
Rovnaníková “ Extended evaluation of durability-related
field inspection data from concrete bridges under service ,
(2020)
[9] Shi-Zhi Chen , Gang Wua De-Cheng Feng “ Damage
detection of highway bridges based on long-gauge strain
response under stochastic traffic flow”, (2019)
[10] Marek Szafran´ ski “ A dynamic vehicle-bridge model
based on the modal identification resultsofanexistingEN57
train and bridge spans with non-ballasted tracks,(2021)
[11] Bismark R.D.K. Agbelie , Samuel Labi , Kumares C.
Sinha, “ Estimating the marginal costs of bridge damage due
to overweight vehicles using a modified equivalent-vehicle
methodology and in-service data on life-cycle costs and
usage”, (2017)
[12] Chuang Cuia, You-Lin Xu, Qing-Hua Zhang, Feng-Yang
Wang “ Vehicle-induced fatigue damage prognosis of
orthotropic steel decks of cable-stayed bridges”, (2020)
[13] Wenqi Hou, Yankun Li, Wei Guo, Junlong Li, Yehong
Chen, Xiaoxu Duan, “ Railway vehicle induced vibration
energy harvesting and saving of rail transit segmental
prefabricated and assembling bridges”, (2018)
[14] Xiaodong Liu , Wanshui Han , Yangguang Yuan , Xiao
Chen , Qing Xie, “ Corrosion fatigue assessment and
reliability analysis of short suspender of suspension bridge
depending on refined traffic and wind load condition”,
(2021)
[15] Ke Ma, Hao Wang, Tiancheng Ruan, “ Analysis of road
capacity and pollutant emissions: Impacts of Connected and
automated vehicle platoons on traffic flow”, (2021)

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Investigation And Analysis of Traffic Flow Capacity And Level of Service Determination of Three Bridges Across Sabarmati River In Ahmedabad Metro City

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 115 Investigation And Analysis of Traffic Flow Capacity And Level of Service Determination of Three Bridges Across Sabarmati River In Ahmedabad Metro City Mr. Patel Dharmesh H.1, Mr. Dwarik Dave2 1Student, Dept. of Civil Engineering, Hasmukh Goswami College of Engineering,Gujarat, India, 2Professor, Dept. of Civil Engineering, Hasmukh Goswami College of Engineering,Gujarat, India. ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - India is one of the world's developing nations. There are numerous intricate issues with the nation's transportation system. These include an ever-growing population, an increase in vehicles, andcloggedroads. Gujarat is one of the states in our nation that is growing the fastest. Ahmedabad is a growing metropolis. The city is Gujarat's largest city. Out of the 11 bridges that span the Sabarmati River in Ahmedabad, some of the bridges that connect the city's residential and commercial areas experience heavy traffic during peak hours, causing backups and bottlenecks in some areas. Following a survey, the three bridges—Swami Vivekanand Bridge, Sardar Bridge, and Subhash Bridge—are chosen for analysis of traffic flow capacity and service level. In order to suggest improvements in the current traffic congestion on selected bridges, it is important to quantify the traffic characteristics in the traffic circumstances that now exist on those bridges. By measuring the parametersfortraffic speed, flow, and density on the chosen bridges during peak hours, I will be able to determine the traffic flow capacity and Level of Service in this study. This could be useful to determine whether or not the current bridges can safely handle the current and future increases in traffic flow. Keywords: Bridge, Traffic, Population. 1. INTRODUCTION In developing nations like India, traffic congestion is one of the main problems that most metropolises face, and numerous strategies have been implemented to reduce it. The initial stage in such attempts is to identifythefeaturesof congestion because this information is crucial for choosing the right course of action. Understanding the fundamentals of traffic flow characteristics, such as traffic volume under such traffic conditions, is important for the planning, designing, and operating of roadway systems. Congestion affects the movement of people and freight and is closely related to the past of having high levels of accessibility and mobility, both in perception and in actuality. Traffic congestion wastes time and resources, results in stress and pollution, lowers productivity, and has a financial impact on society. 2. OBJECTIVE & AIM A. Objective  To calculate the traffic capacity parameters, including volume, composition, speed, and density ofthetrafficaswell as travel time on the chosen bridges.  To determine the selected bridges' level of service. To recommend solutions for reducing traffic congestion on the chosen bridges B. Aim By measuring traffic speed, flow, and density parameters on the selected bridges across the Sabarmati River during peak hours in Ahmedabad city, the study's objective is to determine traffic flow capacity and Level ofService.Thegoal of the study is to identify corrective actions for reducing traffic congestion at particular bridges. 3. PROBLEM STATEMENT Traffic congestion is an issue in India that has becomeworse because of ongoing urbanization, a growth in the number of private automobiles, the heterogeneous character of the traffic, the lack of lanediscipline,unlawful encroachments on urban streets, and a variety of other factors. What is the cause of the rise in car operating costs? Because there is a shortage of available road space, bottleneck conditions frequently occur on the roads in Ahmedabad, the fourth fastest growing city in the world. Traffic is backed up at the Sabarmati River bridges because of a bottleneck situation. Out of the nine bridges that span the Sabarmati River in Ahmedabad, some of the bridges that connect the city's residential and business areas have significant trafficduring peak hours, causing backups and bottlenecks in some areas. Following a survey, the three bridges—Swami Vivekanand, Sardar, and Subhash—were chosen for analysis of traffic flow capacity and service level. Therefore, it is intriguing to calculate the traffic flow capacity by observing the parameters of traffic flow, density, and speed on the chosen bridges during busy periods in Ahmedabad.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 116 4. METHODOLOGY CHART & STUDY AREA Three bridges—Swamivivekanand Bridge, Sardar Bridge, and Subhash Bridge—are chosen for this study assessment. In the northern region of Gujarat and the western region of India, Ahmedabad is situated along the banks of the Sabarmati River. It covers 205 km2 and is situated at 23.03°N 72.58°E. 53 metres is the average elevation. Fig-1: Methodology Chart 5. DATA COLLECTION Fig-2:Graph of PCU/15min (Sahibaug to RTO) Fig-3:Graph of PCU/15min (RTO to Sahibaug) Fig-4:Cumulative Traffic Flow (Sahibaug to RTO) Fig-5:Cumulative Traffic Flow (RTO to Sahibaug)
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 117 Fig-6:Graph of PCU/15min (Astodiya Darwaja to Parimal Garden ) Fig-7:Cumulative Traffic Flow (Astodiya Darwaja to Parimal Garden) Fig-8:Graph of PCU/15min (Gita Mandir to Paladi) Fig-9:Cumulative Traffic Flow (Gita Mandir to Paladi) 6. RESULT Table-1: Results of Traffic Flow count Bridge Name Direction PCU/hr Sardar Bridge Gita Mandir to Paladi 6013.5 Paladi to Gita Mandir 6173.7 Swami Vivekanand Bridge Astodiya Darwaja to Parimal Garden 5959.4 Parimal Garden to Astodiya Darwaja 6092.1 Subhash Bridge Sahibaug to RTO 5194 RTO toSahibaug 5229.7 Table-2: Results of Spot- Speed and Density Bridge Name Direction Avg. Spot- Speed (v) kmph Avg. Density PCU/km (k) Sardar Bridge Gita Mandir to Paladi 14.74 406.55 Paladi to Gita Mandir 14.70 420.55 Swami Vivekanand Bridge Astodiya Darwaja to Parimal Garden 15.01 395.55 Parimal Garden to Astodiya Darwaja 14.96 396.81
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 118 Subhash Bridge Sahibaug to RTO 17.48 295.34 RTO to Sahibaug 17.48 300.24 Table-3: Results of Spot- Speed and Density Bridge Name Direction Avg. Spot- Speed (kmph) Avg. Speed (kmph) Sardar Bridge Gita Mandir to Paladi 14.73 15.37 Paladi to Gita Mandir 14.70 15.40 Swami Vivekanan d Bridge Astodiya Darwaja to Parimal Garden 15.01 14.67 Parimal Garden to Astodiya Darwaja 14.95 14.68 Subhash Bridge Sahibaug to RTO 17.48 25.90 RTO to Sahibaug 17.47 25.25 Table-4: LoS of Urban road based on Stream Speed, V/C Ratio and FFS Level of Service(L.O .S) Range of Average Stream Speed V/C Ratio (Volume/ Capacity Ratio) Percentag e of Free flowSpeed LoS A > 64 < 0.15 > 84 LoS B 64-58 0.15-0.45 84-76 LoS C 58-45 0.45-0.75 76-59 LoS D 45-31 0.75-0.85 59-41 LoS E 31-17 0.85-1.0 41-22 LoS F <17 > 1 < 22 Table-5: L.O.S Calculation Bridge Name Direction Avg. Speed (v) kmph vg.V/C Ratio L.O.S Sardar Bridge Gita Mandir to Paladi 15.37 1.11 F Paladi to Gita Mandir 15.40 1.14 Swami Vivekana nd Bridge Astodiya Darwaja to Parimal Garden 14.67 1.10 F Parimal Garden to Astodiya Darwaja 14.68 1.11 Subhash Bridge Sahibaug to RTO 25.90 0.96 E RTO to Sahibaug 25.25 0.96 7. CONCLUSION Urban roads are designed for L.O.S type C according to IRC guidelines. However, in this instance, the observed L.O.S for the Sardar and Swami Vivekanand Bridges is found to be category F, while the L.O.S forthe Subhash Bridge is found to be category E. Therefore, it is necessary to implement some corrective measures in order to raise the level of service ona few chosen bridges. Suggested Measures: Enhancing the public transit network Increasingly irregular work hours in both public andprivate organisations timing of the new school schedule Traffic law enforcement and lane discipline the potential for diverting traffic to alternative routes increasing the existing bridge's capacity building a new bridge next to an already existing bridge REFERENCES [1] D. Koll´ar , B. K¨ovesdi , I. V¨olgyi , I. Bir´o “ Assessment of deformation in bridge bearing areas using measurements and welding simulation ”(2022)
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 119 [2] P´eter Bucsky , Mattias Juh´asz “ Long-term evidence on induced traffic: A case study on the relationship between road traffic and capacity of Budapest bridges” (2022) [3] Ludovic Fülöp, Miguel Ferreira, Edgar Bohner, Jani Valokoski, Jussi Vuotari, Timo Tirkkonen “Inspection of bridges for effects of air-entrainment on the porosity and compressive strength of concretes”(2022) [4] Dong Guo, Colin C. Caprani “ Traffic load patterning on long span bridges: A rational approach” (2019) [5] Shi-Zhi Chen, Gang Wu, De-Cheng Feng “Developmentof a bridge weigh-in-motion method considering the presence of multiple vehicles”, ( 2019 ) [6] Naida Ademovi “ Structural assessment&strengthening of the first singe-arch RC bridge in Sarajevo, BIH”, (2021) [7] Lu Zhang , Xiaoxiang Cheng , Gang Wu “ A bridge weigh- in-motion method of motorway bridgesconsideringrandom traffic flow based on long-gauge fibre Bragggratingsensors” , (2021) [8] Martina Šomodíková, Marie Horňáková, Pavla Rovnaníková “ Extended evaluation of durability-related field inspection data from concrete bridges under service , (2020) [9] Shi-Zhi Chen , Gang Wua De-Cheng Feng “ Damage detection of highway bridges based on long-gauge strain response under stochastic traffic flow”, (2019) [10] Marek Szafran´ ski “ A dynamic vehicle-bridge model based on the modal identification resultsofanexistingEN57 train and bridge spans with non-ballasted tracks,(2021) [11] Bismark R.D.K. Agbelie , Samuel Labi , Kumares C. Sinha, “ Estimating the marginal costs of bridge damage due to overweight vehicles using a modified equivalent-vehicle methodology and in-service data on life-cycle costs and usage”, (2017) [12] Chuang Cuia, You-Lin Xu, Qing-Hua Zhang, Feng-Yang Wang “ Vehicle-induced fatigue damage prognosis of orthotropic steel decks of cable-stayed bridges”, (2020) [13] Wenqi Hou, Yankun Li, Wei Guo, Junlong Li, Yehong Chen, Xiaoxu Duan, “ Railway vehicle induced vibration energy harvesting and saving of rail transit segmental prefabricated and assembling bridges”, (2018) [14] Xiaodong Liu , Wanshui Han , Yangguang Yuan , Xiao Chen , Qing Xie, “ Corrosion fatigue assessment and reliability analysis of short suspender of suspension bridge depending on refined traffic and wind load condition”, (2021) [15] Ke Ma, Hao Wang, Tiancheng Ruan, “ Analysis of road capacity and pollutant emissions: Impacts of Connected and automated vehicle platoons on traffic flow”, (2021)