scholarly journals VISSIM-Based Simulation and Analysis of Upstream Segments in Ramp Areas for Optimizing Vehicle Group Lane-Changing Behaviors

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Haijian Li ◽  
Zhufei Huang ◽  
Xiaofang Zou ◽  
Shuo Zheng ◽  
Yanfang Yang
Keyword(s):  
Traffic Congestion ◽  
Road Safety ◽  
Vehicle Group ◽  
Connected Vehicle ◽  
Lane Changing ◽  
The Road ◽  
Road Capacity ◽  
Traffic Capacity ◽  
Vehicle Technologies ◽  
And Control

The traffic congestion in ramp areas is becoming increasingly prominent. In the upstream segments of ramp areas, effective management and control of lane-changing behaviors can improve the road capacity and make full use of the existing road resource. With the continuous development and application of connected vehicle technologies, lane-changing behaviors can be performed by vehicle groups. Under a connected vehicle environment, the lane-changing behaviors by vehicle groups are controlled in the upstream segment in a ramp area, and the lane-changing behaviors can be completed prior to entering the ramp area. Finally, lane-changing strategies are optimized and identified. VISSIM simulates these proposed strategies. This paper considers the delay as the output index for analyzing and comparing various strategies. The results demonstrate that the delays of different lane-changing strategies are also different. If the delays of ramp areas are to be substantially reduced, it is necessary to continuously optimize the lane-changing strategies by vehicle groups in the upstream segments. This optimization of lane-changing strategies will effectively regulate drivers’ lane-changing behaviors, improve road safety, and increase traffic capacity.

scholarly journals Modeling and simulation of vehicle group lane-changing behaviors in upstream segment of ramp areas under a connected vehicle environment

2019 ◽  
Vol 1 (1) ◽  
pp. 17-29 ◽  
Author(s):  
Haijian Li ◽  
Zhufei Huang ◽  
Lingqiao Qin ◽  
Shuo Zheng ◽  
Yanfang Yang
Keyword(s):  
Traffic Congestion ◽  
Road Safety ◽  
Design Methodology ◽  
Vehicle Group ◽  
Connected Vehicle ◽  
Lane Changing ◽  
Content Type ◽  
Traffic Capacity ◽  
Simulation Results ◽  
Vehicle Technologies

Purpose The purpose of this study is to effectively optimize vehicle lane-changing behavior and alleviate traffic congestion in ramp area through the study of vehicle lane-changing behaviors in upstream segment of ramp areas. Design/methodology/approach In the upstream segment of ramp areas under a connected vehicle environment, different strategies of vehicle group lane-changing behaviors are modeled to obtain the best group lane-changing strategy. The traffic capacity of roads can be improved by controlling group lane-changing behavior and continuously optimizing lane-changing strategy through connected vehicle technologies. This paper constructs vehicle group lane-changing strategies in upstream segment of ramp areas under a connected vehicle environment. The proposed strategies are simulated by VISSIM. Findings The results show that different lane-changing strategies are modeled through vehicle group in the upstream segment of ramp areas, which can greatly reduce the delay of ramp areas. Originality/value The simulation results verify the validity and rationality of the corresponding vehicle group lane-changing behavior model strategies, effectively standardize the driver's lane-changing behavior, and improve road safety and capacity.

scholarly journals Air Pollution Exposure in Relation to the Commute to School: A Bradford UK Case Study

2016 ◽  
Author(s):  
Kim N. Dirks ◽  
Judith Y. T. Wang ◽  
Amirul Khan ◽  
Christopher Rushton
Keyword(s):  
Air Pollution ◽  
Traffic Congestion ◽  
Road Safety ◽  
Ultrafine Particle ◽  
Practical Experience ◽  
Safe Alternative ◽  
The Road ◽  
Air Pollution Exposure ◽  
Pollution Exposure ◽  
Walking To School

Walking School Buses (WSBs) provide a safe alternative to being driven to school. Children benefit from the contribution the exercise provides towards their daily exercise target, it gives children practical experience with respect to road safety and helps to relieve traffic congestion around the entrance to their school. Walking routes are designed largely based in road safety considerations, catchment need and the availability of parent support. However, little attention is given to the air pollution exposure experienced by children during their journey to school, despite the commuting microenvironment being an important contributor to a child’s daily air pollution exposure. This study aims to quantify the air pollution exposure experienced by children walking to school and those being driven by car. A school was chosen in Bradford, UK. Three adult participants carried out the journey to and from school each carrying a P-Trak ultrafine particle (UFP) count monitor. One participant travelled the journey to school by car while the other two walked, each on opposite sides of the road for the majority of the journey. Data collection was carried out over a period of two weeks, for a total of five journeys to school in the morning and five on the way home at the end of the school day. Results of the study suggest that car commuters experience lower levels of air pollution dose due to lower exposures and reduced commute times. The largest reductions in exposure for pedestrians can be achieved by avoiding close proximity to traffic queuing up to intersections, and, where possible, walking on the side of the road opposite the traffic, especially during the morning commuting period. Major intersections should also be avoided as they were associated with peak exposures. Steps to ensure that the phasing of lights is optimized to minimize pedestrian waiting time would also help reduce exposures. If possible, busy roads should be avoided altogether. By the careful design of WSB routes, taking into account air pollution, children will be able to experience the benefits that walking to school brings while minimizing their air pollution exposure during their commute to and from school.

scholarly journals THE TRAFFIC VOLUME AND LEVEL OF SERVICE (LOS) OF UNIVERSITI PUTRA MALAYSIA (UPM) SERDANG CAMPUS MAIN ACCESS

2019 ◽  
Vol 17 ◽  
Author(s):  
Zakiah Ponrahono ◽  
Noorain Mohd Isa ◽  
Ahmad Zaharin Aris ◽  
Rosta Harun
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Noise Pollution ◽  
Traffic Volume ◽  
Level Of Service ◽  
Idle Mode ◽  
The Road ◽  
Road Capacity ◽  
Motorized Vehicles ◽  
University Setting

The inbound and outbound traffic flow characteristic of a campus is an important physical component of overall university setting. The traffic circulation generated may create indirect effects on the environment such as, disturbance to lecturetime when traffic congestion occurs during peak-hours, loss of natural environment and greenery, degradation of the visual environment by improper or illegal parking, air pollution from motorized vehicles either moving or in idle mode due to traffic congestion, noise pollution, energy consumption, land use arrangement and health effects on the community of Universiti Putra Malaysia (UPM) Serdang. A traffic volume and Level of Service (LOS) study is required to facilitate better accessibility and improves the road capacity within the campus area. The purpose of this paper is to highlight the traffic volume and Level of Service of the main access the UPM Serdang campus. A traffic survey was conducted over three (3) weekdays during an active semester to understand the traffic flow pattern. The findings on traffic flow during peak hours are highlighted. The conclusions of on-campus traffic flow patterns are also drawn.

scholarly journals Urban Arterial Road Optimization and Design Combined with HOV Carpooling under Connected Vehicle Environment

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Lina Mao ◽  
Wenquan Li ◽  
Pengsen Hu ◽  
Guiliang Zhou ◽  
Huiting Zhang ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Negative Impact ◽  
Traffic Volume ◽  
Road Segment ◽  
Connected Vehicle ◽  
Traffic Data ◽  
Average Speed ◽  
The Road ◽  
Arterial Road ◽  
Urban Arterial

The HOV carpooling lane offers a feasible approach to alleviate traffic congestion. The connected vehicle environment is able to provide accurate traffic data, which could optimize the design of HOV carpooling schemes. In this paper, significant tidal traffic flow phenomenon with severe traffic congestion was identified on North Beijing road (bidirectional four-lane) and South Huaihai road (bidirectional six-lane) in Huai’an, Jiangsu Province. The historical traffic data of the road segments were collected through the connected vehicle environment facilities. The purpose of this study is to investigate the effect of adopting two HOV schemes (regular HOV scheme and reversible HOV carpooling scheme) on the urban arterial road under connected vehicle environment. VISSIM was used to simulate the proposed two HOV carpooling schemes at the mentioned road segment. The simulation results showed that the reversible HOV carpooling scheme could not only mitigate the traffic congestion caused by traffic tidal phenomenon but also improve the average speed and traffic volume of the urban arterial road segment, while the regular HOV scheme may exert a negative impact on the average speed and traffic volume on the urban arterial road segment.

City Occupancy and Road Capacity Model

2014 ◽  
Vol 1044-1045 ◽  
pp. 1538-1540 ◽  
Author(s):  
Yi Lin Fan ◽  
Bei Chen Cheng ◽  
Li Li Cao ◽  
Kun Cheng Huang
Keyword(s):  
Cross Section ◽  
Road Traffic ◽  
The Road ◽  
Road Capacity ◽  
Traffic Capacity ◽  
Capacity Model ◽  
The Cross ◽  
Definition Of ◽  
The Impact ◽  
Accident Case

In this paper, we study the impact of city driveway occupancy on the urban road traffic capacity. Through the analysis of the scene of an accident case, we gained the vehicle statistics within a cross section in unit time and then did calculation and simulation. The work is concluded as a reasonable model of vehicle queue relationship evaluation.First, on the base of the definition of traffic capacity, statistics of the cars in the cross section before the accident, during the accident and after the accident have been respectively acquired in unit time (1 min). Then we employ Matlab to do the interpolation fitting, drawing the change of actual capacity of the road from the beginning time of an accident to the time when traffic resumes. The work comes to a conclusion that the change of the capacity at the cross section has a pattern of periodic fluctuation.

scholarly journals DAMPAK GUNA LAHAN TERHADAP TINGKAT KEMAMPUAN KINERJA JALAN STUDI KASUS : JALAN AHMAD YANI DI KECAMATAN KARTASURA

2019 ◽  
Vol 14 (1) ◽  
pp. 40
Author(s):  
Taufik Setyawan ◽  
Mila Karmilah
Keyword(s):  
Land Use ◽  
Quantitative Analysis ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Rapid Development ◽  
Economic Activities ◽  
Economic Relations ◽  
The Road ◽  
Road Capacity ◽  
Development Area

The use of land as a trade and service area contributes greatly to the development of urban economic structures, including in the District of Kartasura. Especially Kartasura's market activity which is always developing because it is a place to fulfill primary needs. However, the existence of this market and also the trade and service activities around it are increasingly troubling due to irregularities and disrupting transportation activities around the market. Geographically, Kartasura Subdistrict is quite close to the Surakarta City area (around 10 Km), and Surakarta City has a very rapid and dense development intensity and has a limited development area, so the development of socio-economic activities tends to move towards the Kartasura Sub-District area.Close socio-economic relations with Surakarta City made Kartasura experience rapid development in the growth of new activities along the A. Yani road. Such as education, health, trade and services, industry and office activities. With the growth of new activities along the A Yani road, traffic jams often occur at peak hours. The congestion is due to the mixture between modes of transportation, trade, industry and offices.The purpose of this study is to identify the performance of the A Yani road, to determine the effect of land use on congestion that occurs. To achieve these objectives, the analysis used is quantitative calculations. By comparing the road conditions at peak and non peak hours on the A Yani road. The method used in this study is analyzing the volume of the road (V) A Yani experiencing congestion, analyzing side barriers, speed, road capacity (C) A Yani, and the level of road service (V / C) A Yani. In addition to the quantitative analysis also conduct qualitative analysis to clarify the quantitative analysis that has been done. So that what is a problem on Jalan A Yani can also be analyzed, what are the factors that cause congestion and finally show conclusions and recommendations of problems.Keywords: Land use, Traffic Congestion

Road Traffic Parameters Estimation by Dynamic Scene Analysis

2012 ◽  
pp. 223-238 ◽  
Author(s):  
H. S. Mohana ◽  
M. Ashwathakumar
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Road Transport ◽  
Traffic Analysis ◽  
Parameters Estimation ◽  
Monitoring And Control ◽  
The Road ◽  
Dynamic Scene Analysis ◽  
And Control

Traffic congestion and violation of traffic rules are very common in most of the road transport system. Continuous monitoring is becoming difficult. To improve the quality of road transport monitoring and control, the best possible alternative is machine vision. In this review, several works by researchers on traffic analysis are detailed, studied and reviewed critically for the purpose. Further, an attempt is made to classify the different road traffic analysis approaches available in the literature. Classification is based on principle used, algorithm adopted, techniques used, technology behind and other special considerations of the researchers.

scholarly journals Analysis of congestion cost at signalized intersection using Vissim 9 (Case study at Demak Ijo Intersection, Sleman)

2018 ◽  
Vol 181 ◽  
pp. 06001
Author(s):  
Noor Mahmudah ◽  
Rizkie Akbar ◽  
Muchlisin
Keyword(s):  
Traffic Congestion ◽  
Traffic Volume ◽  
Signalized Intersection ◽  
Average Delay ◽  
Traffic Condition ◽  
The Road ◽  
Congestion Cost ◽  
Road Capacity ◽  
High Traffic Volume

Due to imbalance of road capacity and traffic volume, so traffic congestion will be occurred either along the road and intersection. Demak Ijo intersection is one of signalized junction located in the western part of Yogyakarta with high traffic volume so traffic congestion is frequently occurred. The aim of this study is to analyze the performance of existing traffic condition and then estimate the congestion cost at signalized intersection by modeling (simulation) using Vissim 9. The analysis results show that existing traffic condition is in very bad condition (level F), average delay of 80 seconds, average queue length of 48.73 meters with congestion cost is about Rp. 2,830,336 per hour.

Study on the Control of Traffic Congestion Based on Hierarchical Road Capacity

2015 ◽  
Vol 744-746 ◽  
pp. 1862-1865
Author(s):  
Dan Wang ◽  
Bei Lei Li
Keyword(s):  
Spatial Structure ◽  
Congestion Control ◽  
Traffic Congestion ◽  
Traffic Network ◽  
Network Congestion ◽  
The Core ◽  
Road Capacity ◽  
Traffic Congestion Control ◽  
And Control ◽  
Core Problem

City traffic congestion control as the core problem in ITS, has been paid more and more attention. This article from the actual characteristics of spatial structure of city to divide different traffic levels is based on the flow of people and vehicles that two variables, which foundation underlies a new model of road capacity that describe and analysis the problem of road capacity from the needs of congestion control. Only in this way can we deepen the understanding over the dynamic traffic flow of city, so as to strengthen the purpose of city traffic network congestion and control.

scholarly journals EVALUASI FAKTOR HAMBATAN SAMPING PADA PENENTUAN KAPASITAS JALAN STUDI KASUS: JALAN JENDRAL SUDIRMAN JAKARTA

2021 ◽  
Vol 4 (4) ◽  
pp. 855
Author(s):  
Yulia Rosaria Kunarti ◽  
Najid Najid
Keyword(s):  
Economic Growth ◽  
Traffic Congestion ◽  
Secondary Data ◽  
Questionnaire Data ◽  
Road Infrastructure ◽  
Road Capacity ◽  
Traffic Capacity ◽  
Valid Data ◽  
Technological Developments ◽  
Transportation Facilities

Technological developments and economic growth in the DKI Jakarta area have resulted in increased development in various fields, that the need for transportation facilities is increasing in the center of Jakarta, especially on Jalan Jendral Sudirman, traffic congestion is caused by an imbalance between increased use of vehicles and the growth of available road infrastructure, and the capacity of the existing road is smaller than the capacity of the planned road, all of which result in side obstacles. The purpose of this study was to analyze and evaluate side barriers in determining traffic capacity in various conditions and certain times, based on the 1997 MKJI guidelines. Calculating road capacity using secondary data from research that has been validated by previous researchers. in 2020 by Sarah Haryati, that data is obtained on Jalan Jendral Sudirman, Jakarta. In addition, we also use questionnaire data in the form of a google form to get the perception of these side barriers. The results obtained that the Jalan Jendral Sudirman Jakarta section is in the Very Low class in the morning, afternoon, and evening. For the next research, it is expected to specifically make a questionnaire to focus more on getting more valid data. ABSTRAKPerkembangan teknologi serta pertumbuhan ekonomi di wilayah DKI Jakarta mengakibatkan peningkatan pembangunan di berbagai bidang, sehingga kebutuhan sarana transportasi semakin meningkat pada pusat kota Jakarta terutama pada jalan Jendral Sudirman, kemacetan lalu lintas disebabkan oleh ketidak seimbangan antara peningkatan penggunaan kendaraan dan pertumbuhan prasarana jalan yang tersedia, serta kapasitas ruas jalan yang ada lebih kecil dari kapasitas jalan yang direncanakan, semua itu mengakibatkan adanya hambatan samping. Tujuan penelitian ini dilakukan untuk menganalisis dan juga mengevaluasi faktor hambatan samping pada penetuan kapasitas lalu lintas di berbagai macam kondisi dan waktu tertentu, dengan berdasarkan dari pedoman MKJI tahun 1997. Dengan menghitung kapasitas jalan menggunakan data sekunder dari penelitian yang sudah di validasi yang dilakukan oleh peneliti sebelumnya pada tahun 2020 oleh Sarah Haryati, didapatkan data-data pada jalan Jendral Sudirman, Jakarta. Selain itu kita juga menggunakan data kuesioner dalam bentuk google form untuk mendapatkan persepsi hambatan samping tersebut. Hasil yang didapatkan bahwa ruas Jalan Jendral Sudirman Jakarta terdapat dalam kelas Sangat Rendah pada waktu pagi hari, siang hari, dan sore hari. Untuk penelitian berikutnya, diharapkan secara khusus membuat kuesioner agar lebih fokus mendapatkan data yang lebih valid.

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