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.

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.

Taxi Global Positioning System Data in Urban Road Network: A Methodology to Identify Key Road Clusters Based on Travel Speed–Traffic Volume Correlation

2021 ◽  
pp. 036119812110366
Author(s):  
Yi Li ◽  
Weifeng Li ◽  
Qing Yu ◽  
Han Yang
Keyword(s):  
Traffic Congestion ◽  
Road Network ◽  
Travel Speed ◽  
Detection Algorithm ◽  
Traffic Volume ◽  
Urban Traffic ◽  
Mitigation Strategies ◽  
Operating Characteristics ◽  
The Road ◽  
Road Segments

Urban traffic congestion is one of the urban diseases that needs to be solved urgently. Research has already found that a few road segments can significantly influence the overall operation of the road network. Traditional congestion mitigation strategies mainly focus on the topological structure and the transport performance of each single key road segment. However, the propagation characteristics of congestion indicate that the interaction between road segments and the correlation between travel speed and traffic volume should also be considered. The definition is proposed for “key road cluster” as a group of road segments with strong correlation and spatial compactness. A methodology is proposed to identify key road clusters in the network and understand the operating characteristics of key road clusters. Considering the correlation between travel speed and traffic volume, a unidirectional-weighted correlation network is constructed. The community detection algorithm is applied to partition road segments into key road clusters. Three indexes are used to evaluate and describe the characteristic of these road clusters, including sensitivity, importance, and IS. A case study is carried out using taxi GPS data of Shanghai, China, from May 1 to 17, 2019. A total of 44 key road clusters are identified in the road network. According to their spatial distribution patterns, these key road clusters can be classified into three types—along with network skeletons, around transportation hubs, and near bridges. The methodology unveils the mechanism of congestion formation and propagation, which can offer significant support for traffic management.

scholarly journals Assessment of road traffic performance of the Tsunami evacuation road in Padang Municipality area based on the traffic volume simulation approach

2020 ◽  
Vol 156 ◽  
pp. 04008
Author(s):  
Yossyafra Yossyafra ◽  
Nurhuda Fitri ◽  
Rahmat Punama Sidhi ◽  
Yosritzal Yosritzal ◽  
Deni Irda Mazni
Keyword(s):  
Land Use ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Road Traffic ◽  
Traffic Volume ◽  
Disaster Mitigation ◽  
Degree Of Saturation ◽  
Vehicle Ownership ◽  
The Road ◽  
Tsunami Disaster

There are many cities on the west coast of the Sumatra, which are at high risk of the Tsunami disaster. Regional Regulations on Regional Spatial Planning for each City/ Regency have compiled disaster mitigation by constructing several evacuation roads. This study wants to illustrate: what are the volume of traffic generation and road performance, if there is a Tsunami disaster. The simulation is developed by predicting traffic volume based on parameters, population density, vehicle ownership, land use, and activities in the area around the road. The assessment was carried out on two tsunami evacuation roads in the city of Padang, West Sumatra Province. The results show that the highest traffic volume occurred in the period from 06.30 a.m until 3:00 p.m., during school activities. One of the roads will not be able to accommodate the volume of traffic during a disaster, due to significant traffic congestion. This study shows that: (1) the period of activity and land use are two main parameters, which must be considered in designing tsunami evacuation roads, (2) The degree of saturation ratio and the ratio between the capacity of sections of Tsunami evacuation routes can be proposed as a parameter for assessing the performance of Tsunami evacuation roads in urban areas.

INFLUENCE OF BUS BAY AND CURBSIDE BUS STOP IN AN URBAN ROAD

2020 ◽  
Vol 8 (3) ◽  
pp. 14-19
Author(s):  
Saurav Barua
Keyword(s):  
Traffic Congestion ◽  
Simulation Models ◽  
Good Alternative ◽  
Road Segment ◽  
Dhaka City ◽  
Average Speed ◽  
Urban Road ◽  
Traffic Conditions ◽  
Bus Stop ◽  
Bus Stops

Purpose of Study: The purpose of this study is to investigate the efficiency of bus bay compare to the curbside bus stop in a midblock road segment of Dhaka city. Methodology: Vehicle composition and traffic volume were counted on-peak hours for the midblock of Azimpur road near the existing bus stop. Simulation models were developed in VISSIM, where Model 1 represented the existing road scenario with curbside bus stop, and Model 2 represented the same road segment with a bus bay. Main findings: The simulation result showed that Model 2 outperformed Model 1 due to the presence of bus bay. Comparing Model 1, travel time and delay reduced by varying 1.80% to 12.5% and 6.25% to 100% respectively in Model 2 during the simulation. Similarly, average speed increased by 1.39% and density decreased by 61.29% in model 2. Application of this study: Curbside bus stops result in abrupt halt, disrupt traffic flow, and queuing of the small-sized vehicle behind buses. These bus stops caused traffic congestion and delays in urban roads which can be alleviated by alternatives, such as, bus bay. The novelty of this study: The bus bay is a good alternative to the curbside bus stop, which can improve existing traffic conditions in urban roads.

scholarly journals KAJIAN TUNDAAN LALU LINTAS PADA SIMPANG BERSINYAL (Studi Kasus: Simpang Jl. Brigjen Sudiarto - Jl. Majapahit - Jl. Fatmawati Kota Semarang)

2020 ◽  
Vol 25 (1) ◽  
pp. 32
Author(s):  
Jayanti Rizqi Novianka P ◽  
Khrisna Dwi Hidayati ◽  
Supriyadi Supriyadi ◽  
Junaidi Junaidi
Keyword(s):  
Road Traffic ◽  
Secondary Data ◽  
Service Level ◽  
Traffic Volume ◽  
Degree Of Saturation ◽  
Traffic Data ◽  
Data Traffic ◽  
The Road ◽  
Geometric Conditions ◽  
Vehicle Data

Traffic volume in Semarang City has increased every year due to the increasing number of vehicles. Congestion that occurs at the T-junction intersection Jl. Brigjen Sudiarto - Jl. Majapahit is one of the impacts of high traffic growth and the traffic system is not functioning properly. By considering the geometric conditions of the road, traffic volume, side obstacles and the intersection environment which is a commercial area, it is necessary to analyze the cause of the congestion at the intersection. The research conducted was to conduct a field survey to obtain primary and secondary data which are then processed using intersection management. Planning uses the 1997 Indonesian Road Capacity Manual (MKJI) and uses the Excel 2013 program to process traffic data. Traffic data is obtained from recording the number of vehicles in the field for 3 days (April 29, 01 and May 4, 2019) during peak hours and presented in the form of a vehicle data table, then the behavior of the intersection can be analyzed. From the analysis results obtained value of the degree of saturation (DS) at the intersection of Jl. Brigjen Sudiarto - Jl. Majapahit 0.991. This value has exceeded the required value by the 1997 MKJI, DS ≤ 0.85. The analysis shows that the average traffic delay is 141,320 sec / pcu, so this intersection has a Service Level (LOS) F (> 60).

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.

scholarly journals Exploring the Effects of Urban Built Environment on Road Travel Speed Variability with a Spatial Panel Data Model

2021 ◽  
Vol 10 (12) ◽  
pp. 829
Author(s):  
Guangyue Nian ◽  
Jian Sun ◽  
Jianyun Huang
Keyword(s):  
Built Environment ◽  
Data Model ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Travel Speed ◽  
Road Segment ◽  
Key Factors ◽  
Spatial Panel ◽  
The Road ◽  
Spatial Panel Data

Road traffic congestion is a common problem in most large cities, and exploring the root causes is essential to alleviate traffic congestion. Travel behavior is closely related to the built environment, and affects road travel speed. This paper investigated the direct effect of built environment on the average travel speed of road traffic. Taxi trajectories were divided into 30 min time slot (48 time slots throughout the day) and matched to the road network to obtain the average travel speed of road segments. The Points of Interest (POIs) in the buffer zone on both sides of the road segment were used to calculate the built environment indicators corresponding to the road segment, and then a spatial panel data model was proposed to assess the influence of the built environment adjacent to the road segment on the average travel speed of the road segment. The results demonstrated that the bus stop density, healthcare service density, sports and leisure service density, and parking entrance and exit density are the key factors that positively affect the average road travel speed. The residential community density and business building density are the key factors that negatively affect the average travel speed. Built environments have spatial correlation and spatial heterogeneity in their influence on the average travel speed of road segments. Findings of this study may provide useful insights for understanding the correlation between road travel speed and built environment, which would have important implications for urban planning and governance, traffic demand forecasting and traffic system optimization.

scholarly journals Measuring Traffic Congestion Based on the Taxi Operations of Traditional and On-Demand Taxis in Yangon

2020 ◽  
Vol 15 (3) ◽  
pp. 451-460
Author(s):  
Moe Myint Mo ◽  
Kyaing ◽  
Ko Ko Lwin ◽  
Yoshihide Sekimoto ◽  
◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Negative Impact ◽  
Temporal Variations ◽  
Transport Infrastructure ◽  
Positioning Systems ◽  
The Road ◽  
On Demand ◽  
Taxi Service ◽  
Pattern Information ◽  
The Impact

The current urbanization and motorization have caused a gradual negative impact on the existing transport infrastructure in Yangon City. Currently, the road network throughout Yangon operates at or above its desired capacity during the peak periods. At present, there are over 62,886 registered taxis operating in Yangon City. These taxis provide two different services to passengers: non-metered taxi (traditionally hailed on the street) service and metered taxi (on demand) service. Private cars and taxis constitute 70% of the modes of transport in Yangon City; this may lead to traffic congestion. However, there is lack of relevant data and taxi trip pattern information on how taxi service is related to traffic congestion. Therefore, studies on taxi surveying using Global Positioning Systems (GPS) need to be conducted, and investigations on the effect of taxi services on traffic congestion from these GPS data need to be performed. This study explores the comparison between hourly and daily trips’ frequencies as well as spatial and temporal variations of taxi trips between the two services. Field survey data collected through the GPS and Geographic Information System (GIS) were used to estimate the different taxi travel times that can be applied in predicting the occupied and vacant times in the study area. The specific objective of this research is to examine vacant taxi movement and stationary time (parking time and congestion time) of the two services to quantify the impact of taxi travel time on traffic congestion in Yangon. Moreover, by knowing how the two services vary in terms of operation, the main solution for reducing the congestion in Yangon City can be established. Further, the taxi stationary duration information is useful for knowing the taxi trip hotspot points in each township in Yangon. This may lead to support in defining proposed taxi stands in Yangon City.

scholarly journals Improving the Level of Service of a Portion of 60-M Ring-Road in Erbil City

2019 ◽  
Vol 3 (1) ◽  
pp. 12-17 ◽  
Author(s):  
Dlzar B. Qadr ◽  
Shorsh A. Mohammed ◽  
Ibrahim A. Hasan ◽  
Rawand F. Mohammed Ali
Keyword(s):  
Traffic Flow ◽  
Urban Area ◽  
Video Camera ◽  
Traffic Volume ◽  
Level Of Service ◽  
Kurdistan Region ◽  
Average Speed ◽  
Ring Road ◽  
The Road ◽  
New City

This study aims to implement the factors that can improve the level of service of 60-M Ring-Road in Erbil, Kurdistan Region of Iraq. These factors are minimizing the traffic volume, providing a higher quality pavement, widening the road carriageway, and constructing bridges. The main objective of this paper is to increase the LOS of a specific road known as 60-m ring road from New City Mall to PAR hospital in Erbil city. For this purpose, the data on speed and traffic flow are collected using video camera to collect data to be reasonably analyzed with respect to the speed of the vehicles and set the LOS for the proposed road. The result shows that average speed in this study is 19 km/h, and this confirms that the LOS in this particular road segment is at F category. In addition, the calculated peak hour factor is 0.97 which is more than a typical value in urban area. Finally, the study revealed that the traffic volume on this specified road is too high.

scholarly journals ANALISIS KUALITAS UDARA AMBIEN AKIBAT LALU LINTAS KENDARAAN BERMOTOR DI KAWASAN COYUDAN, SURAKARTA

2018 ◽  
Vol 3 (2) ◽  
pp. 46-53
Author(s):  
Dyah Ratri Nurmaningsih
Keyword(s):  
Air Pollution ◽  
Urban Areas ◽  
Negative Impact ◽  
Access Point ◽  
High Volume ◽  
Exhaust Emissions ◽  
Road Segment ◽  
Survey Method ◽  
The Road ◽  
Congested Traffic

Surakarta is a city that has very rapid growth in many sectors such as in industry, services, settlements, education, trade and transportation. The main trading activity center or CBD (Central Bussiness Distric) in Surakarta City, is located in the Coyudan Surakarta shopping area, which makes this area becomes a strategic and congested traffic access point. This condition cause a high volume of traffic in the area. Motorized vehicle’s traffic activity on its road segment has a negative impact to surrounding area along the road segment as an air pollution. The more rapid transportation activities, especially motorized vehicles, are the main sources of air pollution in urban areas. The research method for this study is a survey method (for selecting research points) and approach analysis methods (using an empirical formula). The results of this study indicate that the parameters of exhaust emissions which include CO, HC, NO, and PM still meet the permitted air quality standards. However, it is expected that all people keep paying attention to both environmental conditions and the use of transportation facilities, as well as good traffic conditions, so that the problem of exhaust emissions due to traffic will not occur. Keywords: traffic, CBD and exhaust emissions.

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