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 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 A Privacy-Preserving Traffic Monitoring Scheme via Vehicular Crowdsourcing

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1274 ◽  
Author(s):  
Chuan Zhang ◽  
Liehuang Zhu ◽  
Chang Xu ◽  
Xiaojiang Du ◽  
Mohsen Guizani
Keyword(s):  
Traffic Congestion ◽  
Road Safety ◽  
Security Analysis ◽  
Traffic Monitoring ◽  
Privacy Preserving ◽  
Average Speed ◽  
Traffic Conditions ◽  
Roadside Unit ◽  
Paillier Cryptosystem ◽  
Effectiveness And Efficiency

The explosive number of vehicles has given rise to a series of traffic problems, such as traffic congestion, road safety, and fuel waste. Collecting vehicles’ speed information is an effective way to monitor the traffic conditions and avoid vehicles’ congestion, however it may threaten vehicles’ location and trajectory privacy. Motivated by the fact that traffic monitoring does not need to know each individual vehicle’s speed and the average speed would be sufficient, we propose a privacy-preserving traffic monitoring (PPTM) scheme to aggregate vehicles’ speeds at different locations. In PPTM, the roadside unit (RSU) collects vehicles’ speed information at multiple road segments, and further cooperates with a service provider to calculate the average speed information for every road segment. To preserve vehicles’ privacy, both homomorphic Paillier cryptosystem and super-increasing sequence are adopted. A comprehensive security analysis indicates that the proposed PPTM can preserve vehicles’ identities, speeds, locations, and trajectories privacy from being disclosed. In addition, extensive simulations are conducted to validate the effectiveness and efficiency of the proposed PPTM scheme.

scholarly journals Traffic volume Analysis of Newly Developing semi-urban Road

2020 ◽  
Vol 184 ◽  
pp. 01116
Author(s):  
S. Venkatcharyulu ◽  
V. Mallikarjunareddy
Keyword(s):  
Traffic Congestion ◽  
Noise Pollution ◽  
Traffic Volume ◽  
Level Of Service ◽  
Urban Road ◽  
The Road ◽  
Traffic Conditions ◽  
Traffic Delays ◽  
On The Road ◽  
Vehicle Movement

The purpose of the study and analyze traffic vehicular at peak hours, traffic congestion, determine level of service and provide suitable solution to reduce congestion and improve level of service. Hyderabad is a rapidly urbanizing metropolitan city with a population of 68.1lakhs. The increasing population has led to a tremendous increase in vehicular ownership resulting in high motorization rates. Vehicular population in Hyderabad is about 50lakhs. This increase in vehicular population, congestion and hazardous traffic conditions have resulted in traffic congestions, traffic delays, accidents, environ, noise pollution, air pollution and many more. Traffic volume studies are conducted for the counting number vehicles in th study area . . Data obtained from Nizampet road from the Miyapur useful for the identification of Heavy vehicular flow which studied and number of vehicle movement has studied . The data collected from surveys will be used for determination(PHO) and analysing the traffic volume, passenger car unit (PCU), congestion, Peak hour factor and Directional distribution, volume capacity ratio. A report is to be made on the road of 7km, semi urban road Miyapur X road to Nizampet ,(Hyderabad,INDIA) is studied for vehicles count, road conditions, traffic conditions, peak hour volume, pedestrian count where congestion usually happens, manually using tally sheets and recommend some measures for increasing Level of service of the road. The semi urban road has newly grown village which is immediate vicinity to the developed area. Hence the study of This traffic vehicular moment will help the local authorities to take decisions and finally control over movement of the vehicles.

Intelligence in traffic simulation model: Modeling congested network

2021 ◽  
pp. 1-7
Author(s):  
Joonho Ko ◽  
Hyun Woong Cho ◽  
Jung In Kim ◽  
Hyunmyung Kim ◽  
Young-Joo Lee ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Transportation Systems ◽  
Priority Rules ◽  
Traffic Demand ◽  
Congested Traffic ◽  
Traffic Conditions ◽  
Trip Chain ◽  
The Difference

Traffic simulation tools are becoming more popular as complexity and intelligence are growing in transportation systems. The need for more accurate and intelligent traffic modeling is increasing rapidly as transportation systems are having more congestion problems. Although traffic simulation models have been continuously updated to represent various traffic conditions more realistically, most simulation models still have limitations in overcapacity congested traffic conditions. In traditional traffic simulation models, when there is no available space due to traffic congestion, additional traffic demand may never be allowed to enter the network. The objective of this paper is to investigate one possible method to address the issue of unserved vehicles in overcapacity congested traffic conditions using the VISSIM trip chain. The VISSIM trip chain is used for this analysis as it has the advantage of holding a vehicle without eliminating it when traffic congestion prevents its entrance onto a network. This will allow the vehicle to enter when an acceptable gap becomes available on the entry link. To demonstrate the difference between the simulation using standard traffic input and the trip chain method, a sample congested traffic network is built and congested traffic scenarios are created. Also, simulations with different minimum space headway parameters in the priority rules are analyzed to model congested traffic conditions more realistically. This will provide the insight about the sensitivity of the model to this parameter. Based on the analysis conducted it is concluded that, with appropriate calibrations, the trip chain feature in VISSIM has the potentials to be useful in modeling overcapacity congested traffic conditions more realistically.

scholarly journals Urban road segment level of service based on bicycle users’ perception under mixed traffic conditions

2017 ◽  
Vol 25 (2) ◽  
pp. 90-105 ◽  
Author(s):  
Sambit Kumar Beura ◽  
Haritha Chellapilla ◽  
Prasanta Kumar Bhuyan
Keyword(s):  
Road Segment ◽  
Level Of Service ◽  
Mixed Traffic ◽  
Urban Road ◽  
Traffic Conditions

scholarly journals Incorporating Practical Degree of Saturation in Capacity Estimation of On-Street, Mid-Block, Off-Line Bus Stops

2021 ◽  
pp. 036119812110241
Author(s):  
Faheema Hisham ◽  
Jonathan M. Bunker ◽  
Ashish Bhaskar
Keyword(s):  
Failure Rate ◽  
Waiting Times ◽  
High Volume ◽  
Operating Conditions ◽  
Degree Of Saturation ◽  
Traffic Conditions ◽  
Bus Stop ◽  
Transit Capacity ◽  
Bus Stops

The effectiveness of an on-street bus facility depends on the general traffic that shares the lane used by buses. The Transit Capacity and Quality of Service Manual (TCQSM) methodology was used to estimate facility bus capacity based on critical stop operation. Hisham et al. provided an improved understanding of performance of an on-street, mid-block, off-line bus stop by relating bus stop capacity to the adjacent lane traffic flow rate. Using the TCQSM methodology, bus stop capacity was determined by adopting an estimated operation margin that relates to a design bus stop failure rate. However, failure rate is theoretically ambiguous and difficult to quantify in practice, particularly under high volume traffic conditions. In contrast, degree of saturation is a direct measure of operating conditions experienced by buses using the stop, and by the adjacent lane general traffic, so it directly affects approach delay and queuing. The aim of this study was to better understand performance at on-street, mid-block, off-line bus stops by considering degrees of saturation of loading areas and the adjacent lane rather than design failure rate according to the TCQSM methodology, and to ensure that waiting times upstream of bus stops are kept to acceptable levels by determining bus stop maximum working capacity.

scholarly journals FCG-ASpredictor: An Approach for the Prediction of Average Speed of Road Segments with Floating Car GPS Data

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4967 ◽  
Author(s):  
Difeng Zhu ◽  
Guojiang Shen ◽  
Duanyang Liu ◽  
Jingjing Chen ◽  
Yijiang Zhang
Keyword(s):  
Predictive Model ◽  
Traffic Congestion ◽  
Predictive Accuracy ◽  
Least Squares Method ◽  
Recursive Least Squares ◽  
Road Segment ◽  
Average Speed ◽  
Floating Car Data ◽  
The Impact ◽  
Road Segments

The average speed (AS) of a road segment is an important factor for predicting traffic congestion, because the accuracy of AS can directly affect the implementation of traffic management. The traffic environment, spatiotemporal information, and the dynamic interaction between these two factors impact the predictive accuracy of AS in the existing literature, and floating car data comprehensively reflect the operation of urban road vehicles. In this paper, we proposed a novel road segment AS predictive model, which is based on floating car data. First, the impact of historical AS, weather, and date attributes on AS prediction has been analyzed. Then, through spatiotemporal correlations calculation based on the data from Global Positioning System (GPS), the predictive method utilizes the recursive least squares method to fuse the historical AS with other factors (such as weather, date attributes, etc.) and adopts an extended Kalman filter algorithm to accurately predict the AS of the target segment. Finally, we applied our approach on the traffic congestion prediction on four road segments in Chengdu, China. The results showed that the proposed predictive model is highly feasible and accurate.

scholarly journals Evaluating Operational Performance of Intersections Using SIDRA

2014 ◽  
Vol 8 (1) ◽  
pp. 50-61 ◽  
Author(s):  
Prakash Ranjitkar ◽  
Amin Shahin ◽  
Fasihullah Shirwali
Keyword(s):  
Traffic Congestion ◽  
Social Economic ◽  
Operational Efficiency ◽  
Operational Performance ◽  
Average Delay ◽  
Traffic Demand ◽  
Urban Road ◽  
Traffic Conditions ◽  
It Efficiency ◽  
Intersection Control

Traffic congestion has significant social, economic and environmental costs associated with it. Efficiency of intersections contributes significantly towards the efficiency of whole urban road networks as they are the main bottlenecks in the system. This paper presents a comparative analysis of the operational efficiency of priority controlled, roundabout and signalised intersections under a range of traffic conditions with different volume and turning ratios using SIDRA software. We used three measures to represent the operational efficiency namely: intersection capacity, average delay and total emissions. The analysis revealed strengths and weaknesses of each intersection types under a range of demand and traffic conditions. At low traffic demand, priority controlled intersections outperformed the other two forms of intersection control. At moderate traffic demand, roundabout performed the best while at high traffic demand, signalised intersections performed the best.

scholarly journals Analisa Faktor Penyebab Kemacetan Lalu Lintas di Jalan Kolektor Studi Kasus Jalan Gajah Mada Gunung Pangilun Kota Padang

2020 ◽  
pp. 37-46
Author(s):  
Maiyozzi Chairi ◽  
Jihan Melasari ◽  
Rian Afandi
Keyword(s):  
Traffic Congestion ◽  
Field Survey ◽  
Service Level ◽  
Traffic Volume ◽  
Urban Road ◽  
The Road ◽  
Traffic Conditions ◽  
Road Capacity ◽  
The Will ◽  
Quantitative Descriptive

Congestion is a situation or state of stalling or even stopping traffic caused by a large number of vehicles exceeding road capacity. Traffic congestion is a big problem that is often faced in Indonesia, especially in big cities. This study aims to analyze the factors that cause congestion in Jalan Gajah Mada Gunung Pangilun, Padang City. This research is quantitative descriptive by calculating traffic volume and the causes of traffic jams. And following the Urban Road Capacity Guidelines (PKJP, 2014). Based on the results of the field survey in Road Capacity (C) 3340 pcu / hour, Total Traffic Volume (Q) 1446 pcu / hour and Saturation Degree (DJ) 0.43 pcu / hour, so that the Road Service Level (LOS) type can be obtained B in the sense that traffic flow is stable, the speed starts to be influenced by traffic conditions, but can still be chosen according to the will of the driver. The highest level of congestion occurs on Wednesday, December 11, 2019 (from the day surveyed).

Analysis of Managed Bus Lane Strategies Based on Microcosmic Traffic Simulation

2014 ◽  
Vol 1079-1080 ◽  
pp. 440-447 ◽  
Author(s):  
Ling Ding ◽  
Ning Zhang ◽  
Zhen Dong Qian
Keyword(s):  
Traffic Congestion ◽  
Traffic Simulation ◽  
Great Influence ◽  
Road Segment ◽  
Traffic Condition ◽  
Evaluation Indexes ◽  
Traffic Conditions ◽  
Medium Level ◽  
Bus Lane ◽  
Bus Service

In order todetermine the optimum Managed Bus Lane (MBL) strategies under different traffic conditions, it is essential tocompare the before-after traffic performanceswhen a MBL strategyis produced. Microscopictraffic simulation is often used to evaluate the effects of operation strategies on traffic performances. In addition to the commonly used bus lane strategies, the dedicated bus lane (DBL),intermittent bus lane (IBL) strategies were also studied byVISSIM in this study. Delay and time occupancy wereadopted as evaluation indexes in the evaluation. The analysis results showed that traffic condition has a great influence on the traffic performances for different managed bus lane strategies.Specifically, volumeplays a higher influence on the bus lane performance as compared tobus ratio. It is also shown that the DBL has the advantage of free buses from traffic interference but has the disadvantage of disrupting traffic. IBL strategies also can improve bus service and maintaingood car service. In addition, it is found that when both volume and bus ratio arelow, there is no need to implementany bus lane strategy;if the bus ratio is at a medium level, intermittent bus lanes-near intersection(IBL-NI) strategy is preferred; when the volume is high, intermittent bus lane-basic road segment(IBL-BRS) performsbetter. The results indicate that different MBL strategies should be consideredbased ontraffic conditions.This studycan provide some valuable information for traffic managers to address traffic congestion fromaperspective of transit priority.

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