scholarly journals Appraisal of Busy Traffic Intersections and Design of Coordinated Signal System

2020 ◽  
Vol 8 (5) ◽  
pp. 1105-1109 ◽  
Keyword(s):  
Traffic Flow ◽  
Urban Areas ◽  
Flow Characteristics ◽  
Traffic Signals ◽  
Simulation Software ◽  
Traffic Flows ◽  
Travel Times ◽  
Traffic Intersections ◽  
In Series ◽  
Road Intersections

Road intersections in series in urban areas lead to discord between opposing traffic flows and cause delays and accidents. To overcome these problems at intersections, the traffic flows across the intersections are controlled by using signals. The fixed timings and isolated operation of signals at each intersection along a street may cause delays on red duration and generate vehicular queue during peak hours. Proper timing and coordination of the signal timings with reference to intersection distance and the average travelling speed of vehicles can boost traffic handling capacity along the streets during busiest hours. This work has been conducted to assess the current operating system of traffic signals and investigate the benefits of these signals coordinatedby using micro-simulation software PTV VISSIM. Initially, the VISSIM simulation was calibrated and the coordinated signals were run for execution based on the prepared model in VISSIM. The traffic flow delays and travel times obtained by the simulation were compared with the corresponding values before coordination. A considerable decrease in delays and travel times was noticed after coordinating the signals along the study street. It is also useful for similar traffic coordination studies elsewhere, subjected to the intervals of intersections and traffic flow characteristics are comparable.

scholarly journals Analisis kinerja simpang Ciceri Serang Banten

2018 ◽  
Author(s):  
Darmadi Ir
Keyword(s):  
Time Delay ◽  
Traffic Flow ◽  
Urban Areas ◽  
Queue Length ◽  
Road Network ◽  
Average Degree ◽  
Degree Of Saturation ◽  
Critical Area ◽  
Traffic Flows ◽  
Road Segments

Intersection is a meeting of road segments whose function is to change the direction of traffic flow. Intersection as part of a road network is a critical area in serving traffic flows. In order to support the creation of a reliable, smooth, safe, orderly and comfortable transportation system. especially in urban areas, it is necessary to do research on the crossing conditions of the four Serang city cherries. From the results of the study, the intersections of four Serang Performance Ciceri Intersection intersections are currently considered poor. This can be seen from the average degree of saturation (DS) of 0.7 pcu / hour. The average queue length reaches 33.40 meters and the average time delay is 23.34 pcu / hour (ITP E)Keywords: Fourth intersection, degree of saturation, queue length and average time delay

Evaluation Analysis and Optimization Design of Urban Road Traffic Condition Based on VISSIM

2011 ◽  
Vol 97-98 ◽  
pp. 531-534
Author(s):  
Xin Qiu ◽  
An Xia Zheng ◽  
Ying Zhu ◽  
Bin Xu
Keyword(s):  
Traffic Flow ◽  
Optimization Design ◽  
Road Traffic ◽  
Flow Characteristics ◽  
Simulation Software ◽  
Traffic Condition ◽  
Urban Road ◽  
The Road ◽  
Road Congestion

Based on the survey of the traffic flow characteristics in the intersection, combined with the traffic flow basic principle and the existing research results at home and abroad, the road congestion condition is evaluated by determining the microcosmic evaluation index coefficient by VISSIM microcosmic simulation software. Then, the reasonable measures are put forward to improve urban road congestion condition. The analysis shows that the residents’ trip efficiency is improved and the quality of the urban road traffic condition is ameliorated.

Emergence of 4-D System Fundamental Diagram in Urban Air Mobility Traffic Flow

2021 ◽  
pp. 036119812110200
Author(s):  
Christopher Cummings ◽  
Hani Mahmassani
Keyword(s):  
Traffic Flow ◽  
Flow Characteristics ◽  
Urban Air ◽  
Traffic Flows ◽  
Traffic Patterns ◽  
Fundamental Diagram ◽  
Exhaustible Resource ◽  
Urban Streets ◽  
Macroscopic Fundamental Diagram ◽  
Resolution Scheme

Urban air mobility (UAM) is an emerging mode that promises to provide relief to congested urban streets. UAM relies on airspace, however, which is an exhaustible resource considering minimum aircraft separation requirements. In light of these requirements and UAM vehicle attributes, a simulation is developed to explore UAM traffic flows and congestion development. A decentralized conflict resolution scheme is employed in the form of a non-linear program (NLP) to offer improved flexibility in detours relative to past aircraft simulations. An expansion of Edie’s definitions of density and flow rate are used in conjunction with average speed to explore the relationships between traffic flow characteristics. The results find that UAM traffic flows emulate those of other modes, by following the familiar traffic patterns of build-up and breakdown captured in the macroscopic fundamental diagram. These findings also suggest the presence of a capacity of airspace that should be carefully managed by operators to achieve optimal system performance. The relationships established in this study highlight issues that UAM operators and aviation planners may face and could be used to improve the vehicle traffic modeling of other UAM models.

scholarly journals KELIŲ TRANSPORTO SRAUTŲ MODELIO TYRIMAS, TAIKANT DISKRETINĮ TRANSPORTO SRAUTŲ METODĄ / ROAD TRAFFIC FLOW MODEL INVESTIGATION BY USING DISCRETE TRAFFIC FLOW METHOD

2018 ◽  
Vol 10 (0) ◽  
pp. 1-5
Author(s):  
Algimantas Danilevičius ◽  
Marijonas Bogdevičius
Keyword(s):  
Traffic Flow ◽  
Flow Model ◽  
Road Traffic ◽  
Traffic Signals ◽  
Flow Density ◽  
Traffic Flows ◽  
Traffic Flow Model ◽  
Velocity Flow ◽  
Theoretical Investigations ◽  
Discrete Mathematical Model

The traffic flows are influenced by various factors. In order to determine the characteristics of traffic flows in response to changing conditions, comprehensive research that is based on the best possible methods for simulating different street situations is necessary. The article determines the influence on transport flows due to changed conditions at the end of the simulated street. It presents the dynamic of the main parameters of the traffic flow (velocity, flow and density) depending on the time of changing traffic signals and the changed traffic flow density at the last simulated street point. The results are based on a discrete, mathematical model of traffic flows. The conditions determined by theoretical investigations determine the negative changes in the dynamics of traffic flows on a simulated street. Santrauka Transporto priemonių srautams turi įtakos įvairūs veiksniai. Norint nustatyti transporto srautų savybes priklausomai nuo pakitusių sąlygų reikalingi išsamūs tyrimai, grindžiami kuo tikslesniais metodais imituojant įvairių situacijų gatvėse modelius. Straipsnyje nustatoma įtaka transporto srautams dėl pakitusių sąlygų modeliuojamos gatvės pabaigoje. Pateikiama transporto srautų pagrindinių parametrų (greičio, eismo intensyvumo ir koncentracijos) dinamika priklausomai nuo šviesoforų signalų perjungimo laiko ir pakitusios transporto srauto koncentracijos paskutiniame modeliuojamos gatvės taške. Rezultatams gauti taikomas diskretinis transporto srautų matematinis modelis. Teoriniais tyrimais nustatytos sąlygos, lemiančios neigiamus pokyčius transporto srautų dinamikai modeliuojamame kelyje.

scholarly journals STUDY OF FUNDAMENTAL MACROSCOPIC CHARACTERISTICS OF TRAFFIC FLOWS BY WAVELET ANALYSIS OF AUDIO SIGNALS

2021 ◽  
Vol 6 (4) ◽  
pp. 35-39
Author(s):  
O. K. Golovnin ◽  
S. A. Prokhorov ◽  
A. A. Stolbova
Keyword(s):  
Wavelet Analysis ◽  
Traffic Flow ◽  
Flow Characteristics ◽  
Traffic Flows ◽  
Audio Signals ◽  
Macroscopic Models ◽  
Traffic Flow Characteristics

The paper proposes an approach to the study of the traffic flow characteristics by wavelet analysis of audio signals, which makes it possible to build fundamental macroscopic models of traffic flows with the possibility of dividing by types of vehicles.

scholarly journals Tracking and Simulating Pedestrian Movements at Intersections Using Unmanned Aerial Vehicles

2019 ◽  
Vol 11 (8) ◽  
pp. 925 ◽  
Author(s):  
Jiasong Zhu ◽  
Siyuan Chen ◽  
Wei Tu ◽  
Ke Sun
Keyword(s):  
Likelihood Estimation ◽  
Traffic Signals ◽  
Force Model ◽  
Motion Model ◽  
Social Force ◽  
Social Force Model ◽  
Traffic Intersections ◽  
Aerial Vehicle ◽  
Road Intersections ◽  
Traffic Organization

For a city to be livable and walkable is the ultimate goal of future cities. However, conflicts among pedestrians, vehicles, and cyclists at traffic intersections are becoming severe in high-density urban transportation areas, especially in China. Correspondingly, the transit time at intersections is becoming prolonged, and pedestrian safety is becoming endangered. Simulating pedestrian movements at complex traffic intersections is necessary to optimize the traffic organization. We propose an unmanned aerial vehicle (UAV)-based method for tracking and simulating pedestrian movements at intersections. Specifically, high-resolution videos acquired by a UAV are used to recognize and position moving targets, including pedestrians, cyclists, and vehicles, using the convolutional neural network. An improved social force-based motion model is proposed, considering the conflicts among pedestrians, cyclists, and vehicles. In addition, maximum likelihood estimation is performed to calibrate an improved social force model. UAV videos of intersections in Shenzhen are analyzed to demonstrate the performance of the presented approach. The results demonstrate that the proposed social force-based motion model can effectively simulate the movement of pedestrians and cyclists at road intersections. The presented approach provides an alternative method to track and simulate pedestrian movements, thus benefitting the organization of pedestrian flow and traffic signals controlling the intersections.

Smart Driving System for Improving Traffic Flow

2017 ◽  
Vol 7 (7) ◽  
pp. 236
Author(s):  
Rajesh Kumar Gupta ◽  
L. N. Padhy ◽  
Sanjay Kumar Padhi
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Adaptive Cruise Control ◽  
Human Perception ◽  
Cruise Control ◽  
Driving System ◽  
V2v Communication ◽  
Traffic Conditions ◽  
Cooperative Adaptive Cruise Control

Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay.  For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.

scholarly journals Association of Infrastructure and Route Environment Factors with Cycling Injury Risk at Intersection and Non-Intersection Locations: A Case-Crossover Study of Britain

2021 ◽  
Vol 18 (6) ◽  
pp. 3060
Author(s):  
Rachel Aldred ◽  
Georgios Kapousizis ◽  
Anna Goodman
Keyword(s):  
Injury Risk ◽  
Conditional Logistic Regression ◽  
Traffic Signals ◽  
Control Groups ◽  
Class A ◽  
Case Crossover ◽  
Main Class ◽  
Road Intersections ◽  
Matched Case ◽  
Safety In Numbers

Objective: This paper examines infrastructural and route environment correlates of cycling injury risk in Britain for commuters riding in the morning peak. Methods: The study uses a case-crossover design which controls for exposure. Control sites from modelled cyclist routes (matched on intersection status) were compared with sites where cyclists were injured. Conditional logistic regression for matched case–control groups was used to compare characteristics of control and injury sites. Results: High streets (defined by clustering of retail premises) raised injury odds by 32%. Main (Class A or primary) roads were riskier than other road types, with injury odds twice that for residential roads. Wider roads, and those with lower gradients increased injury odds. Guard railing raised injury odds by 18%, and petrol stations or car parks by 43%. Bus lanes raised injury odds by 84%. As in other studies, there was a ‘safety in numbers’ effect from more cyclists. Contrary to other analysis, including two recent studies in London, we did not find a protective effect from cycle infrastructure and the presence of painted cycle lanes raised injury odds by 54%. At intersections, both standard and mini roundabouts were associated with injury odds several times higher than other intersections. Presence of traffic signals, with or without an Advanced Stop Line (‘bike box’), had no impact on injury odds. For a cyclist on a main road, intersections with minor roads were riskier than intersections with other main roads. Conclusions: Typical cycling environments in Britain put cyclists at risk, and infrastructure must be improved, particularly on busy main roads, high streets, and bus routes.

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