The traffic flow controlled by the traffic lights in the speed gradient continuum model

2005 ◽  
Vol 355 (2-4) ◽  
pp. 551-564 ◽  
Author(s):  
Rui Jiang ◽  
Qing-Song Wu
Keyword(s):  
Traffic Flow ◽  
Continuum Model ◽  
Traffic Lights ◽  
Speed Gradient

scholarly journals Characteristics of Traffic Flows at Kuda Mati non-traffic light Intersection in Workhour and Holidays

2018 ◽  
Vol 73 ◽  
pp. 08030
Author(s):  
F. Betaubun Herbin
Keyword(s):  
Traffic Flow ◽  
Movement Pattern ◽  
Survey Method ◽  
Traffic Flows ◽  
Traffic Light ◽  
City Center ◽  
Work Time ◽  
Traffic Lights ◽  
Economic Support ◽  
The City

Characteristics of traffic flow needs to be revealed to describe the traffic flow that occurred at the research location. One of the patterns of traffic flow movement of Merauke Regency that is important enough to be observed is the movement pattern that occurs at Kuda Mati Non-traffic lights Intersection. This intersection is one of the access for economic support of Merauke Regency. The intersection connects the city center to the production centers and is used by the community to perform activities in meeting their needs such as working and meeting the needs of clothing, food and shelter. This fulfillment activity is usually differentiated according to work time and holiday time. The method used is survey method to describe the characteristics of traffic flow at the intersection. Data analysis applied MKJI 1997. The results show that peak hour traffic flow occurs at 17.00 - 18.00 on holiday 803 smp / hour, while for working time the traffic flow is evenly distributed with maximum vehicle volume occur at 12:00 to 13:00 which amounted to 471 smp / hour.

scholarly journals Application of Sidra 4.0 Software Traffic Flow in Intersection in Kuala Lumpur

2018 ◽  
Vol 7 (2.29) ◽  
pp. 696
Author(s):  
Abduraouf. B. Z. Alshetwi ◽  
Riza Atiq Abdullah O.K. Rahmat ◽  
Muhamad Nazri Borhan ◽  
Shaban Ismael Albrka Ali ◽  
Hamza Imhimmed Mohamed Irtema
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Carbon Dioxide Emissions ◽  
Network Performance ◽  
Travel Speed ◽  
Light Signal ◽  
Present Condition ◽  
Current Status ◽  
Average Delay ◽  
Traffic Lights

Traffic signals are one of the most effective Traffic Flow and flexible active traffic control utilized extensively in a number of global cities. The traffic signal benefits include an organized traffic movement, an increased intersection capacity and needs only modest geometric design. Furthermore, there are numerous significant methods in improving network performance by directing the traffic lights’ flow at the intersection. This study showed, together with the capability of improving the level of service (LOS), the intersection light signal volume, fuel consumption (FUC), average delay (AVD), operating costs (OPC), Carbon dioxide emissions (CO2E) and travel speed (TS). The Jalan Kampung Pandan intersection light signal capacity is 1985.3, Jalan Imbi – Raja Chulan 1793.2 and Jalan Imbi 3238.1. The FUC present condition is approximately 58,881.3 lit/s from Jalan Raja Imbi- Chulan, in addition to 34,687.6 lit/s Jalan Kampung Pandan on the trip, along with 55,173.6 lit/s to Jalan Imbi railway journey. Additionally, the results displays that the quantity of OPC acquired was 1138847.2 RM/hr for Jalan Raja Imbi- Chulan, 659235.5 RM/hr for Jalan Kampung Pandan and 1054115.7 RM/hr for Jalan Imbi. The CO2E results amount of CO2E attained were 147203.3 to Jalan Raja Imbi- Chulan, in addition to 86719.1 Jalan Kampung Pandan and 137934. To Jalan Imbi. Peak Travel speed at TS intersection current status is approximately 0.5 km/h from Jalan Imbi- Raja Chulan, along with 0.8 km/h for Jalan Kampung Pandan in the trip, together with 1.2 km/h to Jalan Imbi on a trip.  

scholarly journals Traffic flow on realistic road networks with adaptive traffic lights

2011 ◽  
Vol 2011 (04) ◽  
pp. P04008 ◽  
Author(s):  
Jan de Gier ◽  
Timothy M Garoni ◽  
Omar Rojas
Keyword(s):  
Traffic Flow ◽  
Road Networks ◽  
Traffic Lights

A STUDY OF CITY TRAFFIC IN AFTERNOON RUSH HOURS

2013 ◽  
Vol 24 (06) ◽  
pp. 1350040 ◽  
Author(s):  
EDGAR ÁVALOS ◽  
D. W. HUANG ◽  
W. N. HUANG
Keyword(s):  
Cellular Automaton ◽  
Travel Time ◽  
Traffic Flow ◽  
Traffic Lights ◽  
Suburban Areas

The traffic of vehicles from downtown to suburban areas is investigated numerically. We propose a cellular automaton to simulate the traffic of vehicles within a city regulated by traffic lights. Both traffic flow and travel time are presented and we discuss some strategies to optimize these quantities.

scholarly journals PATTERNS OF URBAN TRANSPORT FLOWS GENERATION

2020 ◽  
Vol 1 (154) ◽  
pp. 248-252 ◽  
Author(s):  
I. Chumachenko ◽  
A. Galkin ◽  
N. Davidich ◽  
Y. Kush ◽  
I. Litomin
Keyword(s):  
Nervous System ◽  
Travel Time ◽  
Traffic Flow ◽  
Individual Characteristics ◽  
Urban Transport ◽  
Traffic Intensity ◽  
Important Criterion ◽  
Traffic Lights ◽  
The Road ◽  
Expert Opinions

The article is devoted to explaining the issue of exploring the patterns of formation of urban traffic flows in case of the development of urban transport systems projects. Existing methods for predicting traffic flow parameters are developed for all drivers of vehicles, regardless of their individual characteristics, and contain only travel time as a parameter. It is proposed to use the route run, travel time, traffic intensity as the possible criteria, the route runs along the main roads, the condition of the road surface, the number of traffic lights on the route, and fatigue when driving. Based on the results of a questionnaire survey of drivers of individual vehicles, the significance of the criteria for choosing a route of movement for drivers with various types of nervous systems is assessed. The most significant criterion was set up when choosing a route for travel is the “condition of the road surface”. The second most important criterion is “run along the route”. The third criterion was “travel time”. The criterion “traffic intensity” has become even less significant for drivers. The next most important criterion was “the route take place over the main roads”. Even less significant was the criterion “quantity of traffic lights on the route”. The criterion “fatigue during movement” became the least significant. To assess the consistency of expert opinions, a concordance coefficient was used. The values of the concordance coefficient showed that there is a consistency of expert opinions both for the total population of drivers and for their groups, divided on the basis of “temperament”. It was found that when choosing a travel route, drivers are guided by numerous criteria. Moreover, the advantage or disadvantage of one or another criterion depends on its individual characteristics, which are determined by the properties of the central nervous system. Keywords: driver, route, traffic flow, vehicle, questionnaire, nervous system, criterion, significance.

scholarly journals USING THE COMPLEX OF PHOTO AND VIDEO RECORDING OF TRAFFIC VIOLATIONS TO IDENTIFY DETERMINISTIC AND STOCHASTIC COMPONENTS OF THE TRAFFIC FLOW INTENSITY

2021 ◽  
pp. 61-71
Author(s):  
M.G. Boyarshinov ◽  
◽  
A. S. Vavilin ◽  
A.G. Shumkov ◽  
◽  
...  
Keyword(s):  
Traffic Flow ◽  
Methodological Approach ◽  
Video Recording ◽  
Statistical Processing ◽  
Practical Significance ◽  
Traffic Flows ◽  
Traffic Lights ◽  
Deterministic Component ◽  
Traffic Violations ◽  
Flow Intensity

The relevance of the manuscript is due to the need to process and analyze the information accumulated by the complexes of photo-video recording of traffic violations, which will further develop mathematical, computational and simulation models of road transport, solve problems of optimization and management of traffic flows, make management decisions to reduce the number of congestion and reduce the anthropogenic load on the environment. The object of the study is a part of a three-lane road with heavy one-way traffic, equipped with a software and technical complex that allows measuring the main characteristics of the traffic flow (vehicle speeds, including the average values on the controlled road part, driving time, etc.). The subject of the study is the traffic flow intensity during a 7-day time (from Monday to Sunday). The analysis of the obtained dependences allowed us to formulate a hypothesis about the presence of determin- istic and stochastic components in the traffic flow intensity, which is a random function of time, and the verification of which is the purpose of this study. Statistical processing of the obtained data is used as a theoretical and methodological approach, as well as the assumption that the traffic flow intensity can be represented by the sum of deterministic and stochastic components. The developed approach using the smoothing procedure allowed us to select both components, and this is a scientific novelty of the analysis performed. As a result of the study, it is shown that the deterministic component of the traffic flow intensity for working days is qualitatively different from the deterministic component for weekends. Statistical indicators of probabilistic distributions of traffic flow intensities and random components selected from them are determined. Estimates of the correspondence of the selected curves to the normal law of probability distribution are obtained using the Kolmogorov and Pearson criteria, which contradict each other. Practical significance consists in the use of a deterministic component for predicting traffic flows, controlling the operation of traffic lights, monitoring the operation of equipment, as well as in the reconstruction, design and construction of roads and road objects. The direction of further research is to obtain, statistically process and generalize data on the traffic flows intensity in other parts of the road network.

scholarly journals Optimization of Traffic Flow On KS Tubun Street using Greenberg Model

2019 ◽  
Vol 8 (2S7) ◽  
pp. 83-86
Keyword(s):  
Traffic Flow ◽  
Red Light ◽  
Green Light ◽  
Light Cycle ◽  
Traffic Light ◽  
Traffic Jam ◽  
Traffic Lights ◽  
The Road ◽  
Road Users ◽  
Time Parameters

KS Tubun Street is a street in Bogor, which has a fairly high vehicle volume and become one of a high-traffic jam area. This is caused by KS Tubun Street is the main road for road users from Jakarta and Bogor. Traffic jam problem that occurs due to the confluence interchange of traffic flow and traffic lights settings that are not proportional to the volume of vehicles across the road. Optimization of traffic flow at KS Tubun Street performed by the stages of forming a model of traffic flow, determining the density and velocity of the vehicle is based on the Greenberg model, and determining the length of the traffic lights to avoid a buildup of vehicles. The result is a traffic flow model with distance and time parameters. The density of vehicles that occurs on the streets of KS. Tubun street based on the Greenberg model between 180 to 240 unit car of passanger (ucp) with the average velocity of vehicles 15 to 19.5 km per hour. The density of vehicles on KS. Tubun street can be break down by increasing time. Traffic light cycle time can be reduced for 8 seconds with the red light glowing time is 80 seconds and the green light glowing time is 62 seconds.

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