Simulation on the Behavior of Individual Vehicles with Influence Evaluation of Flow Rate and Speed Limits on Freeway

2014 ◽  
Vol 1022 ◽  
pp. 83-86
Author(s):  
Shu Yue Wu ◽  
Xiao Tong Yu ◽  
Zhong Wei He ◽  
Xin Wen
Keyword(s):  
Simulation Model ◽  
Traffic Flow ◽  
Flow Rate ◽  
Transportation Planning ◽  
Traffic Simulation ◽  
Speed Limits ◽  
Micro Simulation ◽  
The Impact ◽  
Scientific Tool

Traffic simulation, a powerful scientific tool, can be applied to both transportation planning and to transportation design and operations. In this paper, a micro-simulation model is developed to simulate the behavior of individual vehicles on the freeway and is used to evaluate the impact of changes in efficiency and safety resulting from changes to traffic flow and speed limits. All aforementioned influences are expressed at a quantitive level.

scholarly journals Research on the impact of ship traffic flow on the restricted channel segment of the middle Yangtze River based on traffic wave theory

2021 ◽  
Vol 3 (8) ◽  
Author(s):  
Ting Liu ◽  
Gabriel Lodewijks
Keyword(s):  
Traffic Flow ◽  
Flow Rate ◽  
Flow Simulation ◽  
Wave Theory ◽  
Flow Density ◽  
List Type ◽  
Ship Traffic ◽  
Traffic Wave ◽  
The Impact ◽  
Channel Segment

Abstract Abstract On the basis of the influence of dry season on ship traffic flow, the gathering and dissipating process of ship traffic flow was researched with Greenshields linear flow—density relationship model, the intrinsic relationship between the ship traffic congestion state and traffic wave in the unclosed restricted channel segment was emphatically explored when the ship traffic flow in a tributary channel inflows, and the influence law of multiple traffic waves on the ship traffic flow characteristics in unclosed restricted segment is revealed. On this basis, the expressions of traffic wave speed and direction, dissipation time of queued ships and the number of ships affected were provided, and combined with Monte Carlo method, the ship traffic flow simulation model in the restricted channel segment was built. The simulation results show that in closed restricted channel segment the dissipation time of ships queued is mainly related to the ship traffic flow rate of segments A and C, and the total number of ships affected to the ship traffic flow rate of segment A. And in unclosed restricted channel segment, the dissipation time and the total number of ships affected are also determined by the meeting time of the traffic waves in addition to the ship traffic flow rate of segments. The research results can provide the theoretical support for further studying the ship traffic flow in unclosed restricted channel segment with multiple tributaries Article Highlights The inflow of tributaries' ship traffic flows has an obvious impact on the traffic conditions in the unenclosed restricted channel segment. The interaction and influence between multiple ship traffic waves and the mechanism of generating new traffic waves are explained. The expression of both dissipation time of queued ships and the total number of ships affected in the closed and unclosed restricted channel segment are given.

Impact Analysis of Different Bus Lane Layout Form to Traffic Efficiency

2014 ◽  
Vol 587-589 ◽  
pp. 2230-2233
Author(s):  
Qian Nan Jiao ◽  
Jian Jun Wang ◽  
Teng Fei Zhang
Keyword(s):  
Comparative Analysis ◽  
Travel Time ◽  
Traffic Flow ◽  
Flow Rate ◽  
Impact Analysis ◽  
Traffic Volume ◽  
Simulation Tool ◽  
Traffic Efficiency ◽  
Micro Simulation ◽  
Bus Lane

This paper use the different layout forms of bus lanes as the study subject, useing the micro-simulation tool VISSIM to comparative analysis different layout forms’ passing traffic volume and travel time in the different traffic volume、traffic flow rate conditions. And offer related suggestions of respective forms’ adaptability.

scholarly journals Capacity Estimation of Multilane Highways under Heterogeneous Traffic Conditions using Micro-Simulation Technique

2020 ◽  
Vol 12 (01) ◽  
pp. 20-25
Author(s):  
Tanumoy Ghosh ◽  
Sudip Kumar Roy ◽  
Subhamay Gangopadhyay
Keyword(s):  
Simulation Model ◽  
Traffic Flow ◽  
Flow Characteristics ◽  
Simulation Models ◽  
Heterogeneous Traffic ◽  
Traffic Condition ◽  
Traffic Conditions ◽  
Geometric Conditions ◽  
Micro Simulation ◽  
Traffic Flow Characteristics

The behavior of a driver of any vehicle is important in estimating heterogeneous traffic conditions with no strict lane discipline. In the present study, a micro-simulation model is used to analyze the mixed traffic condition with different drivers’ behavior parameters. The field data collected on traffic flow characteristics of multilane highways are used in the calibration and validation of the simulation model. Out of the ten coefficient of correlation (CC) parameters in the simulation model, five are used in the present study to make a model of simulation for heterogeneous traffic; the other five parameters are not considered for testing their influence on simulated capacity values as they represent very typical behavior of a driver, either in car-following, or in free-flow conditions. Two separate simulation models are made by changing the CC (CC0, CC1, CC2, CC7, and CC8) parameters, each for a four-lane divided and a six-lane divided highway as the geometric conditions of the roads and the traffic flow is different for both the cases. These models are then applied on two other sections of a four-lane divided and a six-lane divided highway to validate the parameters of the model developed earlier for other sections.

Evaluating the Effects of Transportation—Land-Use Policies on Housing Values and Household Welfare

1980 ◽  
Vol 12 (7) ◽  
pp. 747-764 ◽  
Author(s):  
A Anas
Keyword(s):  
Simulation Model ◽  
Discrete Choice ◽  
Transportation Planning ◽  
Large Scale ◽  
Travel Demand ◽  
Choice Theory ◽  
Property Values ◽  
Computationally Efficient ◽  
Demand Prediction ◽  
The Impact

In a previous article published in this journal (Anas, 1979a), a simulation model developed by the author was used to examine the impact of transit investment on property values in an urban transportation corridor that had a completely centralized employment distribution. The present paper examines the effect of rail-transit investment in the context of various scenarios which deal with urban employment decentralization, housing distribution, transportation pricing, and income composition. From these simulations it appears that under a variety of assumptions regarding urban change the taxation of short-run differential changes in property values caused by transit investment can raise only a small portion of the cost of typical transit investments. The distinctive feature of the simulation model is that it is consistent with the discrete-choice theory of travel demand currently used in transportation planning and travel-demand prediction. But whereas the state of the art in transportation planning ignores the simultaneity of transportation changes and price changes in the housing market, the model developed here is a first attempt to deal with these effects by incorporating discrete-choice theory into a Walrasian market-equilibration procedure. In addition to being a theoretical alternative to the classical bid-rent model, still made use of by urban economists, the new approach is computationally efficient and suitable for large-scale simulation.

Cross-section elements to accommodate passing lanes and vehicle storage during avalanche control for the Trans-Canada Highway in Rogers Pass

1991 ◽  
Vol 18 (2) ◽  
pp. 191-200 ◽  
Author(s):  
John Morrall
Keyword(s):  
Simulation Model ◽  
Traffic Flow ◽  
Cross Section ◽  
Traffic Management ◽  
Traffic Simulation ◽  
Acceptable Level ◽  
Level Of Service ◽  
Separate Analysis ◽  
Common Denominator ◽  
Avalanche Control

The two basic problems facing the Trans-Canada Highway through Rogers Pass, namely the winter problem of adequate vehicle storage areas during avalanche control and the summer problem of maintaining an acceptable level of service by ensuring adequate passing opportunities, may be linked through a common denominator — passing lanes. This paper presents the findings of a recently completed study of the Trans-Canada Highway through Mount Revelstoke and Glacier National Park. The study method is based on the fact that traffic flow characteristics, highway conditions, and operational requirements vary considerably from season to season. Thus, the analysis was broken into two parts, namely a separate analysis of winter and summer conditions. A traffic simulation model was used to determine those locations that could serve as potential sites for passing lanes during summer. The traffic simulation model developed for the passing lane analysis utilized files that describe road geometry, summer traffic flow and composition, and vehicle performance. A separate simulation model was developed to determine vehicle storage requirements of ponding areas during avalanche control. The model developed for winter traffic characteristics also provided the basis for a flexible traffic management strategy. Cross-section elements were developed to accommodate an auxiliary lane to be used as a passing lane in summer and as a parking lane to increase the capacity of ponding areas during avalanche control in winter. Design requirements called for triple stacking of vehicles in ponding areas during avalanche control. To accommodate design year traffic volumes at an acceptable level of service during the summer months, 12 passing lanes totalling 23 km in length were recommended. Six ponding areas, totalling 4 km in length, are coincident with four of the passing lane locations. The paper concludes with a general discussion on the benefits of linking traffic simulation with geometric design to demonstrate how the design life of rural two-lane highways can be extended by the use of low-cost operational improvements such as passing lanes. Key words: highway planning and engineering, two-lane highways traffic management during avalanche stabilization, passing lanes, cross-section elements, Trans-Canada Highway.

scholarly journals Traffic Multiresolution Modeling and Consistency Analysis of Urban Expressway Based on Asynchronous Integration Strategy

2017 ◽  
Vol 2017 ◽  
pp. 1-19
Author(s):  
Liyan Zhang ◽  
Jian Ma ◽  
Bin Ran ◽  
Lixin Yan
Keyword(s):  
Simulation Model ◽  
Traffic Flow ◽  
Hybrid Model ◽  
Traffic Simulation ◽  
Flow Simulation ◽  
Traffic Density ◽  
Simulation Accuracy ◽  
Integration Strategy ◽  
Urban Expressway ◽  
Simulation Scenario

The paper studies multiresolution traffic flow simulation model of urban expressway. Firstly, compared with two-level hybrid model, three-level multiresolution hybrid model has been chosen. Then, multiresolution simulation framework and integration strategies are introduced. Thirdly, the paper proposes an urban expressway multiresolution traffic simulation model by asynchronous integration strategy based on Set Theory, which includes three submodels: macromodel, mesomodel, and micromodel. After that, the applicable conditions and derivation process of the three submodels are discussed in detail. In addition, in order to simulate and evaluate the multiresolution model, “simple simulation scenario” of North-South Elevated Expressway in Shanghai has been established. The simulation results showed the following.(1)Volume-density relationships of three submodels are unanimous with detector data.(2)When traffic density is high, macromodel has a high precision and smaller error and the dispersion of results is smaller. Compared with macromodel, simulation accuracies of micromodel and mesomodel are lower but errors are bigger.(3)Multiresolution model can simulate characteristics of traffic flow, capture traffic wave, and keep the consistency of traffic state transition. Finally, the results showed that the novel multiresolution model can have higher simulation accuracy and it is feasible and effective in the real traffic simulation scenario.

Study on Simulation Model of the Cellular Automaton for Passive Lane-Changing Based on the Avoidance of the Prospective Following Vehicle

2011 ◽  
Vol 268-270 ◽  
pp. 1627-1632
Author(s):  
Jing Bian ◽  
Hong Zhuang ◽  
Wei Li
Keyword(s):  
Simulation Model ◽  
Cellular Automaton ◽  
Traffic Flow ◽  
Traffic Simulation ◽  
Hybrid Vehicles ◽  
Cellular Automaton Model ◽  
Lane Changing ◽  
Cellular Automation ◽  
Simulation Results ◽  
Cellular Automation Model

It is the key fact for the accuracy of traffic simulation that the cellular automation model of traffic flow could simulate the real hybrid traffic flow. This article shows the method to improve cellular automaton model about two-lane hybrid vehicles based on passive lane-changing, to propose the avoidance rules about the prospective following vehicle, and to suggest the cellular automaton model and evolution rules based on the prospective following vehicle’s avoider. The simulation results show that the erroneous judgment rate for changing lane is the important facts for the state of two-lane hybrid traffic flow, and the accuracy of the simulation is improved in this article.

scholarly journals Land Use Change Ontology and Traffic Prediction through Recurrent Neural Networks: A Case Study in Calgary, Canada

2021 ◽  
Vol 10 (6) ◽  
pp. 358
Author(s):  
Abul Azad ◽  
Xin Wang
Keyword(s):  
Neural Network ◽  
Land Use ◽  
Deep Learning ◽  
Land Use Change ◽  
Traffic Flow ◽  
Land Use Planning ◽  
Transportation Planning ◽  
Traffic Prediction ◽  
Modeling Approach ◽  
The Impact

Land use and transportation planning have a significant impact on the performance of cities’ traffic conditions and the quality of people’s lives. The changing characteristics of land use will affect and challenge how a city is able to manage, organize, and plan for new developments and transportation. These challenges can be better addressed with effective methods of monitoring and predicting, which can enable optimal efficiency in how a growing city like Calgary, Canada, can perform. Using ontology in land use planning is a new initiative currently being researched and explored. In this regard, ontology incorporates relationships between the various entities of land use. The aim of this study is to present Land Use Change Ontology (LUCO) with a deep neural network for traffic prediction. We present a Land Use Change Ontology (LUCO) approach, using expressions of how the semantics of land use changes relate to the integration of temporal land use information. This study examines the City of Calgary’s land use data from the years 2001, 2010, and 2015. In applying the LUCO approach to test data, experimental outcomes indicated that from 2001 to 2015 residential land use increased by 30% and open space decreased by 40%. Forecasting traffic is increasingly essential for successful traffic modelling, operations, and management. However, traditional means for predicting traffic flow have largely assumed restrictive model architectures that have not controlled for the amounts of land use change. Inspired by deep learning methods and effective data mining computing capabilities, this paper introduces the deep learning Recurrent Neural Network (RNN) to predict traffic while considering the impact of land use change. The RNN was successful in learning the features of traffic flow under various land use change situations. Experimental results indicated that, with the consideration of LUCO, the deep learning predictors had better accuracy when compared with other existing models. Success of our modeling approach indicates that cities could apply this modeling approach to make land use transportation planning more efficient.

scholarly journals Car Following and Microscopic Traffic Simulation Under Distracted Driving

2021 ◽  
pp. 036119812110003
Author(s):  
Sunbola Zatmeh-Kanj ◽  
Tomer Toledo
Keyword(s):  
Traffic Flow ◽  
Coefficient Of Variation ◽  
Driving Simulator ◽  
Traffic Simulation ◽  
Driving Behavior ◽  
Transportation Systems ◽  
Microscopic Simulation ◽  
Microscopic Traffic Simulation ◽  
Car Following ◽  
The Impact

Microscopic simulation models have been widely used as tools to investigate the operation of traffic systems and different intelligent transportation systems applications. The fidelity of microscopic simulation tools depends on the driving behavior models that they implement. However, current models commonly do not consider human-related factors, such as distraction. The potential for distraction while driving has increased rapidly with the availability of smartphones and other connected and infotainment devices. Thus, an understanding of the impact of distraction on driving behavior is essential to improve the realism of microscopic traffic tools and support safety and other applications that are sensitive to it. This study focuses on car-following behavior in the context of distracting activities. The parameters of the well-known GM and intelligent driver models are estimated under various distraction scenarios using data collected with an experiment conducted in a driving simulator. The estimation results show that drivers are less sensitive to their leaders while talking on the phone and especially while texting. The estimated models are implemented in a microscopic traffic simulation model. The average speed, coefficient of variation of speed, acceleration noise and acceleration and deceleration time fractions were used as measures of performance indicating traffic flow and safety implications. The simulation results show deterioration of traffic flow with texting and to some extent talking on the phone: average speeds are lower and the coefficient of variation of speeds are higher. Further experimentation with varying fractions of texting drivers showed similar trends.

Sign in / Sign up

Export Citation Format

Share Document