Traffic Overflow Modeling and Numerical Simulation

2012 ◽  
Vol 241-244 ◽  
pp. 2072-2075
Author(s):  
Jing Shan Pan ◽  
Li Dong Zhang
Keyword(s):  
Numerical Simulation ◽  
Traffic Flow ◽  
Queue Length ◽  
Flow Model ◽  
Negative Impact ◽  
Intrinsic Factor ◽  
Time Interval ◽  
Effective Solution ◽  
Traffic Flow Model ◽  
Simulation Results

Traffic overflow has great negative impact on normal traffic flow. Improper time setting and offset, even more right turn input traffic flow can cause this extreme phenomenon. In order to discover the intrinsic factor and relationship between overflow and signal setting, traffic flow incoming, we build the traffic flow model. This model takes two adjacent crosses as example, and to count the remained traffic flow queue length in given time interval. The simulation results prove our model’s feasibility. Our model well helps us to understand the overflow characteristics and to find the effective solution to conquer it in the future.

An Extended Car-Following Model in a Multi-Interaction Driving System

2012 ◽  
Vol 178-181 ◽  
pp. 2717-2720
Author(s):  
Man Xian Tuo
Keyword(s):  
Numerical Simulation ◽  
Traffic Flow ◽  
Flow Model ◽  
Extended Model ◽  
Traffic Flow Model ◽  
Driving System ◽  
Car Following ◽  
Traffic Jams ◽  
Car Following Model ◽  
The Stability

An extended traffic flow model is proposed by introducing the multiple information of preceding cars. The linear stability condition of the extended model is obtained, which shows that the stability of traffic flow is improved by considering the interaction of preceding cars to the following car. Numerical simulation shows that the traffic jams are suppressed efficiently by taking into account the multiple information of the preceding cars.

The Role of Traffic Flow Preview for Planning Fuel Optimal Vehicle Velocity

2010 ◽  
Author(s):  
Behrang Asadi ◽  
Chen Zhang ◽  
Ardalan Vahidi
Keyword(s):  
Traffic Flow ◽  
Fuel Economy ◽  
Flow Model ◽  
Optimal Velocity ◽  
Traffic Flow Model ◽  
Traffic Pattern ◽  
Vehicle Velocity ◽  
Simulation Results ◽  
Traffic Wave

A vehicle’s untimely arrival at a local traffic wave with lots of stops and goes increases its fuel use. This paper proposes predictive planning of the vehicle velocity for reducing the velocity transients in upcoming traffic waves. Macroscopic evolution of traffic pattern along the vehicle route is first estimated by combining a traffic flow model. The fuel optimal velocity trajectory is calculated by solving an optimal control problem with the spatiotemporally varying constraint imposed by the traffic. Preliminary simulation results indicate the potential for improvement in fuel economy with a little compromise on travel time.

scholarly journals Numerical Simulation of a Mathematical Traffic Flow Model Based on a Nonlinear Velocity-Density Function

1970 ◽  
Vol 34 (1) ◽  
pp. 15-22 ◽  
Author(s):  
MH Kabir ◽  
MO Gani ◽  
LS Andallah
Keyword(s):  
Numerical Simulation ◽  
Traffic Flow ◽  
Flow Model ◽  
Initial Boundary ◽  
Initial Boundary Value Problem ◽  
Traffic Flow Model ◽  
Upwind Difference Scheme ◽  
Density Relationship ◽  
Initial Boundary Value ◽  
Nonlinear Velocity

A mathematical macroscopic traffic flow model known as Lighthill, Whitham and Richards(LWR) model appended with a closure nonlinear velocity-density relationship yielding a quasilinearfirst order (hyperbolic) partial differential equation as an initial boundary value problem(IBVP) was considered. The traffic model IBVP by finite difference method which leads to a firstorder explicit upwind difference scheme was discretized. Computer programs for theimplementation of the numerical scheme and perform numerical experiments in order to verifysome qualitative traffic flow behaviour for various traffic parameters were developed.Key words: Numerical simulation; Traffic flow model; Nonlinear velocity; Density functionDOI: 10.3329/jbas.v34i1.5488Journal of Bangladesh Academy of Sciences, Vol.34, No.1, 15-22, 2010

Dynamic congested traffic states of lattice hydrodynamic model with an on-ramp and its immediate upstream off-ramp

2018 ◽  
Vol 32 (29) ◽  
pp. 1850325 ◽  
Author(s):  
Tao Wang ◽  
Jing Zhang ◽  
Shubin Li ◽  
Haoming Du ◽  
Ge Gao
Keyword(s):  
Traffic Flow ◽  
Flow Model ◽  
Lane Change ◽  
Lattice Hydrodynamic Model ◽  
Traffic Patterns ◽  
Traffic Flow Model ◽  
Congested Traffic ◽  
Stop And Go ◽  
Proposed Model ◽  
Simulation Results

This paper investigates the features of congested traffic flow near the combination of off-ramp and on-ramp. Firstly, the stochastic off-ramp and on-ramp are designed. Then, a two-lane lattice hydrodynamic traffic flow model coupled with a combination bottleneck is proposed to reproduce the empirical phenomena. In the simulation, the asymmetric-lane change rules were adopted, and many congested traffic flow patterns were observed near the combination bottlenecks, such as homogeneous synchronized traffic (HST), moving localized cluster (MLC), triggered stop-and-go traffic (TSG), oscillating congested traffic (OCT), pinned localized cluster (PLC), and homogeneous congested traffic (HCT). The obtained simulation results suggest that the proposed model is good and can produce the observed congestion spatiotemporal traffic patterns well.

scholarly journals Numerical Simulation of a Second Order Traffic Flow Model

2016 ◽  
Vol 34 ◽  
pp. 101-110
Author(s):  
Tauhedul Azam ◽  
MK Pandit ◽  
LS Andallah
Keyword(s):  
Numerical Simulation ◽  
Numerical Solution ◽  
Traffic Flow ◽  
Flow Model ◽  
Flow Behavior ◽  
Second Order ◽  
Order Partial Differential Equation ◽  
Central Difference ◽  
Traffic Flow Model ◽  
Better Than

A second order fluid dynamical traffic flow model is considered which is a parabolic type second order partial differential equation appended with initial and boundary conditions reads as an initial boundary value problem (IBVP). For a linear velocity-density relation the paper presents the analytical solution of the model by using Cole-Hopf transformation. For the numerical solution of the IBVP, we investigate explicit central difference scheme and implement the numerical scheme by developing computer programming code. Error estimation is produced which shows the numerical solution is accurate up to eight decimal places and this result is much better than the work presented in [6]. The numerical feature of rate of convergence observed by graphical presentation is also found better than the previous work. The computed numerical simulation results are seen in a good qualitative agreement with the well known traffic flow behavior for various parameters.GANIT J. Bangladesh Math. Soc.Vol. 34 (2014) 101-110

scholarly journals A traffic flow model considering signal light influence and its numerical simulation

2008 ◽  
Vol 57 (1) ◽  
pp. 56
Author(s):  
Tang Tie-Qiao ◽  
Huang Hai-Jun ◽  
Xu Gang ◽  
Xue Yu
Keyword(s):  
Numerical Simulation ◽  
Traffic Flow ◽  
Flow Model ◽  
Traffic Flow Model ◽  
Signal Light
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