The Influence of Trucks on Traffic Flow — An Investigation on the Nagel–schreckenberg-Model

Ebersbach, Anja; Schneider, Jan; Morgenstern, Ingo; Hammwöhner, Rainer

doi:10.1142/s0129183100000717

Cited by 20 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…d. Agent-based simulations exhibit fluctuations; this can be of advantage if one wants to include fluctuations into the simulation. However, there are a number of challenges: a. Agent-based simulations scale quadratically (or with some other exponent larger than 1) with the number of individuals involved, e.g., if each individual gets the chance to interact with any other individual [7][8][9]. b. Agent-based simulations exhibit fluctuations; this can be a disadvantage if one is interested in average values.…”

Section: Modeling Social Dynamics: Methodological Considerationsmentioning

confidence: 99%

Simplified Modeling of the Evolution of Skills in a Spatially Resolved Environment

Füchslin¹,

Schneider²,

Ott³

et al. 2019

The 2019 Conference on Artificial Life

View full text Add to dashboard Cite

We present a model for the spread, transmission and competition of skills with an emphasis on the role of spatial mobility of individuals. From a methodological point of view, we seek mathematical and computational simplicity in the sense of a minimal model. This minimalism lets us use a infinite dimensional simplex space and not a Euclidean space as underlying structure. Such a simplex captures the essentials of spatial heterogeneity without the mathematical difficulties of neighborhood structures.

show abstract

Section: Modeling Social Dynamics: Methodological Considerationsmentioning

confidence: 99%

Simplified Modeling of the Evolution of Skills in a Spatially Resolved Environment

Füchslin¹,

Schneider²,

Ott³

et al. 2019

The 2019 Conference on Artificial Life

View full text Add to dashboard Cite

show abstract

“…Many specialized studies have investigated the road running characteristics attributable to large vehicles. Related research mainly analyzed the bottleneck effect of large vehicles from the microscopic theory and obtained some generally accepted conclusions [4][5][6][7][8][9][10][11]. In 1992, Gazis and Herman [4] proposed a mobile bottleneck concept for vehicle queuing caused by slow vehicles on low-speed roads and proposed a mobile bottleneck model for symmetric lane changing in two-lane highways.…”

Section: Introductionmentioning

confidence: 99%

“…In the simulation of nonuniform traffic flow with mixed fast and slow cars, the existence of a slow train was found to have a significant influence on the traffic flow. Ebersbach et al [6] used the NS model to add trucks into passenger car flow. Trucks were found to have a significant impact on singlelane traffic characteristics, but this effect was negligible for high-density vehicles, and the impact of trucks could be completely ignored for low-density traffic flow or low truck ratios.…”

Section: Introductionmentioning

confidence: 99%

Influence of Large Vehicles on the Speed of Expressway Traffic Flow

Gao

Jia

et al. 2020

Advances in Civil Engineering

View full text Add to dashboard Cite

Large vehicles impact the quality of traffic flow. To predict the impact of large-scale vehicles on the average speed of traffic flow, vehicle speeds under different vehicle mixing rates were collected through field observations. A laser roadside traffic survey instrument with automatic vehicle type identification functionality was used to collect cross section traffic flow data. The v/C ratio, large vehicle mixing rate, and average speed of traffic were calculated for each data set. A total of 158 traffic flow data sets were captured and divided into three groups according to the v/C ratio of the expressway. The v/C ratio ranges of the three groups are v/C≤0.35, 0.35<v/C≤0.55, and 0.55<v/C≤0.90. SPSS software was used to analyze the correlation between the vehicle mixing rate and the average speed under different traffic flow conditions, and a model was determined between the average speed of the vehicle flow and the large vehicle mixing rate. Analysis of the results with SPSS revealed a negative logarithmic linear relationship between the average traffic speed and the mixing rate of large vehicles. The results could also be applied to passenger cars. The models are considered as corrections of the average speed of the traffic flow after the mixing of large vehicles. When the mixing rate of large vehicles is close to zero, the forecast value of the model is the average speed of passenger cars. Furthermore, as the traffic volume of the road section increased, the influence of the mixing rate on traffic flow speed became more obvious. The adaptability of the proposed prediction model of the expressway mixing rate was verified by evaluating model predictions against actual measurements.

show abstract

“…Jia et al, Ebersbach et al, and Xiao et al used the heterogeneous CA model to study the impact of trucks on traffic flow. They studied the influence of vehicle length, truck percentage, and maximum speed on the system performance [20][21][22]. For the existing CA models, when modelling heterogeneous traffic flow, they only give different characteristic parameters (e.g., vehicle length, acceleration, and maximum speed) for different vehicle types, but the update rules are still the same.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Impact of Trucks on Traffic Flow Based on an Improved Cellular Automaton Model

Kong

Guo

Yang

et al. 2016

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

This paper aims to analyze the impact of trucks on traffic flow and propose an improved cellular automaton model, which considers both the performance difference between passenger cars and trucks and the behaviour change of passenger cars under the impact of trucks. A questionnaire survey has been conducted to find out whether the impact of trucks exists and how the behaviour of passenger car drivers changes under the impact of trucks. The survey results confirm that the impact of trucks exists and indicate that passenger car drivers will enlarge the space gap, decelerate, and change lanes in advance when they are affected. Simulation results show that traffic volume is still affected by percentages of trucks in the congestion phase in the proposed model compared with traditional heterogeneous cellular automaton models. Traffic volume and speed decrease with the impact of trucks in the congestion phase. The impact of trucks can increase traffic congestion as it increases. However, it has different influences on the speed variance of passenger cars in different occupancies. In the proposed model, the relative relationship of the space gap between car-following-truck and car-following-car is changeable at a certain value of occupancy, which is related to the impact of trucks.

show abstract

The Influence of Trucks on Traffic Flow — An Investigation on the Nagel–schreckenberg-Model

Cited by 20 publications

References 5 publications

Simplified Modeling of the Evolution of Skills in a Spatially Resolved Environment

Simplified Modeling of the Evolution of Skills in a Spatially Resolved Environment

Influence of Large Vehicles on the Speed of Expressway Traffic Flow

Analyzing the Impact of Trucks on Traffic Flow Based on an Improved Cellular Automaton Model

Contact Info

Product

Resources

About