Analysis of energy dissipation in traffic flow with a variable slope

2013 ◽  
Vol 392 (16) ◽  
pp. 3301-3307 ◽  
Author(s):  
Wen-Xing Zhu ◽  
Cheng-Hui Zhang
Keyword(s):  
Energy Dissipation ◽  
Traffic Flow

Energy dissipation of traffic flow at an on-ramp

2014 ◽  
Vol 398 ◽  
pp. 172-178 ◽  
Author(s):  
Yu Xue ◽  
San-Jun Kang ◽  
Wei-Zhen Lu ◽  
Hong-Di He
Keyword(s):  
Energy Dissipation ◽  
Traffic Flow

MOTION ENERGY DISSIPATION IN TRAFFIC FLOW ON A CURVED ROAD

2013 ◽  
Vol 24 (07) ◽  
pp. 1350046 ◽  
Author(s):  
WEN-XING ZHU
Keyword(s):  
Friction Coefficient ◽  
Energy Dissipation ◽  
Traffic Flow ◽  
Dissipation Rate ◽  
Energy Dissipation Rate ◽  
Motion Energy ◽  
Dissipation Model ◽  
Curved Road ◽  
Real Traffic ◽  
Good Agreement

We investigate the energy loss of vehicles running on a curved road. The energy dissipation model for traffic flow is derived. Simulations are carried out to examine the energy dissipation in traffic flow on a curved road with friction coefficient and radii of curvature. Results analysis show that the total energy dissipation increases with an increase in the friction coefficient and radii of curvature. Moreover, the energy dissipation rate varies with the density and road length, which is in good agreement with the real traffic situations.

Starting Energy Dissipation of Traffic Flow with On-Ramp

2013 ◽  
Vol 275-277 ◽  
pp. 2640-2645
Author(s):  
Lan Xiao ◽  
Wei Pan ◽  
Yu Xue
Keyword(s):  
Boundary Condition ◽  
Energy Dissipation ◽  
Cellular Automata ◽  
Traffic Flow ◽  
Removal Rate ◽  
Injection Rate ◽  
Critical Values ◽  
Open Boundary ◽  
Open Boundary Condition ◽  
Main Road

The starting energy dissipation of on-ramp system with open boundary condition is investigated by means of cellular automata simulations. We study the influence of the injection rate of on-ramp, the injection rate of main road and the removal rate of main road on the starting energy dissipation of each road. It is found that even though the injection rates neither of on-ramp nor main road have influence on the starting energy dissipation when critical values achieved, the removal rate of main road has a major impact on the starting energy dissipation of the system all along.

scholarly journals Global Optimality under Internet of Vehicles: Strategy to Improve Traffic Safety and Reduce Energy Dissipation

2019 ◽  
Vol 11 (17) ◽  
pp. 4541 ◽  
Author(s):  
Jinhua Tan ◽  
Li Gong ◽  
Xuqian Qin
Keyword(s):  
Energy Dissipation ◽  
Traffic Flow ◽  
Traffic Safety ◽  
Information Exchange ◽  
Negative Impact ◽  
Global Optimality ◽  
Internet Of Vehicles ◽  
The Sustainable Development ◽  
Information Delays ◽  
Car Following Model

Internet of Vehicles (IoV), which enables information exchange among vehicles, infrastructures and environment, is considered to have great potential for improving traffic. However, information delays may lead to driver’s incorrect operations and have a negative impact on traffic flow. To improve traffic safety and reduce energy dissipation under IoV conditions, this paper intends to explore a more favorable driving strategy, which may weaken the adverse effects of information delays. This study regarding driving strategy is based on an improved car-following model with consideration of Global Optimality (GO-FVD model). Linear stability analysis and numerical simulations are carried out to explore the effects of Global Optimality on traffic flow. Results confirm that Global Optimality contributes to enhancing the stability and safety of traffic flow as well as depressing the energy dissipation. In particular, it is more suitable for the low-density traffic to account for Global Optimality. These results can provide theoretical support for the development of favorable driving strategy under IoV conditions, which will promote the sustainable development of intelligent transportation.

An original traffic flow model with signal effect for energy dissipation

2014 ◽  
Vol 25 (07) ◽  
pp. 1450018 ◽  
Author(s):  
Wen-Xing Zhu ◽  
Li-Dong Zhang
Keyword(s):  
Energy Dissipation ◽  
Traffic Flow ◽  
Flow Model ◽  
Mathematical Expression ◽  
Velocity Model ◽  
Energy Dissipation Rate ◽  
Traffic Density ◽  
Traffic Signal Control ◽  
Optimal Velocity ◽  
Traffic Flow Model

We proposed an original traffic flow model with a consideration of signal effect based on Bando's optimal velocity model. The optimal velocity function was improved more realistically in describing the motion process of vehicles moving on a road with signals. Based on the improved model, we derived the mathematical expression for energy dissipation. Simulations are conducted to verify the energy dissipation laws in traffic flow with signals. Numerical results show that energy dissipation (rate) can be affected not only by traffic density, but also traffic signal control parameters: split and cycle.

Carbon dioxide emission in a single-lane cellular automaton model with a series of traffic lights

2020 ◽  
Vol 31 (11) ◽  
pp. 2050154
Author(s):  
H. Binoua ◽  
H. Ez-Zahraouy ◽  
A. Khallouk ◽  
N. Lakouari
Keyword(s):  
Energy Dissipation ◽  
Cellular Automaton ◽  
Traffic Flow ◽  
Control Method ◽  
Carbon Dioxide Emission ◽  
Cellular Automaton Model ◽  
Traffic Light ◽  
Fundamental Diagram ◽  
Traffic Lights ◽  
Synchronized Control

In this paper, we propose a cellular automaton model to simulate traffic flow controlled by a series of traffic lights. The synchronized traffic light and the green wave light strategies were investigated. The spatiotemporal diagrams, energy dissipation, and CO2 emission of the system were presented. Our simulations are conducted to clarify the difference between both strategies and their effects on the traffic flow and the CO2 emission. We found that the traffic flow depends mainly on the strategy used for managing the traffic lights as well as on the parameters of the traffic lights, namely the cycle length, the number of traffic lights and the length of the system. The fundamental diagram has barely the same characteristics for both methods and it depends on the combination of the parameters of the system. We find that the green wave is more convenient for the management of a series of traffic lights than the synchronized control strategy in terms of throughput, especially for large-sized systems. Unlike in terms of CO2 emission and energy dissipation, both control strategies outperform each other depending on the density regions and the parameters of the system. Finally, we investigate the effect of both cycles (i.e. red and green) for the synchronized control method on the CO2 emission. It is found that the green cycle generates often a series of acceleration events that increase CO2 emission.

scholarly journals Effect of Interactions between Vehicles and Mid-Block Crosswalks on Traffic Flow and CO2 Emission

2021 ◽  
Vol 11 (24) ◽  
pp. 11794
Author(s):  
José Roberto Pérez Cruz ◽  
Noureddine Lakouari ◽  
Julio César Pérez Sansalvador ◽  
Jorge Luis Zapotecatl López
Keyword(s):  
Phase Diagram ◽  
Phase Transitions ◽  
Energy Dissipation ◽  
Cellular Automata ◽  
Traffic Flow ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Critical Value ◽  
Cellular Automata Model ◽  
Maximum Current

Unsignalized mid-block raised crosswalks have been adopted as inclusive transport strategies, providing humps to reduce vehicles’ speed to promote drivers to yield to pedestrians. The interaction between vehicles and pedestrians can induce local jams that can merge to become a gridlock. The purpose of this paper is to investigate the interaction between vehicles and the mid-block raised crosswalk, analyzing its effects on traffic flow, instantaneous CO2 emissions, and energy dissipation. A pedestrian–vehicle cellular automata model was developed, where a single-lane road with a mid-block raised crosswalk is considered. The lane boundaries were controlled with the injections rate (α) and extraction rate (β), while the pedestrians’ entrance was controlled with the rate (αp). The system’s phase diagram was constructed, identifying four phases: maximum current, jamming, congestion, and gridlock. All observed phase transitions are of the second order. The transition from maximum current (or jamming) phase to gridlock phase is not noticed. Moreover, since the crosswalk is a bottleneck, the gridlock phase takes place when the pedestrians’ influx exceeds a critical value (αp > 0.8). The study also revealed that the crosswalk is the main precursor of energy dissipation and CO2 emissions, whose major effects are observed during the jamming phase.

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