Effectiveness of driver's bounded rationality and speed guidance on fuel-saving and emissions-reducing at a signalized intersection

Wang, Xiaoning; Liu, Minzhuang; Ci, Yusheng; Yang, Yuxuan

doi:10.1016/j.jclepro.2021.129343

Cited by 15 publications

(6 citation statements)

References 40 publications

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“…Generally, traffic emission and fuel consumption rely on the operating conditions of the vehicle configuration and the driver's attitude towards driving and their decision to pass through the signalized intersection [54]. Also, it depends on the acceleration, deceleration, and vehicle speed.…”

Section: Traffic Emission and Fuel Consumption Modelsmentioning

confidence: 99%

A Comprehensive Review on Traffic Control Modeling for Obtaining Sustainable Objectives in a Freeway Traffic Environment

Sheikh

Peng

2022

Journal of Advanced Transportation

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Traffic control strategy plays a significant role in obtaining sustainable objectives because it not only improves traffic mobility but also enhances traffic management systems. It has been developed and applied by the research community in recent years and still offers various challenges and issues that may require the attention of researchers and engineers. Recent technological developments toward connected and automated vehicles are beneficial for improving traffic safety and achieving sustainable goals. There is a need to develop a survey on traffic control techniques, which could provide the recent developments in the traffic control strategy and could be useful in obtaining sustainable goals. This survey presents a comprehensive investigation of traffic control techniques by carefully reviewing existing methods from a new perspective and reviews various traffic control strategies that play an important role in achieving sustainable objectives. First, we present traffic control modeling techniques that provide a robust solution to obtain reasonable traffic and sustainable mobilities. These techniques could be helpful for enhancing the traffic flow in a freeway traffic environment. Then, we discuss traffic control strategies that could be helpful for researchers and practitioners to design a robust freeway traffic controller. Second, we present a comprehensive review of recent state-of-the-art methods on the vehicle design control strategy, which is followed by the traffic control design strategy. They aim to reduce traffic emissions and energy consumption by a vehicle. Finally, we present the open research challenges and outline some recommendations which could be beneficial for obtaining sustainable goals in traffic systems and help researchers understand various technical aspects in the deployment of traffic control systems.

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Section: Traffic Emission and Fuel Consumption Modelsmentioning

confidence: 99%

A Comprehensive Review on Traffic Control Modeling for Obtaining Sustainable Objectives in a Freeway Traffic Environment

Sheikh

Peng

2022

Journal of Advanced Transportation

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“…Especially at the intersection of three-fork roadways, as a requirement for vehicle transport, there are many uphill and downhill gradients and turns in the roads. This design is not only an important node for traffic flow convergence, steering, and diversion during the transportation of underground roadways but also the key to ensuring smooth underground traffic [2]. When a coal mine underground mining vehicle cannot obtain countdown information from the three-fork roadway signal light intersection in real time during driving, the lack of reasonable speed suggestions causes the mining vehicle to frequently accelerate, decelerate, and stop [3], causing traffic bottlenecks [4][5][6], resulting in the three-fork roadway intersection becoming the key area of coal mine underground transportation network congestion [7][8][9], which increases the hidden safety hazards of coal mine underground mining vehicles and reduces transportation efficiency.…”

Section: Introductionmentioning

confidence: 99%

Research on a Speed Guidance Strategy for Mine Vehicles in Three-Fork Roadways Based on Vehicle–Road Coordination

Zhang,

Xue,

Qin

et al. 2023

Sustainability

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Aiming at the traffic congestion problem of mining vehicles in the intersection area of three-fork roadways in coal mines, this paper proposes a speed guidance strategy based on a vehicle–road cooperative environment to adjust the running state of mining vehicles in the three-fork roadway system. The proposed speed guidance strategy can realize the safe and effective passage of underground mining vehicles to the greatest extent. Taking a three-fork roadway in a coal mine as an actual case, the operation of mining vehicles in the three-fork roadway is optimized and scheduled. Through the joint simulation of PTV VISSIM 4.3 traffic simulation software and PYTHON 3.7, the travel time, number of queuing vehicles, and delay time of mining vehicles passing through the three-fork roadway entrance under the two conditions of no speed and speed guidance in the coal mine are simulated and compared. The results show that after using the proposed speed guidance strategy for scheduling, mining vehicles can quickly pass through the three-fork roadway intersection. The travel time is reduced by 18.4%, the number of queuing vehicles is reduced by 41.5%, and the delay time is reduced by 24.1%, which effectively improves the transportation efficiency of underground mining vehicles.

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“…Song X et al [15] improved the intelligent water drop algorithm via the selection strategy, which improved the heuristics of searching and enhanced the algorithm applicability. Xiaoning Wang et al [16] proposed a method to provide correction speed guidance to reduce the negative effects of bounded rationality.Jianhua L et al [17] integrated an ant colony algorithm and artificial potential field method, which were used for global and local planning, respectively, and the resulting improved algorithm had a higher convergence efficiency. Liu Y et al [18] combined the artificial potential field method and moved the collusion-prone sampling points to the collusion-free region through the compound force field, thus improving the feasibility of the algorithm.…”

Section: Introductionmentioning

confidence: 99%

Research on Automatic Driving Trajectory Planning and Tracking Control Based on Improvement of the Artificial Potential Field Method

Yang

Zhang

et al. 2022

Sustainability

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With the continuous increase in motor vehicle ownership in recent times, traditional transportation has been unable to meet people’s travel needs. Research on autonomous driving technology will help solve a series of problems associated with driving, such as traffic accidents, traffic congestion, energy consumption, and environmental pollution. In this paper, an improved artificial potential field method is proposed to complete the planning of automatic driving trajectories by adding the distance adjustment factor, dynamic road repulsive field, velocity repulsive field, and acceleration repulsive field. The invasive weed algorithm is introduced to solve the defects associated with the traditional artificial potential field method. The prediction model—for which corresponding constraint variables were set and an optimal objective function was established to build up the MPC model controller to achieve the goal of trajectory tracking—was linearized and discretized from a vehicle dynamics model. Finally, co-simulation based on MATLAB and CarSim was used to verify the practicability of the model.

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Effectiveness of driver's bounded rationality and speed guidance on fuel-saving and emissions-reducing at a signalized intersection

Cited by 15 publications

References 40 publications

A Comprehensive Review on Traffic Control Modeling for Obtaining Sustainable Objectives in a Freeway Traffic Environment

A Comprehensive Review on Traffic Control Modeling for Obtaining Sustainable Objectives in a Freeway Traffic Environment

Research on a Speed Guidance Strategy for Mine Vehicles in Three-Fork Roadways Based on Vehicle–Road Coordination

Research on Automatic Driving Trajectory Planning and Tracking Control Based on Improvement of the Artificial Potential Field Method

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