Arterial Offset Optimization Considering the Delay and Emission of Platoon: A Case Study in Beijing

Ding, Shenzhen; Chen, Xumei; Yu, Lei; Wang, Xu

doi:10.3390/su11143882

Cited by 8 publications

(8 citation statements)

References 23 publications

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“…The exception is the minimization of fuel consumption which minimizes CO 2 because of their linear correlation. This finding does not support the claims of previous studies [9,14,46,69,70] that reported a reduction of an equal magnitude for all the emissions using the same objective function. Second, various operating conditions have a significant impact on the stop penalty.…”

Section: Discussioncontrasting

confidence: 99%

Impact of Various Operating Conditions on Simulated Emissions-Based Stop Penalty at Signalized Intersections

2021

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Sustainability has become one of the most important goals when optimizing traffic signals. This goal is achieved through utilizing various objective functions to reduce sustainability metrics (e.g., fuel consumption and emissions). However, most available objective functions do not distinguish between the reduction mechanism of various types of emissions. Further, such functions do not consider the compound impact of multiple operational conditions (e.g., road gradient) influencing emissions on the optimized signal plans. This study derives a new Environmental Performance Index representing a surrogate measure for emission estimates that can be used as an objective function in signal timings optimization to reduce emissions under various operational conditions. The Environmental Performance Index is a linear combination of delays and stops. The key factor of the Environmental Performance Index is the emissions-based stop penalty, which represents an emission stop equivalency measured in seconds of delay. This study also uses traffic simulation and emission models to investigate the compound impact of several operational conditions on the stop penalty. Results show that the stop penalty varies significantly with all the investigated conditions and that the stop penalty is unique for different types of emissions. These findings may have significant implications on the current practice of sustainable signal timing optimization.

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Section: Discussioncontrasting

confidence: 99%

Impact of Various Operating Conditions on Simulated Emissions-Based Stop Penalty at Signalized Intersections

2021

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“…The effectiveness of the proposed algorithm was demonstrated by comparing it with other state-of-the-art algorithms. Ding et al established a bi-objective model for optimization, with the primary objective of reducing platoon delays and reducing harmful emissions along urban arterial roads [42]. Hajbabaie et al developed a bi-level optimization framework for simultaneous signal timing optimization and traffic distribution in urban transport networks, taking into account over-saturated scenarios and various driver behaviors [70].…”

Section: Related Workmentioning

confidence: 99%

“…The study results indicated that the proposed method reduced fuel consumption in the range of 8%-20%, and vehicular emissions by over 20%. In another study, Deng et al suggested microscopic traffic simulation-based bi-objective arterial offset optimization, considering delay and emissions for vehicles platoon [42]. It was noted that delays and emissions were improved by 20% and 7%, respectively.…”

Section: Related Workmentioning

confidence: 99%

“…It is reported that the vehicle's fuel consumptions and emissions are usually higher near intersections compared to other street segments. Fuel consumption is affected by several factors, such as vehicle speed, vehicle type, vehicle age, acceleration or deceleration, delay, number of stops made, road gradient, traffic, and weather conditions [41][42][43]. Fuel economy is critical because of both environmental and energy conservation concerns.…”

Section: Introductionmentioning

confidence: 99%

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On the Potential Impacts of Smart Traffic Control for Delay, Fuel Energy Consumption, and Emissions: An NSGA-II-Based Optimization Case Study from Dhahran, Saudi Arabia

et al. 2020

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Intelligent traffic control at urban intersections is vital to ensure efficient and sustainable traffic operations. Urban road intersections are hotspots of congestion and traffic accidents. Poor traffic management at these locations could cause numerous issues, such as longer travel time, low travel speed, long vehicle queues, delays, increased fuel consumption, and environmental emissions, and so forth. Previous studies have shown that the mentioned traffic performance measures or measures of effectiveness (MOEs) could be significantly improved by adopting intelligent traffic control protocols. The majority of studies in this regard have focused on mono or bi-objective optimization with homogenous and lane-based traffic conditions. However, decision-makers often have to deal with multiple conflicting objectives to find an optimal solution under heterogeneous stochastic traffic conditions. Therefore, it is essential to determine the optimum decision plan that offers the least conflict among several objectives. Hence, the current study aimed to develop a multi-objective intelligent traffic control protocol based on the non-dominated sorting genetic algorithm II (NSGA-II) at isolated signalized intersections in the city of Dhahran, Kingdom of Saudi Arabia. The MOEs (optimization objectives) that were considered included average vehicle delay, the total number of vehicle stops, average fuel consumption, and vehicular emissions. NSGA-II simulations were run with different initial populations. The study results showed that the proposed method was effective in optimizing considered performance measures along the optimal Pareto front. MOEs were improved in the range of 16% to 23% compared to existing conditions. To assess the efficacy of the proposed approach, an optimization analysis was performed using a Synchro traffic light simulation and optimization tool. Although the Synchro optimization resulted in a relatively lower signal timing plan than NSGA-II, the proposed algorithm outperformed the Synchro optimization results in terms of percentage reduction in MOE values.

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“…Signal coordination plays an important role in today's urban traffic control systems. It has been widely used to facilitate progressive movements along streets to reduce stops, delays, and fuel consumption [1]. For signal coordination in a largescale urban street network, it is essential to partition the network into several subareas to achieve better flexibility and efficiency.…”

Section: Introductionmentioning

confidence: 99%

Impact of the Link Length on the Delay in Two-Way Signal Coordination

Cui

Wang

2021

IEEE Access

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Signal coordination plays an important role in urban traffic control systems. Studying the influence of some factors such as the link length on the potential benefits of signal coordination can help achieve more efficient traffic control. Researchers have observed a highly fluctuating or damped sine-wave type relationship between the link length and the delay in two-way coordinated control, but a clear explanation of this relationship is still lacking. The scope of this paper is to present a thorough analysis of the mechanism by which link length affects the delay in two-way coordination. The impact of the link length involves two aspects. We first derived formulas for the delay using shockwave queuing profiles that included the impact of the offsets in the two directions. We then conducted numerical experiments employing Robertson's platoon dispersion model to incorporate the impact of platoon dispersion. By comparing the results from the derived formulas and the numerical experiments, we concluded that the periodicity is due to the mutual relation between the offsets in the two directions, whereas the attenuation is due to platoon dispersion. The findings should provide valuable insights for developing a more reasonable correlation degree model for the coordination of adjacent intersections. In addition, we found that platoon dispersion has a negligible influence on the critical link lengths at which the delay cannot be reduced by signal coordination. This means that if platoon dispersion is not considered, it will not affect the choice between the simultaneous and the alternative progressions to minimize the delay under a given link length, which is very meaningful in practical work.INDEX TERMS Control delay, link length, offset, platoon dispersion, two-way coordination.

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Arterial Offset Optimization Considering the Delay and Emission of Platoon: A Case Study in Beijing

Cited by 8 publications

References 23 publications

Impact of Various Operating Conditions on Simulated Emissions-Based Stop Penalty at Signalized Intersections

Impact of Various Operating Conditions on Simulated Emissions-Based Stop Penalty at Signalized Intersections

On the Potential Impacts of Smart Traffic Control for Delay, Fuel Energy Consumption, and Emissions: An NSGA-II-Based Optimization Case Study from Dhahran, Saudi Arabia

Impact of the Link Length on the Delay in Two-Way Signal Coordination

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