scholarly journals Assessing the impact of converting roundabouts to traffic signals on vehicle emissions along an urban arterial corridor in Qatar

2018 ◽  
Vol 69 (2) ◽  
pp. 178-191 ◽  
Author(s):  
Khaled Shaaban ◽  
Hatem Abou-Senna ◽  
Dina Elnashar ◽  
Essam Radwan
Author(s):  
Celina Semaan ◽  
Steven Chien ◽  
Ching-Jung Ting

The increasing traffic demand has reduced the efficiency of road networks and intensified the maintenance need for mobility and safety, increasing vehicle emissions, reducing air quality, and affecting climate change. To mitigate the negative impacts of work zone activities, a reliable method that can optimize spatio-temporal work zone activities is desirable. Previous studies have aimed to minimize the total cost, including maintenance, user delay, and accident costs, yet the associated environmental impact has been neglected. This study aims to optimize work zone activities using the artificial bee colony (ABC) algorithm, considering the cost of vehicle emissions in addition to the aforementioned costs for an environmentally sustainable optimization. MOtor Vehicle Emission Simulator (MOVES) is applied to calculate emission rates. The results show that the ABC algorithm is very efficient to search for the optimal solution that yields the minimum cost taking into account the well-being of the environment.


2011 ◽  
Vol 16 (7) ◽  
pp. 504-508 ◽  
Author(s):  
Madhava Madireddy ◽  
Bert De Coensel ◽  
Arnaud Can ◽  
Bart Degraeuwe ◽  
Bart Beusen ◽  
...  

Author(s):  
Margarida C. Coelho ◽  
Tiago L. Farias ◽  
Nagui M. Rouphail

At conventional pay tolls, vehicles joining a queue must come to a stop and undergo several stop-and-go cycles until payment is completed. As a result, emissions increase because of excessive delays, queuing, and speed change cycles for approaching traffic. The main objective of this research is to quantify traffic and emission impacts of toll facilities in urban corridors. As a result of experimental measurements of traffic and emissions, the impact of traffic and emission performance of conventional and electronic toll facilities is presented. The approach attempts to explain the interaction between toll system operational variables (traffic demand, service time, and service type) and system performance variables (stops, queue length, and emissions). The experimental data for validating the numerical traffic model were gathered on pay tolls located in three main corridors that access the city of Lisbon, Portugal. The emissions model is based on real-world onboard measurements of vehicle emissions. With the appropriate speed profiles of vehicles in pay tolls, onboard emission measurements were carried out to quantify the relationships between vehicle dynamics and emissions. The main conclusion of this work is that there are two different types of stop-and-go driving cycles for vehicles joining the queue at a conventional toll booth: short and long. The length of each cycle depends on the expected queue length at the toll booth and the frequency of each cycle directly affects the level of vehicle emissions. The greatest percentage of emissions for a vehicle that stops at a pay toll is due to its final acceleration back to cruise speed after leaving the pay toll.


2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Zhen Yang ◽  
Wei Wang ◽  
Shuyan Chen ◽  
Haoyang Ding ◽  
Xiaowei Li

Bus travel time on road section is defined and analyzed with the effect of multiple bus lines. An analytical model is formulated to calculate the total red time a bus encounters when travelling along the arterial. Genetic algorithm is used to optimize the offset scheme of traffic signals to minimize the total red time that all bus lines encounter in two directions of the arterial. The model and algorithm are applied to the major part ofZhongshan NorthStreet in the city of Nanjing. The results show that the methods in this paper can reduce total red time of all the bus lines by 31.9% on the object arterial and thus improve the traffic efficiency of the whole arterial and promote public transport priority.


2020 ◽  
Vol 193 ◽  
pp. 02018
Author(s):  
Evelina Ibragimova ◽  
Olga Manankova

The article presents the results of a study of the impact of vehicle emissions on populations of Aesculus hippocastanum L. growing along roads with different traffic intensities. It was found that in areas of heavy vehicle traffic there is an increased level of abortive pollen production. Plant populations increasing the formation of damaged gametes with increasing anthropogenic load on phytocoenoses can be used for phytoindication of the environmental pollution degree. In areas with heavy traffic, pollutants have an average toxic effect on the gametogenesis of Aesculus hippocastanum L. The quality and degree of damage to the pollen zone formed by plants can serve as a bio-test of the mutagenic effect of environmental factors that have a modifying effect on male gametophyte of higher plants.


Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2448 ◽  
Author(s):  
Amin Ghafouri ◽  
Aron Laszka ◽  
Koutsoukos

Detection errors such as false alarms and undetected faults are inevitable in any practical anomaly detection system. These errors can create potentially significant problems in the underlying application. In particular, false alarms can result in performing unnecessary recovery actions while missed detections can result in failing to perform recovery which can lead to severe consequences. In this paper, we present an approach for application-aware anomaly detection (AAAD). Our approach takes an existing anomaly detector and configures it to minimize the impact of detection errors. The configuration of the detectors is chosen so that application performance in the presence of detection errors is as close as possible to the performance that could have been obtained if there were no detection errors. We evaluate our result using a case study of real-time control of traffic signals, and show that the approach outperforms significantly several baseline detectors.


Author(s):  
Chaoyi Gu ◽  
Reza Farzaneh ◽  
Geza Pesti ◽  
Gabriel Valdez ◽  
Andrew Birt

Shifting work zones from daytime to nighttime is a potential solution to air quality issues on roadway with high traffic volume and where it is undesirable to close lanes during peak hours. The expected benefit of such shifting is to reduce total fuel consumption and on-road vehicle emissions. However, the magnitude of emission reductions and air quality impacts has not been examined comprehensively at work zones. The study presented in this paper investigated the traffic-related emission impacts of work zones using an urban freeway case study. A VISSIM test bed combined with the Environmental Protection Agency’s MOVES emission model was used to estimate total emissions assuming daytime and nighttime lane-closure scenarios. Vehicle emissions were estimated using a link-based method and operating mode-based method. The results from both methods demonstrated that nighttime construction has a significant impact on both traffic speeds and vehicle emissions, primarily as a result of reductions in vehicle miles traveled. In addition, a horizontal comparison between the results from the two methods was made to assess the impact of different emission estimation approaches. The outcomes from the comparison highlight the potential importance of the operating mode-based approach for accurately estimate total traffic emission quantities when data or simulations are available.


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