scholarly journals Traffic Congestion Mitigation as an Emissions Reduction Strategy

2000 ◽  
Author(s):  
Alexander Bigazzi
2019 ◽  
Vol 11 (1) ◽  
pp. 258 ◽  
Author(s):  
Xijie Li ◽  
Ying Lv ◽  
Wei Sun ◽  
Li Zhou

This study focuses on an environment-friendly toll design problem, where an acceptable road network performance is promised. First, a Traffic Performance Index (TPI)-based evaluation method is developed to help identify the optimal congestion level and the management target of a transportation system. Second, environment-oriented cordon- and link-based road toll design models are respectively proposed through the use of bi-level programming. Both upper-level submodel objectives are to minimize gross revenue (the total collected toll minus the emissions treatment cost) under different pricing strategies. Both lower-level submodels quantify the user equilibrium (UE) condition under elastic demand. Moreover, the TPI-related constraints for the management requirements of the network performance are incorporated into the bi-level programming modeling framework, which can lead to 0–1 mixed integer bi-level nonlinear programming for toll design problems. Accordingly, a genetic algorithm-based heuristic searching method is proposed for the two pricing models. The proposed cordon- and link-based pricing models were then applied to a real-world road network in Beijing, China. The effects of the toll schemes generated from the two models were compared in terms of emissions reduction and congestion mitigation. In this study, it was indicated that a higher total collected toll may lead to more emissions and related treatment costs. Tradeoffs existed between the toll scheme, emissions reduction, and congestion mitigation.


2011 ◽  
Vol 34 (7) ◽  
pp. 637-645 ◽  
Author(s):  
K. Triantis ◽  
S. Sarangi ◽  
D. Teodorović ◽  
L. Razzolini

Author(s):  
Khushbu Sajid

This experimental study uses national regulations and survey reports to identify short, medium, and long-term traffic congestion strategies in Haryana's cities. The current study looked into a variety of successful road congestion mitigation techniques, ranging from expanded road capacity to the use of roadways, to see which ones were the most cost-effective. Using an examination of quantitative regression, interviews with transportation policy and decision makers, and alternate matrix criteria, I ranked each traffic congestion mitigation approach from least to most cost efficient based on three cost factors. I discovered that ramp measuring was both the most cost-effective and the most difficult method. Meanwhile, I discovered that expanding transit capacity was the least cost-effective of the solutions I looked into.


2018 ◽  
Vol 9 (1) ◽  
pp. 49-59 ◽  
Author(s):  
Shinnnosuke Nakamura ◽  
Takumi Uemura ◽  
Gou Koutaki ◽  
Keiichi Uchimura

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