scholarly journals Traffic management strategies for emissions reduction: recent experience in London

2016 ◽  
pp. 27 ◽  
Author(s):  
Sean Beevers ◽  
David Carslaw ◽  
Martin Williams ◽  
David Dajnak ◽  
Gregor Stewart ◽  
...  
Keyword(s):  
Traffic Management ◽  
Management Strategies ◽  
Emissions Reduction ◽  
Recent Experience

Active traffic management strategies for expressways based on crash risk prediction of moving vehicle groups

2021 ◽  
Vol 163 ◽  
pp. 106421
Author(s):  
Wanjing Ma ◽  
Ziliang He ◽  
Ling Wang ◽  
Mohamed Abdel-Aty ◽  
Chunhui Yu
Keyword(s):  
Risk Prediction ◽  
Traffic Management ◽  
Management Strategies ◽  
Crash Risk ◽  
Moving Vehicle

Feasibility Study of Traffic Signals at Intersections in Peshawar, Pakistan

2012 ◽  
Vol 253-255 ◽  
pp. 1645-1649
Author(s):  
Rawid Khan ◽  
Ghulam Dastagir ◽  
Omar Shahid ◽  
Zeeshan Ahmed ◽  
Bashir Alam
Keyword(s):  
Traffic Management ◽  
Management Strategies ◽  
Traffic Signals ◽  
Level Of Service ◽  
Signal Timing ◽  
Traffic Data ◽  
Ongoing Research ◽  
The Road ◽  
Micro Simulation ◽  
Signal Time

The paper is part of an ongoing research project on traffic management strategies for Peshawar Pakistan. Traffic data collected and warrant tests checked at selected intersections. Peak hour vehicular volume warrant test selected and performed at intersections. Signal timing capacity and delay analysis performed and level of service determined for selected intersection. It was found that “for the same width of the road” the delay and level of service is different at different locations and the corresponding signal time is also different. Some data also analysed in 3D micro simulation.

scholarly journals Capacity Analysis for Approach Channels Shared by LNG Carriers

2020 ◽  
Vol 8 (9) ◽  
pp. 697
Author(s):  
Xiang Gao ◽  
Linying Chen ◽  
Pengfei Chen ◽  
Yu Luo ◽  
Junmin Mou
Keyword(s):  
Traffic Management ◽  
Time Windows ◽  
Management Strategies ◽  
Capacity Analysis ◽  
Behavioral Characteristics ◽  
Traffic Capacity ◽  
Approach Channel ◽  
General Cargo ◽  
The Impact

The transport of liquefied natural gas (LNG) has significant impact on traffic capacity of waterways, especially the approach channels shared by LNG carriers and other types of ships (general cargo ships, container ships, etc.). Few studies take the behavioral characteristics of LNG carriers and their impacts into consideration. In this paper, we propose a framework for capacity analysis of shared approach channels based on the spatial–temporal consumption method. It consists of three modules: (1) the tide module predicts the tidal height and tidal time for identifying the time windows for LNG carriers; (2) the spatial–temporal consumption module is introduced to calculate the capacity of approach channels; (3) the LNG carrier navigation module is for analyzing the characteristics of LNG carriers and the impact on the capacity of approach channels. A spatial–temporal indexed chart is designed to visualize the utilization of the spatial–temporal resources. A case study on the approach channel of Yueqing Bay near the east coast of China is conducted to verify the effectiveness of the framework. The utilization rates of the approach channel and the impact of LNG carriers are presented using our method. The results of the case study indicate that the proposed traffic capacity analyzing framework can provide support for making traffic management strategies.

scholarly journals Integrating in situ Measurements and City Scale Modelling to Assess the COVID–19 Lockdown Effects on Emissions and Air Quality in Athens, Greece

Atmosphere ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1174 ◽  
Author(s):  
Georgios Grivas ◽  
Eleni Athanasopoulou ◽  
Anastasia Kakouri ◽  
Jennifer Bailey ◽  
Eleni Liakakou ◽  
...  
Keyword(s):  
Air Quality ◽  
Atmospheric Chemistry ◽  
Traffic Management ◽  
Management Strategies ◽  
Road Transport ◽  
Scale Model ◽  
Ambient Exposure ◽  
Mean Concentration ◽  
Reduced Emissions

The lockdown measures implemented worldwide to slow the spread of the COVID–19 pandemic have allowed for a unique real-world experiment, regarding the impacts of drastic emission cutbacks on urban air quality. In this study we assess the effects of a 7-week (23 March–10 May 2020) lockdown in the Greater Area of Athens, coupling in situ observations with estimations from a meteorology-atmospheric chemistry model. Measurements in central Athens during the lockdown were compared with levels during the pre- and post-lockdown 3-week periods and with respective levels in the four previous years. We examined regulatory pollutants as well as CO2, black carbon (BC) and source-specific BC components. Models were run for pre-lockdown and lockdown periods, under baseline and reduced-emissions scenarios. The in-situ results indicate mean concentration reductions of 30–35% for traffic-related pollutants in Athens (NO2, CO, BC from fossil fuel combustion), compared to the pre-lockdown period. A large reduction (53%) was observed also for the urban CO2 enhancement while the reduction for PM2.5 was subtler (18%). Significant reductions were also observed when comparing the 2020 lockdown period with past years. However, levels rebounded immediately following the lift of the general lockdown. The decrease in measured NO2 concentrations was reproduced by the implementation of the city scale model, under a realistic reduced-emissions scenario for the lockdown period, anchored at a 46% decline of road transport activity. The model permitted the assessment of air quality improvements on a spatial scale, indicating that NO2 mean concentration reductions in areas of the Athens basin reached up to 50%. The findings suggest a potential for local traffic management strategies to reduce ambient exposure and to minimize exceedances of air quality standards for primary pollutants.

Effectiveness of Predictive Weather-Related Active Transportation and Demand Management Strategies for Network Management

2017 ◽  
Vol 2667 (1) ◽  
pp. 71-87 ◽  
Author(s):  
Zihan Hong ◽  
Hani S. Mahmassani ◽  
Xiang Xu ◽  
Archak Mittal ◽  
Ying Chen ◽  
...  
Keyword(s):  
Traffic Management ◽  
Demand Management ◽  
Management Strategies ◽  
Weather Conditions ◽  
Active Transportation ◽  
Operational Conditions ◽  
Traffic Conditions ◽  
Adverse Weather ◽  
Traffic Performance ◽  
The Impact

This paper presents the development, implementation, and evaluation of predictive active transportation and demand management (ATDM) and weather-responsive traffic management (WRTM) strategies to support operations for weather-affected traffic conditions with traffic estimation and prediction system models. First, the problem is defined as a dynamic process of traffic system evolution under the impact of operational conditions and management strategies (interventions). A list of research questions to be addressed is provided. Second, a systematic framework for implementing and evaluating predictive weather-related ATDM strategies is illustrated. The framework consists of an offline model that simulates and evaluates the traffic operations and an online model that predicts traffic conditions and transits information to the offline model to generate or adjust traffic management strategies. Next, the detailed description and the logic design of ATDM and WRTM strategies to be evaluated are proposed. To determine effectiveness, the selection of strategy combination and sensitivity of operational features are assessed with a series of experiments implemented with a locally calibrated network in the Chicago, Illinois, area. The analysis results confirm the models’ ability to replicate observed traffic patterns and to evaluate the system performance across operational conditions. The results confirm the effectiveness of the predictive strategies tested in managing and improving traffic performance under adverse weather conditions. The results also verify that, with the appropriate operational settings and synergistic combination of strategies, weather-related ATDM strategies can generate maximal effectiveness to improve traffic performance.

scholarly journals How to assess the benefits of connected vehicles? A simulation framework for the design of cooperative traffic management strategies

2016 ◽  
Vol 67 ◽  
pp. 266-279 ◽  
Author(s):  
Maxime Guériau ◽  
Romain Billot ◽  
Nour-Eddin El Faouzi ◽  
Julien Monteil ◽  
Frédéric Armetta ◽  
...  
Keyword(s):  
Traffic Management ◽  
Management Strategies ◽  
Connected Vehicles ◽  
Simulation Framework
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