scholarly journals Evaluation of emissions in traffic reduction and pedestrianization scenarios in Madrid

2021 ◽  
Vol 100 ◽  
pp. 103064
Author(s):  
José Manuel Sánchez ◽  
Emilio Ortega ◽  
María Eugenia López-Lambas ◽  
Belén Martín
Keyword(s):  
Traffic Reduction

Changes of the aerosol in a street canyon induced by traffic reduction

2004 ◽  
Vol 35 ◽  
pp. 385-396 ◽  
Author(s):  
Th. M. Tuch ◽  
U. Franck ◽  
J. Voigtländer ◽  
A. Wiedensohler
Keyword(s):  
Street Canyon ◽  
Traffic Reduction

scholarly journals Smarter Choices: Assessing the Potential to Achieve Traffic Reduction Using ‘Soft Measures’

2008 ◽  
Vol 28 (5) ◽  
pp. 593-618 ◽  
Author(s):  
S. Cairns ◽  
L. Sloman ◽  
C. Newson ◽  
J. Anable ◽  
A. Kirkbride ◽  
...  
Keyword(s):  
Traffic Reduction

scholarly journals Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central

Smart Cities ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 456-478 ◽  
Author(s):  
Irene Lebrusán ◽  
Jamal Toutouh
Keyword(s):  
Smart City ◽  
Road Traffic ◽  
Positive Impact ◽  
Noise Levels ◽  
Pm 2.5 ◽  
Population Concentration ◽  
Traffic Reduction ◽  
Definition Of ◽  
Pm 10 ◽  
The City

Population concentration in cities brings new risks as an increase in pollution, which causes urban health problems. In order to address this problem, traffic reduction measures are being implemented as pedestrianization areas; they are the definition of Low Emissions Zones (LEZs). When the effectiveness of these types of measures is in doubt, smart city tools provide data that can be used to scientifically asses their impact. This article analyzes the situation of Madrid Central (Spain), a LEZ subject to controversy. We apply statistical and regression analyses to evaluate the effectiveness of this measure to reduce air pollution and outdoor noise. According to the results, this LEZ was able to significantly reduce NO 2 , PM 2.5 , and PM 10 concentration locally, having the same positive impact in the rest of the city. In terms of noise, this measure was able to mitigate background noise levels generated by road traffic.

scholarly journals “Not Just a Taxi”? For-Profit Ridesharing, Driver Strategies, and VMT

2018 ◽  
Author(s):  
Donald N. Anderson
Keyword(s):  
San Francisco ◽  
Ecological Impacts ◽  
Full Time ◽  
Location Services ◽  
For Profit ◽  
Ethnographic Interviews ◽  
Traffic Reduction ◽  
Taxi Service ◽  
Part Time ◽  
Demand Service

The spread of GPS-based location services using smartphone applications has led to therapid growth of new startups offering smartphone-enabled dispatch service for taxicabs, limousines,and ridesharing vehicles. This change in communicative technology has been accompanied by thecreation of new categories of car service, particularly as drivers of limousines and private vehicles usethe apps to provide on-demand service of a kind previously reserved for taxicabs. One of the mostcontroversial new models of car service is for-profit ridesharing, which combines the for-profit modelof taxi service with the overall traffic reduction goals of ridesharing. A preliminary attempt is heremade at understanding how for-profit ridesharing compares to traditional taxicab and ridesharingmodels. Ethnographic interviews are drawn on to illustrate the range of motivations and strategies usedby for-profit ridesharing drivers in San Francisco, California as they make use of the service. A rangeof driver strategies is identified, ranging from incidental, to part-time, to full-time driving. This makespossible a provisional account of the potential ecological impacts of the spread of this model of carservice, based on the concept of taxicab efficiency, conceived as the ratio of shared vs. unshared milesdriven.

Dynamic Allocation of Traffic Light Plans as a Traffic Reduction Strategy

2018 ◽  
Author(s):  
M.L. Suarez ◽  
L. Esperanza Alvarez ◽  
P.A. Camacho ◽  
L.C. Marin ◽  
B. Vasquez ◽  
...  
Keyword(s):  
Dynamic Allocation ◽  
Traffic Light ◽  
Reduction Strategy ◽  
Traffic Reduction

scholarly journals A Reconfigurable IoT Architecture with Energy Efficient Event-Based Data Traffic Reduction Scheme

2017 ◽  
Vol 13 (02) ◽  
pp. 34 ◽  
Author(s):  
Varun Tiwari ◽  
Avinash Keskar ◽  
NC Shivaprakash
Keyword(s):  
Network Traffic ◽  
Energy Efficient ◽  
Data Transfer ◽  
Large Network ◽  
Data Traffic ◽  
Transfer Scheme ◽  
Data Packets ◽  
Traffic Reduction ◽  
Low Probability ◽  
Event Based

Designing an Internet of Things (IoT) enabled environment requires integration of various things/devices. Integrating these devices require a generalized approach as these devices can have different communication protocols. In this paper, we have proposed generalized nodes for connecting various devices. These nodes are capable of creating a scalable local wireless network that connects to the cloud through a network gateway. The nodes also support over the air programming to re-configure the network from the cloud. As number of devices connected to the cloud increases, the network traffic also increases. In order to reduce the network traffic we have used different data transfer schemes for the network. We have also proposed an event-based data transfer scheme for situations where there is low probability of change in sensor value. The experimental results shows that the event-based scheme reduces the data traffic by up to 48% under practical conditions without any loss of information compared to priority based data transfer. We have also shown that the proposed scheme is more reliable for data transfer in a large network with a success rate of 99.5% measured over 200 minutes for 1201 data packets.

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