Study to Compare CO2 Emissions from M1 Bharat Stage VI Passenger Vehicles at Chassis Dynamometer and Indian Real Traffic Conditions

2021 ◽  
Author(s):  
KIRAN THAKARE ◽  
ABHAY SINGH ◽  
OBAID ASHRAF Shah ◽  
REVANTH KUMAR bathina ◽  
ASHISH KULKARNI
Keyword(s):  
Co2 Emissions ◽  
Chassis Dynamometer ◽  
Traffic Conditions ◽  
Passenger Vehicles ◽  
Real Traffic

scholarly journals The application of the CO2MPAS model for vehicle CO2 emissions estimation over real traffic conditions

2020 ◽  
Author(s):  
Caterina Mogno ◽  
Georgios Fontaras ◽  
Vincenzo Arcidiacono ◽  
Dimitrios Komnos ◽  
Jelica Pavlovic ◽  
...  
Keyword(s):  
Co2 Emissions ◽  
Traffic Conditions ◽  
Real Traffic

scholarly journals THE PARAMETERS OF PASSENGER CARS ENGINE IN TERMS OF REAL DRIVE EMISSION TEST

2014 ◽  
Vol 32 (4) ◽  
pp. 43-50 ◽  
Author(s):  
Jerzy Merkisz ◽  
Marianna Jacyna ◽  
Agnieszka Merkisz-Guranowska ◽  
Jacek Pielecha
Keyword(s):  
Environmental Performance ◽  
Gasoline Engine ◽  
Operating Conditions ◽  
Passenger Cars ◽  
Limit Values ◽  
Traffic Conditions ◽  
Passenger Vehicles ◽  
Certification Tests ◽  
Emission Limit ◽  
Real Traffic

This paper presents the preliminary concept research to develop the test used in the measurement of emissions in real traffic conditions for passenger vehicles. Work based on the lack of legal solutions for determining the environmental performance of light vehicles – as opposed to heavy-duty vehicles for which such regulations have specified. The elaboration is to compare the emission test used in clinical approval of passenger cars, while the synthesis of the results obtained under different conditions road tests. The intention is to develop a test for assessing the ecological vehicle in real traffic conditions, where restrictions will only drive type (gasoline engine, diesel engine, hybrid vehicle), which is consistent with the requirements of the certification tests. The result should be the foundation for the development of the test in terms of: the duration, to determine the operating conditions and vehicle and proposals for emission limit values.

scholarly journals Evaluation of the Effect of Chassis Dynamometer Load Setting on CO2 Emissions and Energy Demand of a Full Hybrid Vehicle

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 122
Author(s):  
Artur Jaworski ◽  
Maksymilian Mądziel ◽  
Krzysztof Lew ◽  
Tiziana Campisi ◽  
Paweł Woś ◽  
...  
Keyword(s):  
Co2 Emissions ◽  
Energy Demand ◽  
Hybrid Vehicles ◽  
Urban Traffic ◽  
Transport Sector ◽  
Chassis Dynamometer ◽  
Traffic Conditions ◽  
Resistance Function ◽  
Motion Resistance ◽  
Load Function

Among the solutions that make it possible to reduce CO2 emissions in the transport sector, particularly in urban traffic conditions, are hybrid vehicles. The share of driving performed in electric mode for hybrid vehicles is highly dependent on motion resistance. There are different methods for determining the motion resistance function during chassis dynamometer testing, leading to different test results. Therefore, the main objective of this study was to determine the effect of the chassis dynamometer load function on the energy demand and CO2 emissions of a full-hybrid passenger car. Emissions tests according to the New European Driving Cycle (NEDC) were carried out on a chassis dynamometer for three different methods of determining the car’s resistance to motion. The study showed that adopting the motion resistance function according to different methods, results in differences in CO2 emissions up to about 35% for the entire cycle. Therefore, the authors suggest that in the case of tests carried out with chassis dynamometers, it is necessary to also provide information on the chassis dynamometer loading function adopted for the tests.

Cooperative Control for Ground Traffic at Airports

2010 ◽  
pp. 57-70
Author(s):  
Felipe Maia Galvão França ◽  
Félix Mora-Camino
Keyword(s):  
Cooperative Control ◽  
Control Structure ◽  
Air Transportation ◽  
Critical Issue ◽  
Potential Danger ◽  
Global Control ◽  
Traffic Conditions ◽  
Passenger Vehicles ◽  
Operational Costs ◽  
Traffic Delays

With the sustained increase in air transportation, resulting in increased operational costs, potential danger with conflictive traffic conditions and delays for passengers and airlines, ground traffic has become a critical issue for many airports. In this communication the ground traffic at an airport is considered to be composed of three dependent flows: aircraft, passenger vehicles and servicing vehicles. It is assumed in this study that each type of vehicles belongs to a common pool which attends every arriving or departing aircraft. The objective here is to propose a global control structure based on cooperation between the different agents responsible for the management of each fleet to reduce overall aircraft traffic delays at airside.

scholarly journals Simultaneous Localization and Map Change Update for the High Definition Map-Based Autonomous Driving Car

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3145 ◽  
Author(s):  
Kichun Jo ◽  
Chansoo Kim ◽  
Myoungho Sunwoo
Keyword(s):  
Evidence Theory ◽  
Autonomous Driving ◽  
High Definition ◽  
Driving System ◽  
The Real ◽  
Traffic Conditions ◽  
Autonomous Cars ◽  
Vehicle Position ◽  
Autonomous Driving System ◽  
Real Traffic

High Definition (HD) maps are becoming key elements of the autonomous driving because they can provide information about the surrounding environment of the autonomous car without being affected by the real-time perception limit. To provide the most recent environmental information to the autonomous driving system, the HD map must maintain up-to-date data by updating changes in the real world. This paper presents a simultaneous localization and map change update (SLAMCU) algorithm to detect and update the HD map changes. A Dempster–Shafer evidence theory is applied to infer the HD map changes based on the evaluation of the HD map feature existence. A Rao–Blackwellized particle filter (RBPF) approach is used to concurrently estimate the vehicle position and update the new map state. The detected and updated map changes by the SLAMCU are reported to the HD map database in order to reflect the changes to the HD map and share the changing information with the other autonomous cars. The SLAMCU was evaluated through experiments using the HD map of traffic signs in the real traffic conditions.

scholarly journals Comparing Speed Estimations from a Moving Vehicle in Different Traffic Scenarios: Absence versus Presence of Traffic Flow

2006 ◽  
Vol 9 (1) ◽  
pp. 32-37 ◽  
Author(s):  
Ángela Conchillo ◽  
Miguel Ángel Recarte ◽  
Luis Nunes ◽  
Trinidad Ruiz
Keyword(s):  
Traffic Flow ◽  
Experimental Studies ◽  
Speed Estimation ◽  
Estimation Task ◽  
Driving Experience ◽  
Moving Vehicle ◽  
Traffic Conditions ◽  
Traffic Environment ◽  
Subject Variables ◽  
Real Traffic

The aim of this research was to study the performance in a speed estimation task of a passenger travelling in a real car in different scenarios: a closed track used in previous experimental studies was compared with interurban traffic environment involving a secondary road and a highway. At the same time, the effect of sex and driving experience on speed estimation was analyzed. Thirty-six participants (18 male and 18 female, half of each group being drivers and half non-drivers) estimated the speed of the car in which they travelled as passengers. The actual speed values varied in the range of 40-100 km/h for the secondary road, 70-120 km/h for the highway condition, and 40-120 km/h for the track. The results obtained for the track in previous studies (Recarte & Nunes, 1996; Recarte, Conchillo, & Nunes, 2004, 2005) were replicated in the same condition and were also verified for the secondary road scenario. However, a different pattern of errors was found for the highway. From the viewpoint of psychophysics, the participants were more accurate on the without-traffic track than in real traffic conditions, considered as a whole. The differences found between road and highway are discussed. No effect was found for between- subject variables, sex, and driving experience.

Analysis of Preference for Autonomous Driving Under Different Traffic Conditions Using a Driving Simulator

2015 ◽  
Vol 27 (6) ◽  
pp. 660-670 ◽  
Author(s):  
Udara Eshan Manawadu ◽  
◽  
Masaaki Ishikawa ◽  
Mitsuhiro Kamezaki ◽  
Shigeki Sugano ◽  
...  
Keyword(s):  
Autonomous Vehicles ◽  
Driving Simulator ◽  
Autonomous Driving ◽  
Driving Experience ◽  
The Road ◽  
Traffic Conditions ◽  
Passenger Vehicles ◽  
New Type ◽  
On The Road ◽  
Near Future

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270006/08.jpg"" width=""300"" /> Driving simulator</div>Intelligent passenger vehicles with autonomous capabilities will be commonplace on our roads in the near future. These vehicles will reshape the existing relationship between the driver and vehicle. Therefore, to create a new type of rewarding relationship, it is important to analyze when drivers prefer autonomous vehicles to manually-driven (conventional) vehicles. This paper documents a driving simulator-based study conducted to identify the preferences and individual driving experiences of novice and experienced drivers of autonomous and conventional vehicles under different traffic and road conditions. We first developed a simplified driving simulator that could connect to different driver-vehicle interfaces (DVI). We then created virtual environments consisting of scenarios and events that drivers encounter in real-world driving, and we implemented fully autonomous driving. We then conducted experiments to clarify how the autonomous driving experience differed for the two groups. The results showed that experienced drivers opt for conventional driving overall, mainly due to the flexibility and driving pleasure it offers, while novices tend to prefer autonomous driving due to its inherent ease and safety. A further analysis indicated that drivers preferred to use both autonomous and conventional driving methods interchangeably, depending on the road and traffic conditions.

THE PRECISE MEASUREMENT OF CAR VELOCITY

Transport ◽  
2012 ◽  
Vol 27 (2) ◽  
pp. 138-142 ◽  
Author(s):  
Julius Barzdžiukas ◽  
Stasys Vygantas Augutis ◽  
Rimvydas Povilas Žilinskas
Keyword(s):  
Experimental Data ◽  
Precise Measurement ◽  
Optical Measurements ◽  
Velocity Measurements ◽  
Testing Area ◽  
Traffic Conditions ◽  
Wide Range ◽  
Reference Distance ◽  
Real Traffic ◽  
Stationary Velocity

The system for precise measurement of car velocity is using lasers and reference distance fixed on the car. Primary application for this system is verification and calibration of stationary velocity meters without the need for disassembling or transporting them to testing area. Velocity measurements can be performed under the real traffic conditions. Principle of operation, calibration of the measurement system and uncertainties are provided. Some solutions used in this system operate in a wide range of possible environmental conditions. Additionally, ABS sensors were used for dynamic car velocity evaluation. Possibilities of this system, when used in combination with optical measurements, are provided. Experimental data demonstrates ABS sensor applicability in measurements with different road types, tire pressures and temperatures.

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