Development of real-world driving cycle: Case study of Pune, India

Kamble, Sanghpriya H.; Mathew, Tom V.; Sharma, Gaurav

doi:10.1016/j.trd.2008.11.008

Cited by 205 publications

(101 citation statements)

References 6 publications

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“…Although the model is claimed to be specific to Indian traffic condition, it uses speed dependent emission factor from UK and adjusted for a local traffic conditions. A recent study by Kamble et al (2009) developed a driving cycle for an Indian city which is significantly different from the standard driving cycle characterized by high acceleration and deceleration values. Although such driving cycle is considered to be a better representation of the driving pattern of the city, however, developing emission factors using chassis dynamometer is not feasible because of steep acceleration and deceleration unless the equipment has sophisticated instrumentation.…”

Section: Literature Reviewmentioning

confidence: 99%

Developing Speed Dependent Emission Factors Using on-Board Emission Measuring Equipment in India

Sharma¹,

Mathew²

2016

IJTTE

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Vehicular emission models are important tools in several environmental impact studies. Although several studies have been conducted for emission control purposes, few attempts have been made on the planning side. For instance, long-term transportation network capacity improvement models do not explicitly consider emission in the objective function. Incorporating vehicular emission into the objective function is effective only if speed dependent emission factor is used in the estimation of emission. Although this issue is well addressed in the developed countries, owing to the heterogeneity of vehicles and absence of speed dependent emission factors the benefit from network investment is often underestimated in developing countries like India. Therefore, an attempt is made to explore the possibility of developing speed dependent emission factor for Indian conditions and vehicles. For accurate measurement an onboard test is conducted on typical vehicles; namely, a passenger car, a sports utility vehicle, and a truck. On board test equipment collected the data while the vehicle traversed with different speed ranges. The data obtained is processed and used for developing emission factor in the form of second degree polynomial with speed as the dependent variable. The emission factors for the three types of vehicles and for CO, CO 2 , NO X , and HC are developed. The results have been compared with Indian driving cycle based emission factors as well as UK based speed dependent emission factors for car in particular. The study gave a preliminary insight into the behaviors of pollutants with respect to speed. However, there is a need to develop such factor using large spectrum of vehicles and diverse driving conditions.

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Section: Literature Reviewmentioning

confidence: 99%

Developing Speed Dependent Emission Factors Using on-Board Emission Measuring Equipment in India

Sharma¹,

Mathew²

2016

IJTTE

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“…The selection of the micro-trip and complete driving cycle is based on comparison between the target parameters and also new parameters of the driving cycle. Meanwhile, the driving cycle construction based on speed-acceleration frequency is grouping the micro-trips based on their speedacceleration parameters as presented in [10]. The micro-trips in the respective group are than selected to from the driving cycle based target parameter.…”

Section: Introductionmentioning

confidence: 99%

Characterisation and development of driving cycle for work route in Kuala Terengganu

Anida¹,

Ismail²,

Norbakyah³

et al. 2022

Int. J. Automot. Mech. Eng.

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Driving cycle is essential for researchers and also vehicle developers to study the performance of the vehicle mainly via simulations. However, the driving cycles are not the same for different countries or cities, although they may seem identical. In this paper, several driving cycle data were collected for different routes in Kuala Terengganu city at peak hours which were then split into several micro-trips. A genetic algorithm was used as a procedure for selecting the optimised micro-trip to develop a complete Kuala Terengganu driving cycle. Then, the proposed driving cycle was compared with other existing driving cycles such as Urban Dynamometer Driving Schedule, Highway Fuel Economy Test Cycle, Supplemental Federal Test Procedure and Environmental Protection Agency. The proposed complete Kuala Terengganu driving cycle was successfully developed with 10 micro-trips and a total time of 1600s. The results showed that the comparison of percentages error for characteristic parameters for the KT and UDDS driving cycle was the lowest at 161.4 percent compared to others. This indicated that KT driving cycle and UDDS driving cycle is similar to each other as the driving cycle for cities. As a conclusion, the KT driving cycle was successfully obtained using the GA method with all of the percentage error for all parameters of below 10 percent, except for the percentage of cruise time. The results for the comparison also proved that the KT driving cycle is similar to UDDS driving cycle where both are the driving cycle for cities.

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“…For instance, a driving cycle was developed to estimate vehicular driving patterns in the Slovenian city of Celje and was compared with the driving cycles of other cities in Europe by Kneza et al [3]. Also, different methods are studied to develop various driving cycles for a several cities in Asia [4] [5] [6] [7].…”

Section: Introductionmentioning

confidence: 99%

Derivation of a Representative Engine Duty Cycle from On-Road Heavy-Duty Vehicle Driving Data

Peng¹,

Nix²,

Li³

et al. 2017

JTTs

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The heavy-duty vehicle fleet involved in delivering water and sand makes noticeable issues of exhaust emissions and fuel consumption in the process of shale gas development. To examine the possibility of converting these heavy-duty diesel engines to run on natural gas-diesel dual-fuel, a transient engine duty cycle representing the real-world engine working conditions is necessary. In this paper, a methodology is proposed, and a target engine duty cycle comprising of 2231 seconds is developed from on-road data collected from 11 on-road sand and water hauling trucks. The similarity of inherent characteristics of the developed cycle and the base trip observed is evidenced by the 2.05% error of standard deviation and average values for normalized engine speed and engine torque. Our results show that the proposed approach is expected to produce a representative cycle of in-use heavy-duty engine behavior.

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Development of real-world driving cycle: Case study of Pune, India

Cited by 205 publications

References 6 publications

Developing Speed Dependent Emission Factors Using on-Board Emission Measuring Equipment in India

Developing Speed Dependent Emission Factors Using on-Board Emission Measuring Equipment in India

Characterisation and development of driving cycle for work route in Kuala Terengganu

Derivation of a Representative Engine Duty Cycle from On-Road Heavy-Duty Vehicle Driving Data

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