Estimation of real-driving emissions for buses fueled with liquefied natural gas based on gradient boosted regression trees

Pan, Yingjiu; Chen, Shuyan; Qiao, Fengxiang; Ukkusuri, Satish V.; Tang, Kun

doi:10.1016/j.scitotenv.2019.01.054

Cited by 91 publications

(36 citation statements)

References 29 publications

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“…In recent years, the big data provide more opportunities to better understand travelers' behavior and the transportation systems [14][15][16][17][18]. Social media is an important data source in social transportation research.…”

Section: Literature Reviewmentioning

confidence: 99%

Mining Public Opinion on Transportation Systems Based on Social Media Data

Zhang

2019

Sustainability

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Public participation plays an important role of traffic planning and management, but it is a great challenge to collect and analyze public opinions for traffic problems on a large scale under traditional methods. Traffic management departments should appropriately adopt public opinions in order to formulate scientific and reasonable regulations and policies. At present, while increasing degree of public participation, data collection and processing should be accelerated to make up for the shortcomings of traditional planning. This paper focuses on text analysis using large data with temporal and spatial attributes of social network platform. Web crawler technology is used to obtain traffic-related text in mainstream social platforms. After basic treatment, the emotional tendency of the text is analyzed. Then, based on the probabilistic topic modeling (latent Dirichlet allocation model), the main opinions of the public are extracted, and the spatial and temporal characteristics of the data are summarized. Taking Nanjing Metro as an example, the existing problems are summarized from the public opinions and improvement measures are put forward, which proves the feasibility of providing technical support for public participation in public transport with social media big data.

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Section: Literature Reviewmentioning

confidence: 99%

Mining Public Opinion on Transportation Systems Based on Social Media Data

Zhang

2019

Sustainability

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“…The study of the interaction between passenger organizing and resources was poor, and so was the analysis of sustainable development. In subsequent research, it is necessary to overcome the above shortcomings and conduct some research on the relationship between transportation and the environment [53,54], the interaction between resources utilization and its pattern of utilization [55], and the impact of public transit on urban life [56,57].…”

Section: Scenario 3 2mentioning

confidence: 99%

Optimization of Metro Passenger Organizing of Alighting and Boarding Processes: Simulated Evidence from the Metro Station in Nanjing, China

Gao

et al. 2019

Sustainability

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Since the long dwell time and chaotic crowds make metro trips inefficient and dissatisfying, the importance of optimizing alighting and boarding processes has become more prominent. This paper focuses on the adjustment of passenger organizing modes. Using field data from the metro station in Nanjing, China, a micro-simulation model of alighting and boarding processes based on an improved social force paradigm was built to simulate the movement of passengers under different passenger organizing modes. Unit flow rate, delay, and social force work (SFW) jointly reflect the efficiency and, especially, the physical energy consumption of passengers under each mode. It was found that when passengers alighted and boarded by different doors, efficiency reached its optimal level which was 76.92% higher than the status quo of Nanjing, and the physical energy consumption was reduced by 16.30%. Both the findings and the model can provide support for passenger organizing in metro stations, and the concept of SFW can be applied to other scenes simulated by the social force model, such as evacuations of large-scale activities, to evaluate the physical energy consumption of people.

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“…The first pollution routing problem is introduced by Bektaş and Laporte (2011) [16]. Pan et al (2019) studied LNG emissions using gradients boosted regression trees [17]. Their results showed a different emission behavior of LNG vehicles as compared to the other types of vehicles.…”

Section: Literature Reviewmentioning

confidence: 99%

Towards an Energy Efficient Solution for Bike-Sharing Rebalancing Problems: A Battery Electric Vehicle Scenario

2019

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A free-float bike-sharing system faces various operational challenges to maintain good service quality while optimizing the operational cost. The primary problems include the fulfillment of the users demand at all stations, and the replacement of faulty bikes presented in the system. This study focuses on a free-float bike-sharing system rebalancing problem (FFBP) with faulty bikes using battery electric vehicles (BEVs). The target inventory of bikes at each station is obtained while minimizing the total traveling time through the presented formulation. Using CPLEX solver, the model is demonstrated through numerical experiments considering the various vehicle and battery capacities, and a cost–benefit analysis is performed for BEV and conventional internal combustion engine vehicles (ICEVs) while taking the BEV manufacturing and indirect emission into account. The results show that the annual cost incurred on an ICEV is 56.9% more as compared to the cost of using an equivalent BEV. Since BEVs consume less energy than conventional ICEVs, the use of BEVs for rebalancing the bike-sharing systems results in significant energy savings for an urban transport network. Moreover, the life cycle emissions of an ICEV are 48.3% more as compared to an equivalent BEV. Furthermore, the operational cost of a BEV significantly reduces with the increase in battery capacity.

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Estimation of real-driving emissions for buses fueled with liquefied natural gas based on gradient boosted regression trees

Cited by 91 publications

References 29 publications

Mining Public Opinion on Transportation Systems Based on Social Media Data

Mining Public Opinion on Transportation Systems Based on Social Media Data

Optimization of Metro Passenger Organizing of Alighting and Boarding Processes: Simulated Evidence from the Metro Station in Nanjing, China

Towards an Energy Efficient Solution for Bike-Sharing Rebalancing Problems: A Battery Electric Vehicle Scenario

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