12 results found
Latinopoulos C, Sivakumar A, Polak J, 2021, Optimal pricing of vehicle-to-grid services using disaggregate demand models, Energies, Vol: 14, ISSN: 1996-1073
The recent revolution in electric mobility is both crucial and promising in the coordinated effort to reduce global emissions and tackle climate change. However, mass electrification brings up new technical problems that need to be solved. The increasing penetration rates of electric vehicles will add an unprecedented energy load to existing power grids. The stability and the quality of power systems, especially on a local distribution level, will be compromised by multiple vehicles that are simultaneously connected to the grid. In this paper, the authors propose a choice-based pricing algorithm to indirectly control the charging and V2G activities of electric vehicles in non-residential facilities. Two metaheuristic approaches were applied to solve the optimization problem, and a comparative analysis was performed to evaluate their performance. The proposed algorithm would result in a significant revenue increase for the parking operator, and at the same time, it could alleviate the overloading of local distribution transformers and postpone heavy infrastructure investments.
Latinopoulos C, Daina N, Polak J, 2018, Trust in IoT-enabled mobility services: predictive analytics and the impact of prediction errors on the quality of service in bike sharing, Living in the Internet of Things: Cybersecurity of the IoT
Daina N, Latinopoulos C, Manca F, et al., 2018, An analysis of the joint dynamics of attitudes, intentions and behaviour in e-cycling, hEART 2018 - 7th Symposium of the European Association for Research in Transportation
Latinopoulos C, Sivakumar A, Polak JW, 2017, Response of electric vehicle drivers to dynamic pricing of parking and charging services: risky choice in early reservations, Transportation Research Part C: Emerging Technologies, Vol: 80, Pages: 175-189, ISSN: 0968-090X
When clusters of electric vehicles charge simultaneously in urban areas, the capacity of the power network might not be adequate to accommodate the additional electricity demand. Recent studies suggest that real-time control strategies, like dynamic pricing of electricity, can spread the demand and help operators to avoid costly infrastructure investments. To assess the effectiveness of dynamic pricing, it is necessary to understand how electric vehicle drivers respond to uncertain future prices when they charge their vehicle away from home. Even when data is available from electric vehicle trials, the lack of variability in electricity prices renders them insufficient for this analysis. We resolve this problem by designing a survey where we observe the stated preferences of the respondents for hypothetical charging services. A novel feature of this survey is its interface, which resembles an online or smartphone application for parking-and-charging reservations. The time-of-booking choices are evaluated within a risky-choice modelling framework, where expected utility and non-expected utility specifications are compared to understand how people perceive price probabilities. In the progress, we bring together theoretical frameworks of forward-looking behaviour in contexts where individuals were subject to equivalent price uncertainties. The results suggest that a) the majority of the electric vehicle drivers are risk averse by choosing a certain price to an uncertain one and b) there is a non-linearity in their choices, with a disproportional influence by the upper end of the price distribution. This approach gives new perspectives in the way people plan their travel activities in advance and highlights the impact of uncertainty when managing limited resources in dense urban centres. Similar surveys and analyses could provide valuable insights in a wide range of innovative mobility applications, including car-sharing, ride-sharing and on-demand services.
Latinopoulos C, Sivakumar A, Polak JW, 2017, Modeling electric vehicle charging behaviour: What is the relationship between charging location, driving distance and range anxiety?, Annual Meeting of the Transportation Research Board
For parking operators and charging service providers it is critical to understand the factors that influence the demand for charging electric vehicles away from home. This information will not only help them to better anticipate the impact on the power grid, but also to develop revenue maximizing demand response strategies. Recent studies suggest that observable and unobservable attributes of travel demand affect the location and the frequency of charging events. Nevertheless, it is unlikely that there is a simple one way causality in the relationship, since the distinctive characteristics of electric vehicles might also lead to transformations in travel behaviour. In order to examine these ambiguous interrelationships we develop two models: a binary logistic regression for home charging vs out-of-home charging and an ordered logit regression for the daily distance driven with an electric vehicle. Attitudes and perceptions of individuals towards range constraints are indirectly captured with latent constructs like schedule flexibility or mobility necessity. The data used for the analysis were collected through the administration of an online survey to electric vehicle drivers in the UK and Ireland. Results show that there is an intrinsic link between charging and travel behaviour with potential implications both in a strategic and an operational level.
Le Vine SE, Latinopoulos C, Polak J, 2016, Analysis of the relationship between internet usage and allocation of time for personal travel and out of home activities: Case study of Scotland in 2005/6, Travel Behaviour and Society, ISSN: 2214-367X
Latinopoulos C, Sivakumar A, Polak JW, 2015, Modeling Joint Charging and Parking Choices of Electric Vehicle Drivers Decentralized Control Approach for Charging Service Providers, TRANSPORTATION RESEARCH RECORD, Pages: 124-133, ISSN: 0361-1981
Le Vine S, Latinopoulos C, Polak J, 2014, What is the relationship between online activity and driving-licence-holding amongst young adults? (vol 41, pg 1071, 2014), TRANSPORTATION, Vol: 41, Pages: 1341-1341, ISSN: 0049-4488
Le Vine SE, Latinopoulos C, Polak JW, 2014, What is the relationship between online activity and driving-licence-holding amongst young adults?, Transportation, Vol: Forthcoming
There is growing interest amongst both practitioners and researchers in the correlates of young adults’ driving-licence-acquisition. One aspect of the ongoing scholarly debate is whether taking part in online (i.e. virtual) activities may be associated with young adults feeling less need to drive and hence to acquire a driving licence. This paper addresses this issue by drawing on analysis of two distinct datasets. Both contain rich pseudo-diary instruments in which people indicate detailed characteristics of their unique online-activity profile. This includes both indicators of the types of online activities in which respondents participate, and a separate metric of internet-use intensity. The latter is defined in one dataset as the amount of time per week spent online, and in the other dataset the frequency of their internet use.On the basis of a set of multivariate regression analyses, a positive (i.e. complementary) cross-sectional relationship between young adults’ online activity and licence-holding was found. We find that young adults who use the internet are, net of confounding effects, more likely to hold a driving licence than otherwise identical young adults who do not use the internet. Both datasets show this type of effect, and it is robust across a range of model specifications, including multi-stage estimations to address cross-correlation between indicators of internet usage. In addition to the positive net statistical association, we also report several other noteworthy effects. Of the six effects associated with online-activity types that are directly comparable between the two datasets, we find that the correlation in the parameter estimates across the two datasets is 0.63. This suggests similar types of relationships across the two datasets. Also, in several (but not all) of our analyses we found an inverted ‘U’ shaped ceteris paribus relationship between intensity-of-internet-use and licence-holding. The positi
Le Vine S, Latinopoulos C, Polak J, 2014, Establishing the linkages between online activity and car use: Evidence from a combined travel diary and online-activity pseudo-diary dataset, Transportation Research Record-Series
Le Vine S, Latinopoulos C, Polak J, 2013, A Tenuous Result: Re-analysis of the Link Between Internet Usage and Young Adults' Driving License Holding. Comments on "Recent Changes in the Age Composition of Drivers in 15 Countries", TRAFFIC INJURY PREVENTION, Vol: 14, Pages: 654-657, ISSN: 1538-9588
Le Vine S, Latinopoulos C, Polak J, 2013, A Tenuous Result: Re-analysis of the Link Between Internet Usage and Young Adults' Driving License Holding. Comments on "Recent Changes in the Age Composition of Drivers in 15 Countries", INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, Vol: 90, Pages: 654-657, ISSN: 0020-7160
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