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John Polak
John Polak
Professor of Transport Demand, Imperial College London
在 imperial.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
年份
A data-based opportunity identification engine for collaborative freight logistics based on a trailer capacity graph
J Luan, N Daina, KH Reinau, A Sivakumar, JW Polak
Expert Systems with Applications 210, 118494, 2022
12022
Sentiment analysis of popular-music references to automobiles, 1950s to 2010s
C Wu, S Le Vine, E Bengel, J Czerwinski, J Polak
Transportation 49 (2), 641-678, 2022
22022
Dynamic pricing of free-floating carsharing networks with sensitivity to travellers’ attitudes towards risk
C Wu, S Le Vine, A Sivakumar, J Polak
Transportation 49 (2), 679-702, 2022
202022
Capturing the effect of multiple social influence sources on the adoption of new transport technologies and services
F Manca, A Sivakumar, JW Polak
Journal of choice modelling 42, 100344, 2022
152022
Journal of choice modelling
F Manca, A Sivakumar, JW Polak
Journal of Choice Modelling 42, 100344, 2022
12022
Modelling indirect social influence on choice behaviour: theory and empirical application on electric vehicle preferences
F Manca, A Sivakumar, N Daina, J Axsen, JW Polak
Modelling indirect social influence on choice behaviour: theory and …, 2022
12022
Optimal Pricing of Vehicle-to-Grid Services Using Disaggregate Demand Models
C Latinopoulos, A Sivakumar, JW Polak
Energies 14 (4), 1090, 2021
62021
Optimal Pricing of Vehicle-to-Grid Services Using Disaggregate Demand Models. Energies 2021, 14, 1090
C Latinopoulos, A Sivakumar, JW Polak
Smart Energy and Intelligent Transportation Systems, 39, 2021
2021
Short-term traffic prediction under disruptions using deep learning
Y Dong, F Guo, A Sivakumar, J Polak
Traffic Information and Control, 79, 2020
2020
Modelling the influence of peers’ attitudes on choice behaviour: Theory and empirical application on electric vehicle preferences
F Manca, A Sivakumar, N Daina, J Axsen, JW Polak
Transportation Research Part A: Policy and Practice 140, 278-298, 2020
262020
An approach for building occupancy modelling considering the urban context
H Hou, J Pawlak, A Sivakumar, B Howard, J Polak
Building and Environment 183, 107126, 2020
162020
Free-floating carsharing users’ willingness-to-pay/accept for logistics management mechanisms
C Wu, S Le Vine, S Philips, W Tang, J Polak
Travel Behaviour and Society 21, 154-166, 2020
152020
Valuing portfolios of interdependent real options under exogenous and endogenous uncertainties
S Maier, GC Pflug, JW Polak
European Journal of Operational Research 285 (1), 133-147, 2020
312020
Right-of-way reallocation for mixed flow of autonomous vehicles and human driven vehicles
T Li, F Guo, R Krishnan, A Sivakumar, J Polak
Transportation research part C: emerging technologies 115, 102630, 2020
652020
Valuing portfolios of interdependent real options using influence diagrams and simulation-and-regression: A multi-stage stochastic integer programming approach
S Maier, JW Polak, DM Gann
Computers & Operations Research 115, 104505, 2020
142020
Factors associated with round-trip carsharing frequency and driving-mileage impacts in London
C Wu, S Le Vine, M Clark, K Gifford, J Polak
International journal of sustainable transportation 14 (3), 177-186, 2020
192020
A Data-driven Opportunity Identification Engine for Collaborative Freight Logistics Based on a Trailer Capacity Graph
J Luan, N Diana, KH Reinau, A Sivakumar, JW Polak
Transport Research Board Annual Meeting 2020, 20-01811, 2020
2020
Evaluating grid-interactive electric bus operation and demand response with load management tariff
Z Wu, F Guo, J Polak, G Strbac
Applied energy 255, 113798, 2019
382019
The structure of public-private sector collaboration in travel information markets: A game theoretic analysis
J Luan, J Polak, R Krishnan
Transportation Research Part A: Policy and Practice 129, 19-38, 2019
32019
Traffic monitoring and anomaly detection based on simulation of luxembourg road network
L Zhu, R Krishnan, A Sivakumar, F Guo, JW Polak
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 382-387, 2019
212019
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