References
- Ahmed, H., & Tahir, M. (2017). Accurate attitude estimation of a moving land vehicle using low-cost MEMS IMU sensors. IEEE Transactions on Intelligent Transportation Systems, 18 (7), 1723–1739. https://doi.org/10.1109/TITS.2016.2627536
- Alvarez, I., & Rumbel, L. (2015). Skyline: a rapid prototyping driving simulator for user experience [Paper presentation].Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, and R. & Adams, in.
- André, M. (2004). The ARTEMIS European driving cycles for measuring car pollutant emissions. The Science of the Total Environment, 334–335, 73–84. https://doi.org/10.1016/j.scitotenv.2004.04.070
- Bilik, I., Tabrikian, J., & Cohen, A. (2006). GMM-based target classification for ground surveillance Doppler radar. IEEE Transactions on Aerospace and Electronic Systems, 42 (1), 267–278. https://doi.org/10.1109/TAES.2006.1603422
- Biona, J. B. M. M., & Culaba, A. B. (2006). Drive cycle development for tricycles. Clean Technologies and Environmental Policy, 8 (2), 131–137. https://doi.org/10.1007/s10098-006-0035-x
- Bogdanović, V., Ruškić, N., Papić, Z., & Simeunović, M. (2013). The research of vehicle acceleration at signalized intersections. PROMET – Traffic&Transportation, 25 (1), 33–42. https://doi.org/10.7307/ptt.v25i1.1245
- Boonsiripant, S., Hunter, M., Dixon, K., & Rodgers, M. O. (2010). Measurement and comparison of acceleration and deceleration zones at traffic control intersections. Transportation Research Record: Journal of the Transportation Research Board, 2171 (1), 1–10. https://doi.org/10.3141/2171-01
- Environmental Protection Agency. (2003). User's guide to MOBILE6. 1 and MOBILE6. 2.
- Frey, H. C. (2002). Evaluation and recommendation of a modal method for modeling vehicle emissions. In Proceedings of the 12th International Emission Inventory Conference—“Emission Inventories-Applying New Technologies. Citeseer.
- Godley, S. T., Triggs, T. J., & Fildes, B. N. (2002). Driving simulator validation for speed research. Accident Analysis and Prevention, 34 (5), 589–600. https://doi.org/10.1016/S0001-4575(01)00056-2
- Gordon, T. Site-based video system design and development. (2012).
- Hidas, P. (2005). A functional evaluation of the AIMSUN, PARAMICS and VISSIM microsimulation models. Road & Transport Research, 14 (4), 45.
- Jeng, S.-L., Chieng, W-h., & Lu, H.-P. (2014). Estimating speed using a side-looking single-radar vehicle detector. IEEE Transactions on Intelligent Transportation Systems, 15 (2), 607–614. https://doi.org/10.1109/TITS.2013.2283528
- Jin, X., Zhang, Y., Wang, F., Li, L., Yao, D., Su, Y., & Wei, Z. (2009). Departure headways at signalized intersections: A log-normal distribution model approach. Transportation Research Part C: emerging Technologies, 17 (3), 318–327. https://doi.org/10.1016/j.trc.2009.01.003
- Kim, I., Ferreira, L., Tey, L. S., & Wallis, G. (2013). Integration of driving simulator and traffic simulation to analyse behaviour at railway crossings. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 227 (5), 427–438. https://doi.org/10.1177/0954409713489117
- Kim, S., & Coifman, B. (2017). Assessing the Performance of SpeedInfo Radar Traffic Sensors. Journal of Intelligent Transportation Systems, 21 (3), 179–189. https://doi.org/10.1080/15472450.2016.1273779
- Koupal, J. (2003). Design and implementation of MOVES: EPA’s new generation mobile source emission model. Ann Arbor, 1001 (48), 105.
- Larue, G. S., Kim, I., Rakotonirainy, A., Haworth, N. L., & Ferreira, L. (2015). Driver’s behavioural changes with new intelligent transport system interventions at railway level crossings – A driving simulator study. Accident Analysis & Prevention, 81, 74–85. https://doi.org/10.1016/j.aap.2015.04.026
- Li, X., Li, G., Pang, S.-S., Yang, X., & Tian, J. (2004). Signal timing of intersections using integrated optimization of traffic quality, emissions and fuel consumption: A note. Transportation Research Part D: Transport and Environment, 9 (5), 401–407. https://doi.org/10.1016/j.trd.2004.05.001
- Lin, J., & Niemeier, D. A. (2003). Estimating regional air quality vehicle emission inventories: Constructing robust driving cycles. Transportation Science, 37 (3), 330–346. https://doi.org/10.1287/trsc.37.3.330.16045
- Long, G. (2000). Acceleration characteristics of starting vehicles. Transportation Research Record: Journal of the Transportation Research Board, 1737 (1), 58–70. https://doi.org/10.3141/1737-08
- Manon, K., Jeroen, D. H., & Thomas, B. S. (2017). Using Inertial Sensors for Position and Orientation Estimation. Now Foundations and Trends.
- Mayakuntla, S. K., & Verma, A. (2018). A novel methodology for construction of driving cycles for Indian cities. Transportation Research Part D: Transport and Environment, 65, 725–735. https://doi.org/10.1016/j.trd.2018.10.013
- Minocha, V. K. (2005). Discussion of “Impact Stops on Vehicle Fuel Consumption and Emissions” by Hesham Rakha and Yonglian Ding. Journal of Transportation Engineering, 131 (7), 571–571. https://doi.org/10.1061/(ASCE)0733-947X(2005)131:7(571)
- Minoura, H., Takekawa, H., & Terada, S. (2009). Roadside nanoparticles corresponding to vehicle emissions during one signal cycle. Atmospheric Environment, 43 (3), 546–556. https://doi.org/10.1016/j.atmosenv.2008.10.004
- Muthén, L. K., & Muthén, B. O. (2002). How to use a Monte Carlo study to decide on sample size and determine power. Structural Equation Modeling: A Multidisciplinary Journal, 9 (4), 599–620. https://doi.org/10.1207/S15328007SEM0904_8
- Ou, S. (2011). Development of hybrid city bus's driving cycle [Paper presentation].2011 International Conference on Electric Information and Control Engineering, in. IEEE.
- Pandian, S., Gokhale, S., & Ghoshal, A. K. (2009). Evaluating effects of traffic and vehicle characteristics on vehicular emissions near traffic intersections. Transportation Research Part D: Transport and Environment, 14 (3), 180–196. https://doi.org/10.1016/j.trd.2008.12.001
- Pham, H. D., & Drieberg, M. Development of vehicle tracking system using GPS and GSM modem [Paper presentation].2013 IEEE Conference on Open Systems (ICOS), and C. C. & Nguyen, in. 2013. https://doi.org/10.1109/ICOS.2013.6735054
- Punzo, V., Borzacchiello, M. T., & Ciuffo, B. (2011). On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data. Transportation Research Part C: Emerging Technologies, 19 (6), 1243–1262. https://doi.org/10.1016/j.trc.2010.12.007
- Qiu, H. (2019). Using Downward-Looking LiDAR to Detect and Track Traffic [Paper presentation].IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society, in. IEEE.
- Roy, A., Gale, N., & Hong, L. (2011). Automated traffic surveillance using fusion of Doppler radar and video information. Mathematical and Computer Modelling, 54 (1–2), 531–543. https://doi.org/10.1016/j.mcm.2011.02.043
- Samuel, S., Austin, L., & Morrey, D. (2002). Automotive test drive cycles for emission measurement and real-world emission levels – A review. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 216 (7), 555–564. https://doi.org/10.1243/095440702760178587
- Schroeter, R., & Gerber, M. A. (2018). A low-cost VR-based automated driving simulator for rapid automotive UI prototyping [Paper presentation].Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, in. https://doi.org/10.1145/3239092.3267418
- Sericola, B. (2013). Markov chains: Theory and applications. John Wiley & Sons.
- Shen, P., Zhao, Z., Li, J., & Zhan, X. (2018). Development of a typical driving cycle for an intra-city hybrid electric bus with a fixed route. Transportation Research Part D: Transport and Environment, 59, 346–360. https://doi.org/10.1016/j.trd.2018.01.032
- Skog, I., & Handel, P. (2009). In-car positioning and navigation technologies – A survey. IEEE Transactions on Intelligent Transportation Systems, 10 (1), 4–21. https://doi.org/10.1109/TITS.2008.2011712
- Taheri, M., Matsushita, K., & Sasaki, M. (2017). Virtual reality driving simulation for measuring driver behavior and characteristics. Journal of Transportation Technologies, 07 (02), 123–132. https://doi.org/10.4236/jtts.2017.72009
- Transport Simulation Systems. (2009). Aimsun 6.1 Manual.
- Transportation Research Board. (2010). Highway capacity manual. HCM 2010.
- Wang, J., Dixon, K. K., Li, H., & Ogle, J. (2004). Normal acceleration behavior of passenger vehicles starting from rest at all-way stop-controlled intersections. Transportation Research Record: Journal of the Transportation Research Board, 1883 (1), 158–166. https://doi.org/10.3141/1883-18
- Wang, P. Marionette [Paper presentation]. Enabling on-road wizard-of-oz autonomous driving studies. In Proceedings of the 2017 ACM/IEEE international conference on human-robot interaction. 2017.
- Zhang, Y., Lv, J., & Wang, W. (2013). Evaluation of vehicle acceleration models for emission estimation at an intersection. Transportation Research Part D: Transport and Environment, 18, 46–50. https://doi.org/10.1016/j.trd.2012.09.004
- Zhang, Z. (2000). A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22 (11), 1330–1334. https://doi.org/10.1109/34.888718
- Zhu, S., & Ferreira, L. (2013). Quantifying errors in micro-scale emissions models using a case-study approach. Transportation Research Part D: Transport and Environment, 21, 19–25. https://doi.org/10.1016/j.trd.2013.01.010