Strong, C. K., Ye, Z., & Shi, X. (2010). Safety effects of winter weather: the state of knowledge and remaining challenges. Transport reviews, 30(6), 677-699.
FHWA (2011). “Snow and Ice”. Road Weather Management, Federal Highway Administration, U.S. Department of Transportation, Washington, D.C. Accessed August 10, 2011. [Online]. http://ops.fhwa.dot.gov/Weather/weather_events/snow_ice.htm.
Fu, L., Kwon, & T.J. (2018). Chapter 8: Mobility effects of winter weather and road maintenance operations. In X. Shi, L. Fu (Eds.), Sustainable Winter Road Operations, Wiley-Blackwell, pp. 131-155.
Kwon, T. J., Fu, L., & Jiang, C. (2013). “Effect of winter weather and road surface conditions on macroscopic traffic parameters.” Transportation research record, Vol. 2329, 54-62.
Shi, X., & Fu, L. (Eds.). (2018). Sustainable winter road operations. Wiley Blackwell.
Wu, J. (2018). Data processing algorithms and applications of LiDAR-enhanced connected infrastructure sensing (Doctoral dissertation).
Dey, K.C., Mishra, A., Chowdhury, M. (2015). “Potential of intelligent transportation systems in mitigating adverse weather impacts on road mobility: A review.” IEEE Transactions on Intelligent Transportation Systems, 16(3), 1107-1119.
Iteris (2020). “ARC-IT version 8.3, Service Packages.” Accessed on Sept. 18, 2020. [Online]. Available: https://local.iteris.com/arc-it/html/servicepackages/servicepackages-areaspsort.html.
FHWA (2014). “Connected Vehicle Reference Implementation Architecture 2014.” Accessed on Nov. 12, 2014. [Online]. Available: http://www.iteris.com/cvria/.
Chapman, M.B., and Drobot, S. (2012). “The use of connected vehicle observations in weather applications for various highly impacted users of the roads.” Proc. 16th Int. Road Weather Conf., Helsinki, Finland, 1–7.
Shladover, S. (2013). Why automated vehicles need to be connected vehicles. In IEEE Vehicular Networking Conference. Accessed October 1, 2013. [Online]. http://www. ieeevnc.org/2013/media/IEEE_VNC_BostonKeynote_Shladover.pdf.
Sobanjo, J. O. (2019). Civil Infrastructure Management Models for the Connected and Automated Vehicles Technology. Infrastructures, 4(3), 49.
Boban, M., Kousaridas, A., Manolakis, K., Eichinger, J., & Xu, W. (2018). Connected roads of the future: Use cases, requirements, and design considerations for vehicle-to-everything communications. IEEE vehicular technology magazine, 13(3), 110-123.
Sukuvaara, T., & Nurmi, P. (2012). Connected vehicle safety network and road weather forecasting–The WiSafeCar project. In Proceedings of the 16 th International Road Weather Conference, SIRWEC 2012 (pp. 23-25).
Ma, Y., Chowdhury, M., Sadek, A., and Jeihani, M. (2012). “Integrated traffic and communication performance evaluation of an intelligent Vehicle Infrastructure Integration (VII) system for online travel-time prediction.” IEEE Trans. Intell. Transp. Syst., vol. 13, no. 3, pp. 1369-1382.
Najafi, S., Flintsch, G. W., & Khaleghian, S. (2016). Fuzzy logic inference-based Pavement Friction Management and real-time slippery warning systems: a proof of concept study. Accident Analysis & Prevention, 90, 41-49.
Muller, G. (2012). Fuzzy architecture assessment for critical infrastructure resilience. Procedia Computer Science, 12, 367-372.
Mohamed Jaafar, Z.F.B. (2019). Computational Modeling and Simulations of Condition Deterioration to Enhance Asphalt Highway Pavement Design and Asset Management. Dissertation for Ph.D. in Engineering Science. University of Mississippi, Electronic Theses and Dissertations, 1643. https://egrove.olemiss.edu/etd/1643.
Earsom, S., Hallett, R., Perrone, T., Poe, C., & Greenfield, M. (2010). Carbon Sequestration Pilot Program Results: Estimated Land Available for Carbon Sequestration in the National Highway System. Report for the Federal Highway Administration, Washington, D.C.
Poe, C., Plovnick, A., Hodges, T., Hastings, A., & Dresley, S. (2017). Highway renewable energy: photovoltaic noise barriers (No. DOT-VNTSC-FHWA-17-20; FHWA-HEP-17-088). United States. Federal Highway Administration. Office of Natural Environment.
Wang, H., Jasim, A., & Chen, X. (2018). Energy harvesting technologies in roadway and bridge for different applications–A comprehensive review. Applied energy, 212, 1083-1094.
Gholikhani, M., Roshani, H., Dessouky, S., & Papagiannakis, A. T. (2020). A critical review of roadway energy harvesting technologies. Applied Energy, 261, 114388.
Yoomak, S., Jettanasen, C., Ngaopitakkul, A., Bunjongjit, S., & Leelajindakrairerk, M. (2018). Comparative study of lighting quality and power quality for LED and HPS luminaires in a roadway lighting system. Energy and Buildings, 159, 542-557.
Habibzadeh-Bigdarvish, O., Yu, X., Lei, G., Li, T., & Puppala, A. J. (2019). Life-Cycle cost-benefit analysis of Bridge deck de-icing using geothermal heat pump system: A case study of North Texas. Sustainable cities and society, 47, 101492.
Zhu, X., Yu, Y., & Li, F. (2019). A review on thermoelectric energy harvesting from asphalt pavement: Configuration, performance and future. Construction and Building Materials, 228, 116818.
Guo, L., & Lu, Q. (2017). Potentials of piezoelectric and thermoelectric technologies for harvesting energy from pavements. Renewable and Sustainable Energy Reviews, 72, 761-773.
Yang, H., Wang, L., Hou, Y., Guo, M., Ye, Z., Tong, X., & Wang, D. (2017). Development in stacked-array-type piezoelectric energy harvester in asphalt pavement. Journal of Materials in Civil Engineering, 29(11), 04017224.
Wang, C., Song, Z., Gao, Z., Yu, G., & Wang, S. (2019). Preparation and performance research of stacked piezoelectric energy-harvesting units for pavements. Energy and Buildings, 183, 581-591.
Jasim, A., Wang, H., Yesner, G., Safari, A., & Maher, A. (2017). Optimized design of layered bridge transducer for piezoelectric energy harvesting from roadway. Energy, 141, 1133-1145.
Roshani, H., Dessouky, S., Papagiannakis, A. T., & Montoya, A. (2017). Experimental and finite element assessment of three energy harvesting prototypes for roadways. Innovative Infrastructure Solutions, 2(1), 7.
Guo, L., & Lu, Q. (2017). Modeling a new energy harvesting pavement system with experimental verification. Applied energy, 208, 1071-1082.
Cao, Y., Sha, A., Liu, Z., Li, J., & Jiang, W. (2020). Energy output of piezoelectric transducers and pavements under simulated traffic load. Journal of Cleaner Production, 123508.
Du, S., Petrie, J., & Shi, X. (2017). Use of Snow Fences to Reduce the Impacts of Snowdrifts on Highways: Renewed Perspective. Transportation research record, 2613(1), 45-51.
Nabavi, S., & Zhang, L. (2016). Portable wind energy harvesters for low-power applications: A survey. Sensors, 16(7), 1101.
Asanov, I., Sharaborova, E., & Loktionov, E. (2019). Evaluation of technical and economic effect from setup of distributed photovoltaic generation on the Right-of-Way land of the North Caucasus Railway. In E3S Web of Conferences (Vol. 114, p. 05004). EDP Sciences.
Qiao, W., Sharma, A., Hudgins, J. L., Jones, E. G., & Rilett, L. (2011, July). Wind/solar hybrid generation-based roadway microgrids. In 2011 IEEE power and energy society general meeting (pp. 1-7). IEEE.
Datta, U., Dessouky, S., & Papagiannakis, A. T. (2017). Harvesting thermoelectric energy from asphalt pavements. Transportation Research Record, 2628(1), 12-22.
Han, B., Zhang, K., Burnham, T., Kwon, E., & Yu, X. (2012). Integration and road tests of a self-sensing CNT concrete pavement system for traffic detection. Smart Materials and Structures, 22(1), 015020.
Liu, X., Liu, W., Wu, S., & Wang, C. (2014). Effect of carbon fillers on electrical and road properties of conductive asphalt materials. Construction and Building Materials, 68, 301-306.
Xiang, T., Huang, K., Zhang, H., Zhang, Y., Zhang, Y., & Zhou, Y. (2020). Detection of moving load on pavement using piezoelectric sensors. Sensors, 20(8), 2366.
Shi, X., Huang, J., Yang, Z. (2018). Chapter 18: Pavement Treatments for Sustainable Winter Road Maintenance. In X. Shi, L. Fu (Eds.), Sustainable Winter Road Operations, Wiley-Blackwell, pp. 402-422.
Pan, P., Wu, S., Xiao, F., Pang, L., & Xiao, Y. (2015). Conductive asphalt concrete: A review on structure design, performance, and practical applications. Journal of Intelligent Material Systems and Structures, 26(7), 755-769.
Zhang, Y, Liu, Z., Shi, X. A Review on Anti-Icing Asphalt Pavement with Salt-Storage Additive. ASCE Journal of Transportation Engineering, Part B: Pavements, 2020, in press.
Saleh, N. F., Zalghout, A. A., Sari Ad Din, S. A., Chehab, G. R., & Saad, G. A. (2020). Design, construction, and evaluation of energy-harvesting asphalt pavement systems. Road Materials and Pavement Design, 21(6), 1647-1674.
Johnsson, J. (2017). Winter Road Maintenance using Renewable Thermal Energy (Doctoral dissertation, Chalmers Tekniska Hogskola (Sweden)).
Ye, Z., Wu, J., Ferradi, N. E., & Shi, X. (2013). Anti-icing for key highway locations: fixed automated spray technology. Canadian Journal of Civil Engineering, 40(1), 11-18.
Veneziano, D., Muthumani, A., & Shi, X. (2015). Safety effects of fixed automated spray technology systems. Transportation Research Record, 2482(1), 102-109.
Todeschini, I., Di Napoli, C., Pretto, I., Merler, G., Cavaliere, R., Apolloni, R., ... & Benedetti, G. (2016, August). Thermal mapping as a valuable tool for road weather forecast and winter road maintenance: an example from the Italian Alps. In Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016) (Vol. 9688, p. 96880H). International Society for Optics and Photonics.
Hu, Y., Almkvist, E., Gustavsson, T., & Bogren, J. (2019). Modeling Road Surface Temperature from Air Temperature and Geographical Parameters—Implication for the Application of Floating Car Data in a Road Weather Forecast Model. Journal of applied meteorology and climatology, 58(5), 1023-1038.
Ewan, L., Al-Kaisy, A., & Veneziano, D. (2013, January). Remote Sensing of Weather and Road Surface Conditions: Is Technology Mature for Reliable ITS Applications. In TRB 2013 Annnual Meeting, pp: I-18.
Padarthy, M., & Heyns, E. (2019). Identification and classification of slippery winter road conditions using commonly available vehicle variables. Transportation research record, 2673(2), 60-70.
Chen, K., Lu, M., Fan, X., Wei, M., & Wu, J. (2011, August). Road condition monitoring using on-board three-axis accelerometer and GPS sensor. In 2011 6th International ICST conference on communications and networking in China (CHINACOM) (pp. 1032-1037). IEEE.
Pu, Z., Liu, C., Wang, Y., Shi, X., & Zhang, C. (2019). Road Surface Condition Prediction using Long Short-Term Memory Neural Network based on Historical Data (No. 19-03118).
Linton, M. A., & Fu, L. (2016). Connected vehicle solution for winter road surface condition monitoring. Transportation Research Record, 2551(1), 62-72.
Ye, Z., Shi, X., Strong, C. K., & Larson, R. E. (2012). Vehicle-based sensor technologies for winter highway operations. IET Intelligent Transport Systems, 6(3), 336-345.
Santiago-Chaparro, K. R., Chitturi, M., Szymkowski, T., & Noyce, D. A. (2012). Evaluation of performance of automatic vehicle location and TowPlow for winter maintenance operations in Wisconsin. Transportation research record, 2272(1), 136-143.
Albrecht, C., Patterson, R., & Sturges, L. (2018). Weather Services for Sustainable Winter Road Operations. Sustainable Winter Road Operations, 2318, 58.
Tessier, R. (2016). Evaluation of Portable Road Weather Information Systems (No. UMTC-16.03). Massachusetts. Dept. of Transportation. Office of Transportation Planning.
Strong, C., & Fay, L. (2007). RWIS usage report. Alaska DOT and Public Facilities, Final Report. Division of Program Development, Juneau, AK.
Kwon, T. J., Fu, L., & Melles, S. J. (2017). Location optimization of road weather information system (RWIS) network considering the needs of winter road maintenance and the traveling public. Computer‐Aided Civil and Infrastructure Engineering, 32(1), 57-71.
Boban, M., Manolakis, K., Ibrahim, M., Bazzi, S., & Xu, W. (2016, October). Design aspects for 5G V2X physical layer. In 2016 IEEE Conference on Standards for Communications and Networking (CSCN) (pp. 1-7). IEEE.
Raza, N., Jabbar, S., Han, J., & Han, K. (2018, June). Social vehicle-to-everything (V2X) communication model for intelligent transportation systems based on 5G scenario. In Proceedings of the 2nd International Conference on Future Networks and Distributed Systems (pp. 1-8).
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE internet of things journal, 3(5), 637-646.
Khan, S. M., Chowdhury, M., Morris, E. A., & Deka, L. (2019). Synergizing Roadway Infrastructure Investment with Digital Infrastructure for Infrastructure-Based Connected Vehicle Applications: Review of Current Status and Future Directions. Journal of Infrastructure Systems, 25(4), 03119001.
Chowdhury, M., Rahman, M., Rayamajhi, A., Khan, S. M., Islam, M., Khan, Z., & Martin, J. (2018). Lessons learned from the real-world deployment of a connected vehicle testbed. Transportation Research Record, 2672(22), 10-23.
Wang, S., & Li, Z. (2019). Roadside sensing information enabled horizontal curve crash avoidance system based on connected and autonomous vehicle technology. Transportation research record, 2673(5), 49-60.
Theriot, M., Osman, O. A., Ishak, S., Alecsandru, C., Mousa, S. R., & Bakhit, P. R. (2017). Impact of Connected-Vehicle Market Penetration on the Effectiveness of Blind Spot Warning Applications: A Driving Simulation Study (No. 17-04930).
Howe, G., Xu, G., Hoover, D., Elsasser, D., & Barickman, F. (2016). Commercial connected vehicle test procedure development and test results–blind spot warning/lane change warning (No. DOT HS 812 317).
Liu, H., Wei, H., Zuo, T., Li, Z., & Yang, Y. J. (2017). Fine-tuning ADAS algorithm parameters for optimizing traffic safety and mobility in connected vehicle environment. Transportation research part C: emerging technologies, 76, 132-149.
He, X., & Zeng, D. (2017, November). Real-time pedestrian warning system on highway using deep learning methods. In 2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) (pp. 701-706). IEEE.
Abboud, K., Omar, H. A., & Zhuang, W. (2016). Interworking of DSRC and cellular network technologies for V2X communications: A survey. IEEE transactions on vehicular technology, 65(12), 9457-9470.
Dey, K. C., Rayamajhi, A., Chowdhury, M., Bhavsar, P., & Martin, J. (2016). Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication in a heterogeneous wireless network–Performance evaluation. Transportation Research Part C: Emerging Technologies, 68, 168-184.
Jenkins, M., Duggan, D., & Negri, A. (2017, March). Towards a connected bicycle to communicate with vehicles and infrastructure: Multimodel alerting interface with Networked Short-Range Transmissions (MAIN-ST). In 2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) (pp. 1-3). IEEE.
Gungor, O. E., & Al-Qadi, I. L. (2020). All for one: Centralized optimization of truck platoons to improve roadway infrastructure sustainability. Transportation Research Part C: Emerging Technologies, 114, 84-98.
Chang, J. (2017). An overview of USDOT connected vehicle roadside unit research activities (No. FHWA-JPO-17-433). United States. Dept. of Transportation. ITS Joint Program Office.
NOCoE (2020). “Implementation Guide: SPAT Challenge.” National Operations Center of Excellence. Accessed on May 20, 2020. [Online]. Available: https://www.transportationops.org/spatchallenge/resources/Implementation-Guide.
Iteris (2019). “Applications”. Connected Vehicle Reference Implementation Architecture. Accessed on May 20, 2019. [Online]. Available: https://local.iteris.com/cvria/html/applications/applications.html.
Akin, M., He, Y., & Shi, X. (2018). The Use of Connected Vehicle Technology to Facilitate Multimodal Winter Travel (Phase I) (No. Project ID: 2017 Project 09). Final Report for the Center for Advanced Multimodal Mobility Solutions and Education, Charlotte, NC.
Li, H., Wolf, J. C., Mathew, J. K., Navali, N., Zehr, S. D., Hardin, B. L., & Bullock, D. M. (2020). Leveraging Connected Vehicles to Provide Enhanced Roadway Condition Information. Journal of Transportation Engineering, Part A: Systems, 146(8), 04020073.
Gopalakrishna, D., Serulle, N. U., Kitchener, F., Garrett, K., & Newton, D. (2016). Guidelines for deploying connected vehicle-enabled weather responsive traffic management strategies (No. FHWA-JPO-17-478). United States. Federal Highway Administration.
Barbaresso, J.C.; Johnson, P. (2014). Connected Vehicle Infrastructure Deployment Considerations: Lessons Learned from the Safety Pilot Model Deployment; Report Contract No. DTFH61-11-C-00040; HNTB Corporation, for University of Michigan Transportation Research Institute: Ann Arbor, MI, USA, 30 May 2014; 49p.
Young, R. K., Welch, B. M., & Siems-Anderson, A. R. (2019). Generating Weather Alerts Including High Wind Blowover Hazards Using Pikalert® for the Wyoming Connected Vehicle Pilot Project (No. 19-02065).
Khazraeian, S. (2017). "Methods for Utilizing Connected Vehicle Data in Support of Traffic Bottleneck Management". FIU Electronic Theses and Dissertations. 3496. Dissertation for Civil Engineering, Florida International University. https://digitalcommons.fiu.edu/etd/3496.
Head, L. (2016, June). The Multi Modal Intelligent Traffic Signal System (MMITSS): A Connected Vehicle Dynamic Mobility Application. In Mid Year Meeting, Traffic Signal Systems Committee, Transportation Research Board https://i95coalition. org/wp-content/uploads/2016/03/Head. MMITSS. I-95.06 (Vol. 20).
Yao, Z., Jiang, Y., Zhao, B., Luo, X., & Peng, B. (2020). A dynamic optimization method for adaptive signal control in a connected vehicle environment. Journal of Intelligent Transportation Systems, 24(2), 184-200.
Huang, L., Zhai, C., Wang, H., Zhang, R., Qiu, Z., & Wu, J. (2020). Cooperative Adaptive Cruise Control and exhaust emission evaluation under heterogeneous connected vehicle network environment in urban city. Journal of Environmental Management, 256, 109975.
Genders, W., & Razavi, S. N. (2016). Impact of connected vehicle on work zone network safety through dynamic route guidance. Journal of Computing in Civil Engineering, 30(2), 04015020.
FHWA (2020). "ITS ePrimer", developed for the ITS Professional Capacity Building Program. [Online]. Accessed on Sept. 1, 2020. https://www.pcb.its.dot.gov/eprimer/module13.aspx.
Li, H., Peters, L., Banuelos, C., Zaugg, J., Sharma, A., & Bullock, D. M. (2019). Leveraging Snow Plow Dashboards Cams and Connected Vehicle Speed Data to Improve Winter Operations Performance Measures.
Li, X., Medal, H., & Qu, X. (2019). Connected infrastructure location design under additive service utilities. Transportation Research Part B: Methodological, 120, 99-124.
Balakrishna, C. (2012, September). Enabling technologies for smart city services and applications. In 2012 sixth international conference on next generation mobile applications, services and technologies (pp. 223-227). IEEE.