Refine your search
Collections
Co-Authors
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Chiang, Wes C.
- SMADS - An ITS in a Wide-Area Public Transportation Network
Abstract Views :96 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Electronics and Graphics Technology, Central Connecticut State University, New Britain, US
2 Department of Management and Education, University of Pittsburgh, Bradford, PA,, US
1 Department of Computer Electronics and Graphics Technology, Central Connecticut State University, New Britain, US
2 Department of Management and Education, University of Pittsburgh, Bradford, PA,, US
Source
Journal of Network and Information Security, Vol 9, No 2 (2021), Pagination: 30-41Abstract
In this paper, we propose an untraditional Intelligent Transportation System (ITS) that deploys in a wide-area public transportation network. Based on emerging digitalized supply chain service (including logistics), peer-to-peer/ad-hoc network, blockchain and Internet of Things (IoT) technologies, our proposed SMADS system has these new features and advantages compared to traditional transportation systems: self-organizing, multi-relayed, across-strangers, decentralized, and sharing-economy-based. We identify two essential requirements for this network system — availability and reliability. To meet these requirements, we compare this network system with existing similar ones and pinpoint two major technical challenges — connectivity/routing maintenance and trust management. We apply latest development in technologies in above-mentioned areas to design solutions to address these challenges. The resulted system can operate on top of existing multiple separate segments of transportation links to form a wide-area transportation network, which enlarges services with low cost. Additionally, the notion has potential application in a wide range of various services. We hope to bring this to readers’ attention for further discussion and improvement.Keywords
Blockchain, Connectivity, ITS, Network, Routing.References
- “New Application for Ride Sharing”. Accessed Jan. 2021. [Online]. Available: http://lazooz.org/
- “Arcade City: The Future of Ridesharing is Decentralized”. Accessed: Jan. 2021. [Online]. Available: https://fee.org/articles/arcade-city-the-fu ture-of-ridesha ring-is-decentralized/
- T. C. Hu, “The maximum capacity route problem,” Operations Research, vol. 9, no. 6, pp. 898-900, 1961.
- F. Chin, and D. Houck, “Algorithms for updating minimal spanning trees,” Journal of Computer and System Sciences, vol. 16, no. 3, pp. 333-344, 1978.
- S. Nakamoto, “Bitcoin: A peer-to-peer electronic cash system,” 2008. [Online]. Available: https://bitcoin.org/ bitcoin.pdf
- Z. Ji, H. Pi, W. Wei, B. Xiong, M. Woźniak, and R. Damasevicius, “Recommendation based on review texts and social communities: A hybrid model,” IEEE Access, vol. 7, pp. 40416-40427, 2019.
- R. K. Behera, S. K. Rath, S. Misra, R. Damasevicius, and R. Maskeliunas, “Large scale community detection using a small world model,” Applied Sciences, vol. 7, no. 11, pp. 1-18, 2017, Art. no. 1173.
- R. Colomo-Palacios, F. J. García-Peñalvo, V. Stantchev, and S. Misrad, “Towards a social and context-aware mobile recommendation system for tourism,” Pervasive and Mobile Computing, vol. 38, part. 2, pp. 505-515, 2017.
- Rabbani, and Aslam, “Internet service selection using service association factor (SAF),” Information Technology and Control, vol. 48, no. 1, pp. 104-114, 2019.
- T. G. Crainica, M. Gendreaub, and J.-Y. Potvin, “Intelligent freight-transportation systems: Assess-ment and the contribution of operations research,” Transportation Research Part C: Emerging Technol-ogies, vol. 17, no. 6, pp. 541-557, 2009.
- M. Rahimi, A. Baboli, and Y. Rekik, “Sustainable inventory routing problem for perishable products by considering reverse logistic,” International Federation of Automatic Control, vol. 49, no. 12, pp. 949-954, 2016.
- C. Cheng, P. Yang, M. Qi, and L.-M. Rousseau, “Modeling a green inventory routing problem with a heterogeneous fleet,” Transportation Research Part E: Logistics and Transportation Review, vol. 97, pp. 97-112, Jan. 2017.
- Y. Li, F. Chu, C. Feng, C. Chu, and M. Zhou, “Integrated production inventory routing planning for intelligent food logistics systems,” IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 3, pp. 867-878, 2019.
- H. Anisi, and H. Abdullah, “Efficient data reporting in intelligent transportation systems,” Networks and Spatial Economics, vol. 16, no. 2, pp. 623-642, 2015.
- B. Y. Chen, X.-W. Chen, H.-P. Chen, and W. H. K. Lam, “Efficient algorithm for finding k shortest paths based on re-optimization technique,” Transportation Research Part E Logistics and Transportation Review, vol. 133, pp. 1-13, 2020.
- E. Q. V. Martins, and M. M. B. Pascoal, “A new implementation of Yen’s ranking loopless paths algorithm,” 4OR, vol. 1, no. 2, pp. 121-133, 2003.
- L. Yang, and X. Zhou, “Optimizing on-time arrival probability and percentile travel time for elementary path finding in time-dependent transportation networks: Linear mixed integer programming reformulations,” Transportation Research Part B: Methodological, vol. 96, pp. 68-91, 2017.
- H. Yu, Z. Fang, F. Alan, T. Murray, H. Peng, and J. Chen, “Impact of oil price fluctuations on tanker maritime network structure and traffic flow changes,” Applied Energy, vol. 237, pp. 390-403, 2019.
- Y.-S. Myung, and Y.-M. Yu, “Freight transportation network model with bundling option,” Transportation Research Part E: Logistics and Transportation Review, vol. 133, pp. 1-11, 2020, Art. no. 101827.
- Z. Kuang, Z. Lian, J. W. Lien, and J. Zheng, “Serial and parallel duopoly competition in multi-segment transportation routes,” Transportation Research Part E: Logistics and Transportation Review, vol. 133, pp. 1-23, 2020, Art. no. 101821.
- L. Wei, J. Zhang, R. Dai, and G. Zhu, “Green flexible vs. inflexible capacity strategies for duopoly,” Transportation Research Part E: Logistics and Transportation Review, vol. 122, pp. 247-267, Feb. 2019.
- M. De, and B. C. Giri, “Modelling a closed-loop supply chain with a heterogeneous fleet under carbon emission reduction policy,” Transportation Research Part E Logistics and Transportation Review, vol. 133, pp. 1-24, 2020, Art. no. 101813.
- S. Zhao, and K. Wang, “A framework for a decentralized and self-organized mail service network,” Proceedings of the 14th International Conference on Future Networks and Communications (FNC), 2019, pp. 327-334.