- Abolhoseini, S. and Sadeghi-Niaraki, A. (2016) “Survey on certain and heuristic route finding algorithms in GIS”, GEJ, Vol. 7, No. 4, pp. 49-65.
- Boroujerdian, A. M., Fetanat, M. and Abolhasannejad, V. (2015) “Identification of high crash road segment using genetic algorithm”, International Journal of Transportation Engineering, Vol. 3, No. 2, pp. 93-107.
- Chakhar, S. and Martel, J.-M. (2003) “Enhancing geographical information systems capabilities with multi-criteria evaluation functions”, Journal of geographical information and decision analysis, Vol. 7, No. 2, pp. 47-71.
- Claes, R. and Tom, H. (2011) “Ant colony optimization applied to route planning using link travel time predictions”, IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW).
- Coello Coello, C. A., Lamount, G. and Veldhuizen, D. A. (2002) “Evolutionary algorithms for solving multi-objective problems”, New York: Springer.
- Deneubourg, J. L., Aron, S., Goss, S. and Pasteels, J. M. (1990) “The self-organizing exploratory pattern of the argentine ant”. Journal of insect behavior, Vol. 3, No. 2, pp. 159-168.
- Di Caro, G. (2004) “Ant colony optimization and its application to adaptive routing in telecommunication networks”, PhD Dissertation, Faculté des Sciences Appliquées, Université Libre de Bruxelles, Brussels, Belgium.
- Dijkstra, E. W. (1959) “A note on two problems in connection with graphs”, Numerische Mathematik, Vol. 1, No. 1, pp. 269-271.
- Ding, J., Wang , C., Meng , F. and Wu , T. (2010) “Real-time vehicle route guidance using vehicle-to-vehicle communication”, IET Communications, Vol. 4, No. 7, pp. 870-883.
- Dorigo, M. and Birattari, M. (2010) “Ant colony optimization. In: Encyclopedia of machine learning”, Berlin, Heidelberg: Springer Science and Business Media, pp. 36-39.
- Dorigo, M. (1992) “Optimization learning and natural algorithms (in Italian)”, Ph.D. Dissertation, Dipartimento di Electronica Politecnico di Milano, Italy.
- Dorigo, M., Di Caro, G. and Gambardella, L. (1999) “Ant algorithms for discrete optimization”, Artificial Life, Vol. 5, No. 2, pp. 137-172.
- Eydi, A., Panahi, S. and Nakhai Kamalabadi, I. (2017) “User-based vehicle route guidance in urban networks based on intelligent multi agents systems and the ANT-Q Algorithm”. International Journal of Transportation Engineering, Vol. 3, No. 4, pp. 147-161.
- Fu, L. (2001) “An adaptive routing algorithm for in-vehicle route guidance systems with real-time information”. Transportation Research Part B: Methodological, Vol. 35, No. 8, pp. 749-765.
- Gao, S. and Chabini, I. (2006) “Optimal routing policy problems in stochastic time dependent networks”, Transportation Research Part B: Methodological, Vol. 40, No. 2, pp. 93-122.
- Jabbarpour, M. R., Jalooli, A., Shaghaghi, E., Noor, R. M., Rothkrantz, L., Khokhar, R. H. and Anuar, N. B. (2014) “Ant-based vehicle congestion avoidance system using vehicular networks”, Engineering Applications of Artificial Intelligence, Vol. 36, pp. 303-319.
- Jozefoweiz , N., Semet, F. and Talbi, E. (2008) “Multi-objective vehicle routing problem”, European Journal of Operational Research, Vol. 189, No. 2, pp. 293-309.
- LaValle, S. M. (2006) “Planning algorithms”, Lauren Cowles ed. Cambridge: Cambridge University Press.
- Lin, J., Yu, W., Yang, X., Yang, Q., Fu, X. and Zhao, W. (2017) “A real-time en-route route guidance decision scheme for transportation-based Cyberphysical Systems”, IEEE Transactions on Vehicular Technology, Vol. 66, No. 3, pp. 2551-2566.
- Lopez-Ibanez, Mm. (2004) “Multi-Objective Ant Colony Optimization”, Diploma Thesis: Technische Universität Darmstadt.
- Magzhan, K. and Mat Jani, H. (2013) “A review and evaluations of shortest path algorithms”, International Journal Of Scientific and Technology Research, Vol. 2, No. 6, pp. 99-104.
- Masoomi, Z., Sadeghi-Niaraki, A. and Mesgari, M. S. (2011) “Designing and using a multi-objective route planning algorithm in intelligent transportation system”, Transportation Research Journal (TRJ), Vol. 8, No. 1, pp. 47-62.
- Mooney, P. and Winstanley, A. (2006) “An evolutionary algorithm for multicriteria path optimization problems”, International Journal of Geographical Information Science, Vol. 20, No. 4, pp. 401-423.
- Nadi, S. and Delavar, M. R. (2010) “Location-based service for In-vehicle route guidance with real time traffic information”, Lisboa, Portugal, the 12th World Conference on Transport Research.
- Pahlavani, P., Delavar, M. R. and Frank, A. U. (2012) “Using a modified invasive weed optimization algorithm for personalized urban multi-criteria path optimization problem”. International Journal of Applied Earth Observation and Geoinformation, Vol. 18, pp. 313-328.
- Pahlavani, P., Samadzadegan, F. and Delavar, M. R. (2006) “A GIS-Based approach for urban multi-criteria quasi optimized route guidance by considering unspecified site satisfaction”, Berlin Heidelberg, International Conference on Geographic Information Science.
- Ueda, N. Naya, F., Shimizu, H., Iwata, T., Okawa, M. and Sawada, H. (2015) “Real-time and proactive navigation via spatio-temporal prediction”, ACM, Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers.
- Wang, M., Shan, H., Lu, R., Zhang, R., Shen, X. and Bai, F. (2015) “Real-time path planning based on Hybrid-VANET-enhanced transportation system”, IEEE Transactions on Vehicular Technology, Vol. 64, No. 5, pp. 1664-1678.
- Zakaria, S., Rey, G., Mohamed, E., Lavirotte, S., Abdelaziz, E. F. and Tigli, J.Y. (2015) “Smart geographic object: Toward a new understanding of GIS Technology in ubiquitous computing”, JCSI International Journal of Computer Science, Vol. 12, No, 2.
- Zhang, W., Zhang, Z. and Xu, J. (2006) “Dynamic route guidance using neurodynamic programming”, Sixth International Conference on Intelligent Systems Design and Applications, Vol. 2, pp. 1177-1181. IEEE.
- Zitzler, E. and Thiele, L. (1998) “Multi objective optimization using evolutionary algorithms- A comparative case study”, Springer Berlin Heidelberg, International Conference on Parallel Problem Solving from Nature.