Feasibility-Based Design Model For Road Vertical Alignment

Hongzhi Yang; Xuliang Guo; Zhenfeng Wang; Shanshan Hu

doi:10.7250/bjrbe.2021-16.548

Feasibility-Based Design Model For Road Vertical Alignment

Authors

Hongzhi Yang School of Highway, Chang’an University, Xi’an, China https://orcid.org/0000-0001-6152-8739
Xuliang Guo School of Highway, Chang’an University, Xi’an, China https://orcid.org/0000-0002-6450-1571
Zhenfeng Wang Highway&Municipal Engineering Division, China Railway Design Corporation, Tianjin, China
Shanshan Hu Tianjin urban construction design institute, Tianjin, China

DOI:

https://doi.org/10.7250/bjrbe.2021-16.548

Keywords:

Road design, vertical alignment, feasibility-based design model, design constraints, feasible region

Abstract

Road vertical alignment design is a multi-objective design problem that needs to consider multiple constraints. Intelligent design based on optimization algorithms cannot wholly solve problems, such as multi-objective, uncertainty, and constraint dynamics. The article proposes a model of dynamically transforming design constraints into feasible regions as the design develops, to provide decision information before design actions rather than performing constraint evaluation after the design that reduces the empirical estimation. The design actions are divided into new design actions and modifying design actions, and corresponding feasible regions derived from constraints of design specifications and control elevations are established, respectively. Geometrical equations and program algorithms of feasible regions are described in the graphic environment, which is applied to the vertical alignment design to improve the design efficiency and decision-making level.

References

AASHTO. (2011). A Policy on Geometric Design of Highways and Streets, 2011: American Association of State Highway and Transportation Officials, Washington, D.C.

Beiranvand, V., Hare, W., Lucet, Y., & Hossain, S. (2017). Multi-haul quasi network flow model for vertical alignment optimization. Engineering Optimization, 49(10), 1777–1795. https://doi.org/10.1080/0305215X.2016.1271880

Easa, S. M. (1988). Selection of roadway grades that minimize earthwork cost using linear programming. Transportation Research Part A: General, 22(2), 121–136. https://doi.org/10.1016/0191-2607(88)90024-6

Fanning, R., Veith, G., Whitehead, M., & Aumann, P. (2016). Guide to road design part 3: geometric design.

Fwa, T., Chan, W., & Sim, Y. (2002). Optimal vertical alignment analysis for highway design. Journal of Transportation Engineering, 128(5), 395–402. https://doi.org/10.1061/(ASCE)0733-947X(2002)128:5(395)

Goktepe, A. B., Altun, S., & Ahmedzade, P. (2010). Optimization of vertical alignment of highways utilizing discrete dynamic programming and weighted ground line. Turkish Journal of Engineering and Environmental Sciences, 33(2), 105–116. https://doi.org/10.3906/muh-0904-1

Goktepe, A. B., Lav, A. H., & Altun, S. (2009). Method for optimal vertical alignment of highways. Paper presented at the Proceedings of the Institution of Civil Engineers-Transport.

Hare, W., Hossain, S., Lucet, Y., & Rahman, F. (2014). Models and strategies for efficiently determining an optimal vertical alignment of roads. Computers & Operations Research, 44, 161–173. https://doi.org/10.1016/j.cor.2013.11.005

Hare, W., Lucet, Y., & Rahman, F. (2015). A mixed-integer linear programming model to optimize the vertical alignment considering blocks and side-slopes in road construction. European Journal of Operational Research, 241(3), 631–641. https://doi.org/10.1016/j.ejor.2014.08.035

Hare, W. L., Koch, V. R., & Lucet, Y. (2011). Models and algorithms to improve earthwork operations in road design using mixed integer linear programming. European Journal of Operational Research, 215(2), 470–480. https://doi.org/10.1016/j.ejor.2011.06.011

Higuera de Frutos, S., & Castro, M. (2017). A method to identify and classify the vertical alignment of existing roads. Computer‐Aided Civil and Infrastructure Engineering, 32(11), 952–963. https://doi.org/10.1111/mice.12302

Jha, M. K., & Schonfeld, P. (2000). Integrating genetic algorithms and geographic information system to optimize highway alignments. Transportation Research Record, 1719(1), 233–240. https://doi.org/10.3141/1719-31

Jha, M. K., Schonfeld, P., & Jong, J.-C. (2006). Intelligent road design (Vol. 19). WIT press.

Jonassen, D. H. (1997). Instructional design models for well-structured and III-structured problem-solving learning outcomes. Educational Technology Research and Development, 45(1), 65–94. https://doi.org/10.1007/BF02299613

Kim, E., Jha, M. K., Schonfeld, P., & Kim, H. S. (2007). Highway alignment optimization incorporating bridges and tunnels. Journal of Transportation Engineering, 133(2), 71–81. https://doi.org/10.1061/(ASCE)0733-947X(2007)133:2(71)

Lamm, R., Psarianos, B., & Mailaender, T. (1999). Highway design and traffic safety engineering handbook.

Lawson, B. (2006). How designers think: The design process demystified. Routledge.

Li, W., Pu, H., Schonfeld, P., Yang, J., Zhang, H., Wang, L., & Xiong, J. (2017). Mountain railway alignment optimization with bidirectional distance transform and genetic algorithm. Computer‐Aided Civil and Infrastructure Engineering, 32(8), 691–709. https://doi.org/10.1111/mice.12280

M. Singh, M. P., P. Singh, P., & P. Singh, P. (2019). Fuzzy AHP-based multi-criteria decision-making analysis for route alignment planning using geographic information system (GIS). Journal of Geographical Systems, 21(3), 395–432. https://doi.org/10.1007/s10109-019-00296-0

Moreb, A. A. (1996). Linear programming model for finding optimal roadway grades that minimize earthwork cost. European Journal of Operational Research, 93(1), 148–154. https://doi.org/10.1016/0377-2217(95)00095-X

Wang, S., Guo, T., & Luo, M. (2016). Design Specification for Highway Alignment (Jtg D20-2017). People’s Transportation Press, Beijing.

Wolhuter, K. (2019). Geometric design of roads handbook. CRC Press.