×

Analysis of parking reliability guidance of urban parking variable message sign system. (English) Zbl 1264.90079

Summary: Operators of parking guidance and information systems (PGIS) often encounter difficulty in determining when and how to provide reliable car park availability information to drivers. Reliability has become a key factor to ensure the benefits of urban PGIS. The present paper is the first to define the guiding parking reliability of urban parking variable message signs (VMSs). By analyzing the parking choice under guiding and optional parking lots, a guiding parking reliability model was constructed. A mathematical program was formulated to determine the guiding parking reliability of VMS. The procedures were applied to a numerical example, and the factors that affect guiding reliability were analyzed. The quantitative changes of the parking berths and the display conditions of VMS were found to be the most important factors influencing guiding reliability. The parking guiding VMS achieved the best benefit when the parking supply was close to or was less than the demand. The combination of a guiding parking reliability model and parking choice behavior offers potential for PGIS operators to reduce traffic congestion in central city areas.

MSC:

90B25 Reliability, availability, maintenance, inspection in operations research
60K10 Applications of renewal theory (reliability, demand theory, etc.)
90B20 Traffic problems in operations research
PDF BibTeX XML Cite
Full Text: DOI

References:

[1] M. Wardman, P. W. Bonsall, and J. D. Shires, “Driver response to variable message signs: a stated preference investigation,” Transportation Research Part C, vol. 5, no. 6, pp. 389-405, 1997.
[2] K. Chatterjee, N. B. Hounsell, P. E. Firmin, and P. W. Bonsall, “Driver response to variable message sign information in London,” Transportation Research Part C, vol. 10, no. 2, pp. 149-169, 2002.
[3] K. Yan, Q. Chen, Y. Wen, and B. Zhang, “Location of sign boards in a parking guidance information system (PGIS) based on genetic algorithm,” China Civil Engineering Journal, vol. 39, no. 7, pp. 104-126, 2006.
[4] D.-P. Li, Research on the Optimal Combination Technology of the Urban Parking of the Urban Guidance Parking Message Signs, School of Transportation, Southeast University, Nanjing, China, 2007.
[5] G. Russell, T. Kunimichi, and S. Kobayakawa, “Optimisation of parking guidance and information systems display configurations,” Transportation Research Part C, vol. 9, no. 1, pp. 69-85, 2001.
[6] J. Chen, Z. Y. Zhou, and W. Wang, “Urban parking pre-dispatch methods with non-opposite information appearance,” China Journal of Highway and Transport, vol. 19, no. 4, pp. 103-108, 2006.
[7] Z.-Y. Mei, Y.-Q. Xiang, J. Chen, and W. Wang, “Parking guidance information configuration model based on optimized combination method,” Journal of Zhejiang University, vol. 42, no. 1, pp. 139-144, 2008.
[8] Y. Asakura and M. Kashiwadani, “Evaluation of availability information service by parking choice simulation model,” in Proceedings of the International Conference on Advanced Technologies in Transportation and Traffic Management, pp. 335-342, Centre for Transportation Studies, Nanyang Technological University, Singapore, 1994.
[9] S. Clement and J. Anderson, “Traffic signal timing determination,” in Proceedings of the 2nd International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, pp. 63-68, London, UK, IEEE, 1997, Conf. Publ. No. 446.
[10] F. Caicedo, “The use of space availability information in PARC systems to reduce search times in parking facilities,” Transportation Research Part C, vol. 17, no. 1, pp. 56-68, 2009.
[11] Q. Chen, K. Yan, R. Wang, and Y. Mo, “Parking space information prediction based on phrase construction and Elman neural network,” Journal of Tongji University, vol. 35, no. 5, pp. 607-611, 2007.
[12] R. B. Noland, K. A. Small, P. M. Koskenoja, and X. Chu, “Simulating travel reliability,” Regional Science and Urban Economics, vol. 28, no. 5, pp. 535-564, 1998.
[13] S. Clark and D. Watling, “Modelling network travel time reliability under stochastic demand,” Transportation Research Part B, vol. 39, no. 2, pp. 119-140, 2005.
[14] W. Lain and M. L. Tam, “Reliability assessment on searching time for parking in urban areas,” in The Network Reliability of Transport, pp. 61-78, Elsevier, Oxford, UK, 2003.
[15] D.-P. Li, K.-F. Yan, and X.-T. Cui, “Study of the parking guidance reliability of urban parking variable message signs,” in Proceedings of the 9th International Conference of Chinese Transportation Professionals, pp. 1846-1854, August 2009.
[16] K. Chatterjee, N. B. Hounsell, P. E. Firmin, and P. W. Bonsall, “Driver response to variable message sign information in London,” Transportation Research Part C, vol. 10, no. 2, pp. 149-169, 2002.
[17] Z.-Y. Mei and Y. Tian, “Optimized combination model and algorithm of parking guidance information configuration,” EURASIP Journal on Wireless Communications and Networking, vol. 2011, article 104, 2011.
[18] W. Peter, B. Aloys, and T. Harry, “Travelers micro-behavior at parking lots: a model of parking choice behavior,” in Proceedings of the 82th Annual Meeting of the Transportation Research Board, pp. 1-18, 2003.
[19] G. Russell and J. Anthony, “A parking search model,” Transportation Research Part A, vol. 32, no. 3, pp. 159-170, 1998.
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.