Route Choice Behavior Analysis with Unexpected Delay Information
Route choice behavior analysis has been widely adopted to promote intelligent traffic systems running efficiently. For better grasp the route choice behavior characteristic under some uncertain environments, a practical influential factor of unexpected delay is proposed and invested for urban travel...
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Published in | Procedia engineering Vol. 137; pp. 252 - 258 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
2016
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Subjects | |
Online Access | Get full text |
ISSN | 1877-7058 1877-7058 |
DOI | 10.1016/j.proeng.2016.01.257 |
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Abstract | Route choice behavior analysis has been widely adopted to promote intelligent traffic systems running efficiently. For better grasp the route choice behavior characteristic under some uncertain environments, a practical influential factor of unexpected delay is proposed and invested for urban travel in daily. The parameter of unexpected delay not only can well describe the travelers’ sensitivity of travel time and its accurate, but also greatly influence traveler's judgment for different travel modes. It is important for route choice behavior analysis under uncertain conditions. According to the above, this paper sets multi-subject probability to construct uncertainly traffic environment to analyze the attitude of route choice combine with MEU (maxmin expected utility) theory under risky scenario. The experiments indicate that 95% travelers show risky preference when they in a route choice setting. Furthermore, the sensitivity of delay time is closely relation in proportion to the entire travel time refer to diminishing marginal utility by travelers. Finally, the results also elaborate the phenomenon of the small probability overestimate contrast to the high probability underestimate of the delay probability. |
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AbstractList | Route choice behavior analysis has been widely adopted to promote intelligent traffic systems running efficiently. For better grasp the route choice behavior characteristic under some uncertain environments, a practical influential factor of unexpected delay is proposed and invested for urban travel in daily. The parameter of unexpected delay not only can well describe the travelers’ sensitivity of travel time and its accurate, but also greatly influence traveler's judgment for different travel modes. It is important for route choice behavior analysis under uncertain conditions. According to the above, this paper sets multi-subject probability to construct uncertainly traffic environment to analyze the attitude of route choice combine with MEU (maxmin expected utility) theory under risky scenario. The experiments indicate that 95% travelers show risky preference when they in a route choice setting. Furthermore, the sensitivity of delay time is closely relation in proportion to the entire travel time refer to diminishing marginal utility by travelers. Finally, the results also elaborate the phenomenon of the small probability overestimate contrast to the high probability underestimate of the delay probability. |
Author | Zhou, Xi-Zhao Yu, Yao |
Author_xml | – sequence: 1 givenname: Yao surname: Yu fullname: Yu, Yao email: yaoyu@shmtu.edu.cn organization: College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China – sequence: 2 givenname: Xi-Zhao surname: Zhou fullname: Zhou, Xi-Zhao organization: College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China |
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Cites_doi | 10.2307/1911053 10.3141/1879-07 10.1049/iet-its.2011.0224 10.4028/www.scientific.net/AMR.694-697.3361 10.3141/1725-10 10.1007/s11116-005-5710-y 10.1016/j.trc.2005.04.006 10.1006/jeth.2001.2858 10.1016/S0968-090X(02)00025-6 10.2307/3003600 |
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Keywords | expected utility choice behavior uncertain environment |
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References | Dia (bib0030) 2002; 10 Lam (bib0045) 2000; 1725 Ben-Elia, Shiftan (bib0020) 2010; 44 Avineri, Prashker (bib0015) 2005; 13 Palma, Picard (bib0065) 2005; 39 Yu, Yang, Yu, Jiang (bib0035) 2013 March (bib0060) 1978 Avineri, Prashker (bib0005) 2006; 33 Gilboa, Schmeidler, Wakker (bib0040) 2002; 105 Mark, Sadek (bib0050) 2004; 1879 Yang, Fan, Bai (bib0075) 2013; 694 Bie, Wang, Qu (bib0025) 2013; 7 Mark, Sadek (bib0055) 2004; 1879 Avineri, Prashker (bib0010) 2005; 13 Schmeidler (bib0070) 1989 Schmeidler (10.1016/j.proeng.2016.01.257_bib0070) 1989 March (10.1016/j.proeng.2016.01.257_bib0060) 1978 Yang (10.1016/j.proeng.2016.01.257_bib0075) 2013; 694 Avineri (10.1016/j.proeng.2016.01.257_bib0005) 2006; 33 Avineri (10.1016/j.proeng.2016.01.257_bib0010) 2005; 13 Mark (10.1016/j.proeng.2016.01.257_bib0050) 2004; 1879 Avineri (10.1016/j.proeng.2016.01.257_bib0015) 2005; 13 Bie (10.1016/j.proeng.2016.01.257_bib0025) 2013; 7 Lam (10.1016/j.proeng.2016.01.257_bib0045) 2000; 1725 Palma (10.1016/j.proeng.2016.01.257_bib0065) 2005; 39 Yu (10.1016/j.proeng.2016.01.257_bib0035) 2013 Dia (10.1016/j.proeng.2016.01.257_bib0030) 2002; 10 Gilboa (10.1016/j.proeng.2016.01.257_bib0040) 2002; 105 Ben-Elia (10.1016/j.proeng.2016.01.257_bib0020) 2010; 44 Mark (10.1016/j.proeng.2016.01.257_bib0055) 2004; 1879 |
References_xml | – start-page: 571 year: 1989 end-page: 587 ident: bib0070 article-title: Subjective probability and expected utility without additivity publication-title: Econometrica: Journal of the Econometric Society, p – volume: 1879 start-page: 51 year: 2004 end-page: 58 ident: bib0055 article-title: Learning systems for predicting experiential travel times in the presence of incidents: insights and lessons learned publication-title: Transportation Research Record: Journal of the Transportation Research Board – volume: 1725 start-page: 71 year: 2000 end-page: 78 ident: bib0045 article-title: Route and scheduling choice under travel time uncertainty publication-title: Transportation Research Record: Journal of the Transportation Research Board – volume: 13 start-page: 157 year: 2005 end-page: 183 ident: bib0015 article-title: Sensitivity to travel time variability: travelers’ learning perspective publication-title: Transportation Research Part C: Emerging Technologies – volume: 7 start-page: 28 year: 2013 end-page: 35 ident: bib0025 article-title: Modelling correlation degree between two adjacent signalised intersections for dynamic subarea partition publication-title: IET Intelligent Transport Systems – start-page: 587 year: 1978 end-page: 608 ident: bib0060 article-title: Bounded rationality, ambiguity, and the engineering of choice publication-title: The Bell Journal of Economics – volume: 33 start-page: 393 year: 2006 end-page: 408 ident: bib0005 article-title: The impact of travel time information on travelers’ learning under uncertainty publication-title: Transportation – volume: 10 start-page: 331 year: 2002 end-page: 349 ident: bib0030 article-title: An agent-based approach to modelling driver route choice behaviour under the influence of real-time information publication-title: Transportation Research Part C: Emerging Technologies – volume: 694 start-page: 3361 year: 2013 end-page: 3365 ident: bib0075 article-title: A Heuristic Algorithm to Study the Influence of Road Preference on Network Capacity publication-title: Advanced Materials Research – volume: 44 start-page: 249 year: 2010 end-page: 264 ident: bib0020 article-title: Which road do I take?. A learning-based model of route-choice behavior with real-time information publication-title: Transportation Research Part A: Policy and Practice – volume: 13 start-page: 157 year: 2005 end-page: 183 ident: bib0010 article-title: Sensitivity to travel time variability: travelers’ learning perspective publication-title: Transportation Research Part C: Emerging Technologies – start-page: 2013 year: 2013 ident: bib0035 article-title: Research on large-scale road network partition and route search method combined with traveler preferences publication-title: Mathematical Problems in Engineering – volume: 1879 start-page: 51 year: 2004 end-page: 58 ident: bib0050 article-title: Learning systems for predicting experiential travel times in the presence of incidents: insights and lessons learned publication-title: Transportation Research Record: Journal of the Transportation Research Board – volume: 39 start-page: 295 year: 2005 end-page: 324 ident: bib0065 article-title: Route choice decision under travel time uncertainty publication-title: Transportation Research Part A: Policy and Practice – volume: 105 start-page: 483 year: 2002 end-page: 502 ident: bib0040 article-title: Utility in case-based decision theory publication-title: Journal of Economic Theory – volume: 44 start-page: 249 issue: 4 year: 2010 ident: 10.1016/j.proeng.2016.01.257_bib0020 article-title: Which road do I take?. A learning-based model of route-choice behavior with real-time information publication-title: Transportation Research Part A: Policy and Practice – start-page: 571 year: 1989 ident: 10.1016/j.proeng.2016.01.257_bib0070 article-title: Subjective probability and expected utility without additivity publication-title: Econometrica: Journal of the Econometric Society, p doi: 10.2307/1911053 – volume: 1879 start-page: 51 issue: 1 year: 2004 ident: 10.1016/j.proeng.2016.01.257_bib0055 article-title: Learning systems for predicting experiential travel times in the presence of incidents: insights and lessons learned publication-title: Transportation Research Record: Journal of the Transportation Research Board doi: 10.3141/1879-07 – volume: 7 start-page: 28 issue: 1 year: 2013 ident: 10.1016/j.proeng.2016.01.257_bib0025 article-title: Modelling correlation degree between two adjacent signalised intersections for dynamic subarea partition publication-title: IET Intelligent Transport Systems doi: 10.1049/iet-its.2011.0224 – volume: 39 start-page: 295 issue: 4 year: 2005 ident: 10.1016/j.proeng.2016.01.257_bib0065 article-title: Route choice decision under travel time uncertainty publication-title: Transportation Research Part A: Policy and Practice – volume: 694 start-page: 3361 year: 2013 ident: 10.1016/j.proeng.2016.01.257_bib0075 article-title: A Heuristic Algorithm to Study the Influence of Road Preference on Network Capacity publication-title: Advanced Materials Research doi: 10.4028/www.scientific.net/AMR.694-697.3361 – volume: 1725 start-page: 71 issue: 1 year: 2000 ident: 10.1016/j.proeng.2016.01.257_bib0045 article-title: Route and scheduling choice under travel time uncertainty publication-title: Transportation Research Record: Journal of the Transportation Research Board doi: 10.3141/1725-10 – volume: 33 start-page: 393 issue: 4 year: 2006 ident: 10.1016/j.proeng.2016.01.257_bib0005 article-title: The impact of travel time information on travelers’ learning under uncertainty publication-title: Transportation doi: 10.1007/s11116-005-5710-y – volume: 13 start-page: 157 issue: 2 year: 2005 ident: 10.1016/j.proeng.2016.01.257_bib0010 article-title: Sensitivity to travel time variability: travelers’ learning perspective publication-title: Transportation Research Part C: Emerging Technologies doi: 10.1016/j.trc.2005.04.006 – volume: 105 start-page: 483 issue: 2 year: 2002 ident: 10.1016/j.proeng.2016.01.257_bib0040 article-title: Utility in case-based decision theory publication-title: Journal of Economic Theory doi: 10.1006/jeth.2001.2858 – start-page: 2013 year: 2013 ident: 10.1016/j.proeng.2016.01.257_bib0035 article-title: Research on large-scale road network partition and route search method combined with traveler preferences publication-title: Mathematical Problems in Engineering – volume: 1879 start-page: 51 issue: 1 year: 2004 ident: 10.1016/j.proeng.2016.01.257_bib0050 article-title: Learning systems for predicting experiential travel times in the presence of incidents: insights and lessons learned publication-title: Transportation Research Record: Journal of the Transportation Research Board doi: 10.3141/1879-07 – volume: 10 start-page: 331 issue: 5 year: 2002 ident: 10.1016/j.proeng.2016.01.257_bib0030 article-title: An agent-based approach to modelling driver route choice behaviour under the influence of real-time information publication-title: Transportation Research Part C: Emerging Technologies doi: 10.1016/S0968-090X(02)00025-6 – volume: 13 start-page: 157 issue: 2 year: 2005 ident: 10.1016/j.proeng.2016.01.257_bib0015 article-title: Sensitivity to travel time variability: travelers’ learning perspective publication-title: Transportation Research Part C: Emerging Technologies doi: 10.1016/j.trc.2005.04.006 – start-page: 587 year: 1978 ident: 10.1016/j.proeng.2016.01.257_bib0060 article-title: Bounded rationality, ambiguity, and the engineering of choice publication-title: The Bell Journal of Economics doi: 10.2307/3003600 |
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Title | Route Choice Behavior Analysis with Unexpected Delay Information |
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