A dynamic cordon pricing scheme combining the Macroscopic Fundamental Diagram and an agent-based traffic model
► Develop a new methodology for optimal cordon pricing schemes with a macroscopic approach. ► Combine MFD with an agent-based simulator to account for heterogeneity in population characteristics. ► Significant improvements for the travelers inside the cordon and a negligible penalty for the ones out...
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Veröffentlicht in: | Transportation research. Part A, Policy and practice Policy and practice, 2012-10, Vol.46 (8), p.1291-1303 |
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creator | Zheng, Nan Waraich, Rashid A. Axhausen, Kay W. Geroliminis, Nikolas |
description | ► Develop a new methodology for optimal cordon pricing schemes with a macroscopic approach. ► Combine MFD with an agent-based simulator to account for heterogeneity in population characteristics. ► Significant improvements for the travelers inside the cordon and a negligible penalty for the ones outside. ►Non-work-related (NWA) tend to change activity time to avoid tolls, while work trips are more stable.
Pricing is considered an effective management policy to reduce traffic congestion in transportation networks. In this paper we combine a macroscopic model of traffic congestion in urban networks with an agent-based simulator to study congestion pricing schemes. The macroscopic model, which has been tested with real data in previous studies, represents an accurate and robust approach to model the dynamics of congestion. The agent-based simulator can reproduce the complexity of travel behavior in terms of travelers’ choices and heterogeneity. This integrated approach is superior to traditional pricing schemes. On one hand, traffic simulators (including car-following, lane-changing and route choice models) consider travel behavior, i.e. departure time choice, inelastic to the level of congestion. On the other hand, most congestion pricing models utilize supply models insensitive to demand fluctuations and non-stationary conditions. This is not consistent with the physics of traffic and the dynamics of congestion. Furthermore, works that integrate the above features in pricing models are assuming deterministic and homogeneous population characteristics. In this paper, we first demonstrate by case studies in Zurich urban road network, that the output of a agent-based simulator is consistent with the physics of traffic flow dynamics, as defined by a Macroscopic Fundamental Diagram (MFD). We then develop and apply a dynamic cordon-based congestion pricing scheme, in which tolls are controlled by an MFD. And we investigate the effectiveness of the proposed pricing scheme. Results show that by applying such a congestion pricing, (i) the savings of travel time at both aggregated and disaggregated level outweigh the costs of tolling, (ii) the congestion inside the cordon area is eased while no extra congestion is generated in the neighbor area outside the cordon, (iii) tolling has stronger impact on leisure-related activities than on work-related activities, as fewer agents who perform work-related activities changed their time plans. Future work can apply the same |
doi_str_mv | 10.1016/j.tra.2012.05.006 |
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Pricing is considered an effective management policy to reduce traffic congestion in transportation networks. In this paper we combine a macroscopic model of traffic congestion in urban networks with an agent-based simulator to study congestion pricing schemes. The macroscopic model, which has been tested with real data in previous studies, represents an accurate and robust approach to model the dynamics of congestion. The agent-based simulator can reproduce the complexity of travel behavior in terms of travelers’ choices and heterogeneity. This integrated approach is superior to traditional pricing schemes. On one hand, traffic simulators (including car-following, lane-changing and route choice models) consider travel behavior, i.e. departure time choice, inelastic to the level of congestion. On the other hand, most congestion pricing models utilize supply models insensitive to demand fluctuations and non-stationary conditions. This is not consistent with the physics of traffic and the dynamics of congestion. Furthermore, works that integrate the above features in pricing models are assuming deterministic and homogeneous population characteristics. In this paper, we first demonstrate by case studies in Zurich urban road network, that the output of a agent-based simulator is consistent with the physics of traffic flow dynamics, as defined by a Macroscopic Fundamental Diagram (MFD). We then develop and apply a dynamic cordon-based congestion pricing scheme, in which tolls are controlled by an MFD. And we investigate the effectiveness of the proposed pricing scheme. Results show that by applying such a congestion pricing, (i) the savings of travel time at both aggregated and disaggregated level outweigh the costs of tolling, (ii) the congestion inside the cordon area is eased while no extra congestion is generated in the neighbor area outside the cordon, (iii) tolling has stronger impact on leisure-related activities than on work-related activities, as fewer agents who perform work-related activities changed their time plans. Future work can apply the same methodology to other network-based pricing schemes, such as area-based or distance-traveled-based pricing. Equity issues can be investigated more carefully, if provided with data such as income of agents. Value-of-time-dependent pricing schemes then can also be determined.</description><identifier>ISSN: 0965-8564</identifier><identifier>EISSN: 1879-2375</identifier><identifier>DOI: 10.1016/j.tra.2012.05.006</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Agent-based model ; Applied sciences ; Cordon pricing ; Dynamic pricing ; Exact sciences and technology ; Ground, air and sea transportation, marine construction ; Macroscopic Fundamental Diagram ; Road transportation and traffic ; Transportation planning, management and economics</subject><ispartof>Transportation research. Part A, Policy and practice, 2012-10, Vol.46 (8), p.1291-1303</ispartof><rights>2012 Elsevier Ltd</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c502t-6ea4792f0b47f2e07615329eea658bc07a9d52c78179d2736fd7095fe61c3a573</citedby><cites>FETCH-LOGICAL-c502t-6ea4792f0b47f2e07615329eea658bc07a9d52c78179d2736fd7095fe61c3a573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.tra.2012.05.006$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26173566$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Zheng, Nan</creatorcontrib><creatorcontrib>Waraich, Rashid A.</creatorcontrib><creatorcontrib>Axhausen, Kay W.</creatorcontrib><creatorcontrib>Geroliminis, Nikolas</creatorcontrib><title>A dynamic cordon pricing scheme combining the Macroscopic Fundamental Diagram and an agent-based traffic model</title><title>Transportation research. Part A, Policy and practice</title><description>► Develop a new methodology for optimal cordon pricing schemes with a macroscopic approach. ► Combine MFD with an agent-based simulator to account for heterogeneity in population characteristics. ► Significant improvements for the travelers inside the cordon and a negligible penalty for the ones outside. ►Non-work-related (NWA) tend to change activity time to avoid tolls, while work trips are more stable.
Pricing is considered an effective management policy to reduce traffic congestion in transportation networks. In this paper we combine a macroscopic model of traffic congestion in urban networks with an agent-based simulator to study congestion pricing schemes. The macroscopic model, which has been tested with real data in previous studies, represents an accurate and robust approach to model the dynamics of congestion. The agent-based simulator can reproduce the complexity of travel behavior in terms of travelers’ choices and heterogeneity. This integrated approach is superior to traditional pricing schemes. On one hand, traffic simulators (including car-following, lane-changing and route choice models) consider travel behavior, i.e. departure time choice, inelastic to the level of congestion. On the other hand, most congestion pricing models utilize supply models insensitive to demand fluctuations and non-stationary conditions. This is not consistent with the physics of traffic and the dynamics of congestion. Furthermore, works that integrate the above features in pricing models are assuming deterministic and homogeneous population characteristics. In this paper, we first demonstrate by case studies in Zurich urban road network, that the output of a agent-based simulator is consistent with the physics of traffic flow dynamics, as defined by a Macroscopic Fundamental Diagram (MFD). We then develop and apply a dynamic cordon-based congestion pricing scheme, in which tolls are controlled by an MFD. And we investigate the effectiveness of the proposed pricing scheme. Results show that by applying such a congestion pricing, (i) the savings of travel time at both aggregated and disaggregated level outweigh the costs of tolling, (ii) the congestion inside the cordon area is eased while no extra congestion is generated in the neighbor area outside the cordon, (iii) tolling has stronger impact on leisure-related activities than on work-related activities, as fewer agents who perform work-related activities changed their time plans. Future work can apply the same methodology to other network-based pricing schemes, such as area-based or distance-traveled-based pricing. Equity issues can be investigated more carefully, if provided with data such as income of agents. Value-of-time-dependent pricing schemes then can also be determined.</description><subject>Agent-based model</subject><subject>Applied sciences</subject><subject>Cordon pricing</subject><subject>Dynamic pricing</subject><subject>Exact sciences and technology</subject><subject>Ground, air and sea transportation, marine construction</subject><subject>Macroscopic Fundamental Diagram</subject><subject>Road transportation and traffic</subject><subject>Transportation planning, management and economics</subject><issn>0965-8564</issn><issn>1879-2375</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9kE9v1DAQxS0EEkvhA3DzBYlL0rET24k4VYVSpCIucLZm7fHWq8RZ7CxSvz2OtuLIYTTS02_-vMfYewGtAKGvj-2asZUgZAuqBdAv2E4MZmxkZ9RLtoNRq2ZQun_N3pRyBIBeG7lj6Yb7p4RzdNwt2S-Jn3J0MR14cY80U1XnfUybsD4S_44uL8Utp8rfnZPHmdKKE_8c8ZBx5ph8LY6HKjd7LOR5_SuEis-Lp-ktexVwKvTuuV-xX3dfft7eNw8_vn67vXlonAK5NpqwN6MMsO9NkARGC9XJkQi1GvYODI5eSWcGYUYvTaeDNzCqQFq4DpXprtjHy95TXn6fqax2jsXRNGGi5VysADmAHCX0FRUXdHNWMgVbE5gxP1XIbtnao60e7JatBWVrtnXmw_N6LA6nkDG5WP4NSi1Mp_TGfbpwVL3-iZRtcZGSIx8zudX6Jf7nyl9MrI7k</recordid><startdate>20121001</startdate><enddate>20121001</enddate><creator>Zheng, Nan</creator><creator>Waraich, Rashid A.</creator><creator>Axhausen, Kay W.</creator><creator>Geroliminis, Nikolas</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7U2</scope><scope>C1K</scope></search><sort><creationdate>20121001</creationdate><title>A dynamic cordon pricing scheme combining the Macroscopic Fundamental Diagram and an agent-based traffic model</title><author>Zheng, Nan ; Waraich, Rashid A. ; Axhausen, Kay W. ; Geroliminis, Nikolas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c502t-6ea4792f0b47f2e07615329eea658bc07a9d52c78179d2736fd7095fe61c3a573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Agent-based model</topic><topic>Applied sciences</topic><topic>Cordon pricing</topic><topic>Dynamic pricing</topic><topic>Exact sciences and technology</topic><topic>Ground, air and sea transportation, marine construction</topic><topic>Macroscopic Fundamental Diagram</topic><topic>Road transportation and traffic</topic><topic>Transportation planning, management and economics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zheng, Nan</creatorcontrib><creatorcontrib>Waraich, Rashid A.</creatorcontrib><creatorcontrib>Axhausen, Kay W.</creatorcontrib><creatorcontrib>Geroliminis, Nikolas</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Transportation research. 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Part A, Policy and practice</jtitle><date>2012-10-01</date><risdate>2012</risdate><volume>46</volume><issue>8</issue><spage>1291</spage><epage>1303</epage><pages>1291-1303</pages><issn>0965-8564</issn><eissn>1879-2375</eissn><abstract>► Develop a new methodology for optimal cordon pricing schemes with a macroscopic approach. ► Combine MFD with an agent-based simulator to account for heterogeneity in population characteristics. ► Significant improvements for the travelers inside the cordon and a negligible penalty for the ones outside. ►Non-work-related (NWA) tend to change activity time to avoid tolls, while work trips are more stable.
Pricing is considered an effective management policy to reduce traffic congestion in transportation networks. In this paper we combine a macroscopic model of traffic congestion in urban networks with an agent-based simulator to study congestion pricing schemes. The macroscopic model, which has been tested with real data in previous studies, represents an accurate and robust approach to model the dynamics of congestion. The agent-based simulator can reproduce the complexity of travel behavior in terms of travelers’ choices and heterogeneity. This integrated approach is superior to traditional pricing schemes. On one hand, traffic simulators (including car-following, lane-changing and route choice models) consider travel behavior, i.e. departure time choice, inelastic to the level of congestion. On the other hand, most congestion pricing models utilize supply models insensitive to demand fluctuations and non-stationary conditions. This is not consistent with the physics of traffic and the dynamics of congestion. Furthermore, works that integrate the above features in pricing models are assuming deterministic and homogeneous population characteristics. In this paper, we first demonstrate by case studies in Zurich urban road network, that the output of a agent-based simulator is consistent with the physics of traffic flow dynamics, as defined by a Macroscopic Fundamental Diagram (MFD). We then develop and apply a dynamic cordon-based congestion pricing scheme, in which tolls are controlled by an MFD. And we investigate the effectiveness of the proposed pricing scheme. Results show that by applying such a congestion pricing, (i) the savings of travel time at both aggregated and disaggregated level outweigh the costs of tolling, (ii) the congestion inside the cordon area is eased while no extra congestion is generated in the neighbor area outside the cordon, (iii) tolling has stronger impact on leisure-related activities than on work-related activities, as fewer agents who perform work-related activities changed their time plans. Future work can apply the same methodology to other network-based pricing schemes, such as area-based or distance-traveled-based pricing. Equity issues can be investigated more carefully, if provided with data such as income of agents. Value-of-time-dependent pricing schemes then can also be determined.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.tra.2012.05.006</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agent-based model Applied sciences Cordon pricing Dynamic pricing Exact sciences and technology Ground, air and sea transportation, marine construction Macroscopic Fundamental Diagram Road transportation and traffic Transportation planning, management and economics |
title | A dynamic cordon pricing scheme combining the Macroscopic Fundamental Diagram and an agent-based traffic model |
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