Effect of advanced traveler information systems and road pricing in a network with non-recurrent congestion

被引:23
|
作者
Fernandez L, J. Enrique [1 ]
de Cea Ch, Joaquin [1 ]
German Valverde, G. [2 ]
机构
[1] Pontificia Univ Catolica Chile, Dept Ingn Transporte, Santiago 22, Chile
[2] Univ Costa Rica, Lab Nacl Mat & Modelos Estruct, San Jose, Costa Rica
关键词
Advanced transport information system; Road pricing; Optimum tolls; Non-recurrent congestion; ATIS market penetration; EFFICIENCY; MARKET; USAGE;
D O I
10.1016/j.tra.2008.12.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
The effect of the application of advanced transport information system (ATIS) and road pricing is studied in a transportation system under non-recurrent congestion. A stochastic network deterministic user equilibrium model (SNDUE) with elastic demand is formulated and used to evaluate the welfare and private impacts of different market penetrations of ATIS, together with road pricing for a simple network. Both marginal first-best road pricing and a second-best fixed road pricing are considered. The incentives of private users to use ATIS are analyzed and the characteristics of optimum tolls as a function of ATIS market penetration are shown. We conclude that ATIS is an efficient and necessary tool to reduce the effects of non-recurrent incidents in a transportation network, especially when non-recurrent congestion causes a significant deterioration of operational conditions of the network. If the impact of non-recurrent incidents on free flow costs is small or is reduced only to congestion effects, the use of road pricing would be more efficient. Social benefits obtained when jointly implementing ATIS and road pricing are practically the same whether first-best or second-best road pricing is used. Considering the private costs perceived by the network users, and the benefits experienced by equipped users, the maximum level of market penetration achieved could be limited because private benefits disappear after certain market penetration is obtained. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:481 / 499
页数:19
相关论文
共 50 条
  • [31] A Framework for Dynamic Advanced Traveler Information Systems
    Carrese, Filippo
    Carrese, Stefano
    Patella, Sergio Maria
    Petrelli, Marco
    Sportiello, Simone
    FUTURE TRANSPORTATION, 2021, 1 (03): : 590 - 600
  • [32] Decision Model for Justifying the Benefits of Detour Operation under Non-Recurrent Congestion
    Liu, Yue
    Kim, Woon
    Chang, Gang-Len
    JOURNAL OF TRANSPORTATION ENGINEERING, 2013, 139 (01) : 40 - 49
  • [33] Methodology to Identify On-Ramps for Metering with Consideration of System-Wide Recurrent and Non-Recurrent Congestion
    Fartash, Homa
    Hadi, Mohammed
    Ponnaluri, Raj
    TRANSPORTATION RESEARCH RECORD, 2018, 2672 (14) : 39 - 49
  • [34] A multimodal transport network model and efficient algorithms for building advanced traveler information systems
    Dib, Omar
    Manier, Marie-Ange
    Moalic, Laurent
    Caminada, Alexandre
    19TH EURO WORKING GROUP ON TRANSPORTATION MEETING (EWGT2016), 2017, 22 : 134 - 143
  • [35] Dynamic drivers' behavior under the effect of advanced traveler information and guidance systems
    Li, J
    Peng, GX
    2001 INTERNATIONAL CONFERENCES ON INFO-TECH AND INFO-NET PROCEEDINGS, CONFERENCE A-G: INFO-TECH & INFO-NET: A KEY TO BETTER LIFE, 2001, : D95 - D100
  • [36] A combined traveler behavior and system performance model with advanced traveler information systems
    Al-Deek, HM
    Khattak, AJ
    Thananjeyan, P
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 1998, 32 (07) : 479 - 493
  • [37] A data mining based approach for travel time prediction in freeway with non-recurrent congestion
    Li, Chi-Sen
    Chen, Mu-Chen
    NEUROCOMPUTING, 2014, 133 : 74 - 83
  • [38] Congestion pricing with Genetic Algorithm for delay reduction on urban road network
    AlKheder, Sharaf
    Al-Rashidi, Ahmed
    INTERNATIONAL JOURNAL OF URBAN SCIENCES, 2021, 25 (02) : 178 - 192
  • [39] A non-recurrent low -complexity neural network for the speech prediction
    Faiedh, Hassene
    Gafsi, Zied
    Mhiri, Mongia
    Besbes, Kamel
    Advances in Neural Networks and Applications, 2001, : 53 - 57
  • [40] Design of Signal Setting and Advanced Traveler Information Systems
    Bifulco, Gennaro Nicola
    Cantarella, Giulio Erberto
    Simonelli, Fulvio
    JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 18 (01) : 30 - 40