System dynamics of urban traffic based on its parking-related-states

The urban parking and the urban traffic systems are essential components of the overall urban transportation structure. The short-term interactions between these two systems can be highly significant and influential to their individual performance. The urban parking system, for example, can affect the searching-for-parking traffic, influencing not only overall travel speeds in the network (traffic performance), but also total driven distance (environmental conditions). In turn, the traffic performance can also affect the time drivers spend searching for parking, and ultimately, parking usage. In this study, we propose a methodology to model macroscopically such interactions and evaluate their effects on urban congestion.

[1]  M. Gallo,et al.  A multilayer model to simulate cruising for parking in urban areas , 2011 .

[2]  Jin Cao,et al.  Methodology to Evaluate Cost and Accuracy of Parking Patrol Surveys , 2013 .

[3]  Rashid A. Waraich,et al.  Modelling parking search behaviour with an agent-based approach , 2012 .

[4]  Adam Millard-Ball,et al.  Is the Curb 80% Full or 20% Empty? Assessing the Impacts of San Francisco's Parking Pricing Experiment , 2014 .

[5]  Kari Lautso.  Mathematical relationships among parking characteristics and revising and reduction methods of parking field survey information , 1981 .

[6]  D. Shoup.  Cruising for Parking , 2006 .

[7]  Carlos F. Daganzo,et al.  Urban Gridlock: Macroscopic Modeling and Mitigation Approaches , 2007 .

[8]  Jin Cao,et al.  Generalized Effects of On-Street Parking Maneuvers on the Performance of Nearby Signalized Intersections , 2015 .

[9]  Stephen D. Boyles,et al.  Parking Search Equilibrium on a Network , 2015 .

[10]  Nikolaos Geroliminis,et al.  Cruising-for-parking in congested cities with an MFD representation , 2015 .

[11]  Kay W. Axhausen,et al.  Effectiveness of the parking guidance information system in Frankfurt am Main , 1994 .

[12]  Monica Menendez,et al.  An Efficient Sensitivity Analysis Approach for Computationally Expensive Microscopic Traffic Simulation Models , 2014 .

[13]  Anne-Kathrin Bodenbender,et al.  A CGE-Model of Parking in Zurich: Implementation and Policy Tests , 2013 .

[14]  Hjp Harry Timmermans,et al.  GPS data and car drivers’ parking search behavior in the City of Turnhout, Belgium , 2015 .

[15]  N. Geroliminis,et al.  Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings - eScholarship , 2007 .

[16]  N. Geroliminis,et al.  An analytical approximation for the macropscopic fundamental diagram of urban traffic , 2008 .

[17]  Jin Cao,et al.  The effects of on-street parking on the service rate of nearby intersections , 2016 .

[18]  Michael A. P. Taylor,et al.  A REVIEW OF URBAN CAR PARKING MODELS , 1991 .

[19]  B. P. Feeney,et al.  A review of the impact of parking policy measures on travel demand , 1989 .

[20]  Itzhak Benenson,et al.  PARKAGENT: An agent-based model of parking in the city , 2008, Comput. Environ. Urban Syst..

[21]  Richard Arnott,et al.  The Stability of Downtown Parking and Traffic Congestion , 2009, SSRN Electronic Journal.