Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Department of Industrial & Systems Engineering, NUS, Singapore SEMINAR on Equilibrium in the bottleneck model with large and small users Speaker: Professor Robin Lindsey, CN Chair in Transportation and International Logistics, Operations and Logistics Division, Sauder School of Business, University of British Columbia Date: Thursday, 19 January 2017 Time: 10:00 am to 11:30 am Venue: EA-06-02, Faculty of Engineering, NUS Abstract: In most of the literature on traffic congestion it is assumed that users are “small” in the sense that each one controls a negligible fraction of total traffic. However, large users are often prevalent. These include major interurban freight shippers, urban goods delivery companies, and postal services. Furthermore, major employers such as government departments and large corporations can add substantially to traffic on certain roads at peak times. Large users have an incentive to internalize the congestion delays their own vehicles impose on each other, and it is natural to consider how this affects their travel-related decisions. Using the Bottleneck Model, Silva et al. (2016)* have recently shown that a pure strategy Nash equilibrium (PSNE) in departure times may not exist. Candidate PSNE are upset because large users can gain by rescheduling a mass of vehicles at a particular instant in order to “hog” bottleneck capacity. Silva et al. (2016) restrict attention to two large users controlling identical vehicles with linear trip-timing preferences. In this paper we extend consideration to settings with both large and small users and more general preferences. We show that PSNE can be restored when the model is generalized in any one of three ways: (1) when vehicles differ in their preferred arrival times, (2) when large users are constrained in the rate at which their vehicle fleets can depart, and (3) when large users have altruistic preferences (i.e., they attach some weight to the trip costs of other users). In each case, the generalization weakens the incentive or ability of large users to reschedule vehicles en masse. In addition to these results we show that selfinternalization of congestion can make a large user worse off, other users worse off, and users in aggregate worse off. Thus, paradoxically, self-internalization can be counterproductive. * Silva, H., R. Lindsey, A. de Palma and V. van den Berg (2016), On the existence and uniqueness of equilibrium in the Bottleneck Model with atomic users, Transportation Science, Published online in Articles in Advance on August 11. Biography: Robin Lindsey holds the CN Chair in Transportation and International Logistics at the Sauder School of Business, University of British Columbia. His research interests include traffic congestion, road pricing, financing roads and other transportation infrastructure, urban public transportation and advanced traveler information systems. He is a founding board member and immediate past president of the International Transportation Economics Association (http://www.iteaweb.org), an Associate Editor of Transportation Research Part B and Transportmetrica, and a member of the editorial boards of Economics of Transportation, International Journal of Sustainable Transportation, Journal of Urban Economics, and Transport Policy. He is also coeditor with André de Palma, Emile Quinet and Roger Vickerman of Handbook in Transport Economics published in 2011 by Edward Elgar. Information: email: [email protected] Fax: 6777-1434