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Methods for creating bus timetables
Institution:1. Department of Enterprise Engineering, University of Rome Tor Vergata, Rome, Italy;2. Dipartimento di Ingegneria Civile ed Ingegneria Informatica, University of Rome Tor Vergata, Rome, Italy;1. Department of Finance and Investment, Sun Yat-Sen University, Bldg 388, 135 Xingangxi Rd, Guangzhou 510275, China;2. Department of Civil and Urban Engineering, New York University, 6 Metro Tech Center, Brooklyn, NY 11201, USA;3. Department of Civil and Environmental Engineering, University of Maryland, 1173 Glenn Martin Hall, College Park, MD 20742, USA;1. Department of Transport and Planning, Delft University of Technology, the Netherlands;2. Department of Transportation Systems, Cracow University of Technology, Poland;3. Group of Machine Learning Research, Jagiellonian University, Poland;4. Transport Research Institute, Edinburgh Napier University, United Kingdom;1. Transportation Research Center, Department of Civil and Environmental Engineering,University of Auckland, Auckland,1142 New Zealand;2. Faculty of Civil and Environmental Engineering, Technion-Israel Institute of Technology, Haifa, 32000 Israel;1. University of California, Berkeley, CA 94707, United States;2. University of Illinois, Urbana-Champaign, IL 61820, United States
Abstract:This paper provides alternative methods for constructing bus timetables using passenger load data. It attempts to fulfill six major objectives: to evaluate alternative timetables in terms of required resources; to improve the correspondence of bus departure times with passenger demand; to provide alternative timetables for the schedulers' use in specific scheduling situations; to permit direct bus frequency changes for possible exceptions (known to the schedulers) which do not rely on passenger demand data; to allow the construction of timetables with headway smoothing techniques (similar to that performed manually); and to integrate different headway setting and different timetable construction methods. The procedures developed set the bus departure times for the case of evenly spaced headways and for the case of allowing the headways to be unevenly spaced. In the first case, smoothing techniques are developed in the transition segments between adjacent time periods. In the second case, the departure times are shifted so as to obtain uniform average loads instead of even headways. The final product of the research consists of a set of computer programs which are tested on a heavy bus line in Los Angeles.
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