An observed traffic pattern in long freeway queues |
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| Affiliation: | 1. Department of Civil and Environmental Engineering, Institute of Transportation Studies, University of California, 109 McLaughlin Hall, Berkeley, CA 94720, USA;2. The Institute of Transportation Studies, University of California, 109 McLaughlin Hall, Berkeley, CA 94720, USA;1. C2TN, Instituto Superior Técnico, Universidade de Lisboa, E.N. 10 (km 139.7), 2695-066 Bobadela, LRS, Portugal;2. CICECO & Departamento de Engenharia de Materiais e Cerâmica, Universidade de Aveiro, Campus de Santiago, 3810-193 Aveiro, Portugal;3. REQUIMTE/CQFB, Departamento de Química, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal;4. Wigner Research Centre for Physics, Institute for Solid State Physics and Optics, PO Box 49, 1525 Budapest, Hungary;5. Gedeon Richter LTD., PO Boksz. 27, H-1475 Budapest, Hungary;1. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji University, 4800 Cao’an Road, Shanghai 201804, China;2. Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, 32816-2450, United States;1. School of Engineering Science, University of Science and Technology of China, Hefei, Anhui 230026, China;2. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;3. Department of Civil and Env. Engineering, University of California, Davis, USA;4. Institute of Systems Engineering, College of Management and Economics, Tianjin University, Tianjin 300072, China;1. National Key Laboratory of Air Traffic Flow Management, College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Jiangjun Road #29, Nanjing 211106, China;2. Safe Transportation Research & Education Center, Institute of Transportation Studies, UC Berkeley, 2614 Dwight Way, Mail Code #7374, Berkeley, CA 94720-7374, United States |
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| Abstract: | A simple exercise in data analysis showed that, in queued traffic, a well-defined relation exists between the flow on a homogeneous freeway segment and the segment’s vehicle accumulation. The exercise consisted of constructing cumulative vehicle arrival curves to measure the flows and densities on multiple segments of a queued freeway. At this particular site, each interchange enveloped by the queue exhibited a higher on-ramp flow than off-ramp flow and as a consequence, motorists encountered a steady improvement in traffic conditions (e.g., reduced densities and increased speeds) as they traveled from the tail of the queue to the bottleneck. This finding has practical implications for freeway traffic planning and management. Perhaps most notably, it suggests that the first-order hydrodynamic theory of traffic is adequate for describing some of the more relevant features of queue evolution. This and other practical issues are discussed in some detail. |
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