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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
May, A; Liu, R; Shepherd, S (2015)
Publisher: Edward Elgar
Languages: English
Types: Part of book or chapter of book
Subjects:
Every driver will have experienced the situation in which, as additional traffic joins a road, speeds fall, queues form and travel times become longer and more predictable. Engineers and traffic scientists have devoted considerable effort to understanding how such conditions arise, and how the key parameters of traffic flow, traffic concentration (or density) and traffic speed are related on individual roads (links) and in networks. This relationship, often referred to as the fundamental diagram of traffic, can be derived from first principles and from empirical evidence. Economists and planners are more concerned with how to avoid the onset of congestion or to reduce its impact. This can be achieved in a range of ways, including enhancing capacity and managing the network better (both supply-side measures) and pricing, regulation and the provision of alternatives (which can be thought of as demand-side measures). Pricing and investment in roads are considered further in Chapter 12. In analysing them, economists need to understand both how the costs of travel are affected by travel demand (the supply curve) and how the demand for travel is influenced by the costs of travel (the demand curve).
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    • Arnott, R., de Palma, A. and Lindsey, R. (1990), E'conomics of a bottleneck Urban Economics, 27, 111 130.
    • Bell, M.G.H. (1983), T'he estimation of an origin destination matrix from traffic counts Transportation Science, 17 (2), 198 217.
    • Ben-Akiva, M. and Morikawa, T. (1990), E'stimation of travel demand models from multiple data sources , in Kosji, M. (ed.), Proceedings of the 11th International Symposium on Transportation and Traffic Theory, Yokohama, July 1990, pp. 461-476.
    • Bird R.N. (2001) J'unction design , in Button, K.J. and Hensher, D.A. (eds), Handbook of Transport Systems and Traffic Control, Oxford: Elsevier, pp. 399 412.
    • Daganzo, C.F. (2007), U'rban gridlock: macroscopic modelling and mitigation approaches Transportation Research Part B, 31 (1), 49 62.
    • Duncan, N.C (1979), A'further look at speed/flow (10), 482 483.
    • Edie, L.C. (1961), C'ar following and steady state theory for non-congested traffic Operations Research, 9, 66 76.
    • ' A reformulation of the theory of optimal congestion taxes Journal of Transport Economics and Policy, 15, 217032.
    • Evans, A.W. (1992), R'oad congestion: the diagrammatic analysis Journal of Political Economy, 100, 211 217.
    • Geroliminis, N. and Daganzo, C.F. (2007), M'acroscopic modelling of traffic in cities , in TRB 86th Annual Meeting, #07-0413m Washington, DC.
    • Geroliminis, N. and Daganzo, C.F. (2008), E'xistence of urban-scale macroscopic fundamental diagrams: some experimental findings Transportation Research Part B, 42, 759 770.
    • Geroliminis, N. and Levinson, D.M. (2009), C'ordon pricing consistent with the physics of overcrowding , in William, L., Wong, S.C. and Lo, H.K. (eds), Transportation and Traffic Flow Theory, pp. 219 240.
    • Godfrey, J.W. (1969), T'he mechanism of a road network Traffic Engineering and Control, 11 (7).
    • Greenberg, H. (1959) ' Operational Research, 7 (1), 79 85.
    • Greenshields, B.D. (1934), A'study of traffic capacity Proceedings of the Highway Research Board, 14, 448 477.
    • Hall, F.L. and Montgomery, F.O. (1993) T'he investigation of an alternative interpretation of the speed fWlow relationship on UK motorways Traffic Engineering and Control, 34 (9), 420 425.
    • Hau, T.D. (1998), C'ongestion pricing and road investment Button, K.J. and Verhoef, E.T. (eds), Road Pricing, Traffic Congestion and the Environment: Issues of Efficiency and Social Feasibility, Cheltenham, UK and Lyme, NH, USA: Edward Elgar Publishing, pp. 39 78.
    • HCM (2000) Highway Capacity Manual. Transportation Research Board.
    • Herman, R. and Ardekani, S.A. (1984), C'haracterizing traffic conditions in urban areas Transportation Science, 18 (2), 101 40.
    • Herman, R. and Prigogine, I. (1979), A'two-fluid approach to town traffic Science, 204, 148 151.
    • Vickrey, W. (1969), C'ongestion theory and transport investment American Economic Review, 59, 251 260.
    • Walters, A.A. (1961), T'he theory and measurement of private and social cost of highway congestion Econometrica, 29, 676 699.
    • Wardrop, J.G. (1968), J'ourney speed Traffic Engineering and Control, 9 (11), 528 532.
    • ' Environment and Planning, 9A, 285-344.
    • Zahavi, Y. (1972) T'raffic performance evaluation of road networks by the -relationship Parts 1 and 2, Traffic Engineering & Control, 14 (5 and 6), 228 231 and 292 293.
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