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EFFECT OF INCORPORATING INTERSECTION DELAYS ON ROUTE ASSIGNMENTS IN AN URBAN ROAD NETWORK

Master Theses from JBPTITBPP / 2017-09-27 15:21:02
Oleh : Emil Ardiaman, S2 - Highway System Engineering
Dibuat : 2000-02-29, dengan 1 file

Keyword : incorporating intersection delays, route assignments, urban road network

Generally in assignment models, route choice is modelled with link-based flow-delay curves where the travel time on a link is assumed to be function of flow on that link. However, a number of studies have shown that in urban areas, cruising speeds on most roads are virtually independent of the flows. This is not to say that total travel times are independent of flows, but the main relationships between flows and delays occur at intersections, especially on road networks with short links. The inclusion of intersection delays in route assignment models was postulated to provide a more realistic model. This study analysed the effect of inclusion of intersection delays on several inelastic route assignment models, and identified the most appropriate assignment technique for the urban area. A study was conducted in the Bandung municipal area, on a network which comprised arterial, collector, and parts of local roads, including 132 modelled intersections. The route assignment models used were: All-or-Nothing(AoN), Pure Stochastic(PS), Deterministic User Equilibrium (DUE), and Stochastic User Equilibrium (SUE). The SATURN (Simulation and Assignment of Traffic to Urban Road Network) program package was used as an analysis tool for each route assignment model. Results of the study show a significant difference in flow distribution patterns between buffer networks (modelled without intersection delay) and simulation networks (modelled with intersection delay). Average absolute differences S(g) between both networks for each assignment method are in the range of 20-30%. If the intersection delay is taken to be a part of the total travel cost routeing, then the overall increase in cost is on average 12% in DUE and SUE assignment models, and nearly 45% in PS and AoN models. The equilibrium condition with stochastic effect on the buffer network was found to be the most appropriate assumption for assignment on the Bandung network. This is shown by comparison of modelled and observed flows, where SUE in buffer network models has the lowest S(g) value (38.43%). However, this technique prevails only where travel demand (OD matrix) is used on assigned flow and is based on traffic count data without consideration of delays at intersections.

Deskripsi Alternatif :

Generally in assignment models, route choice is modelled with link-based flow-delay curves where the travel time on a link is assumed to be function of flow on that link. However, a number of studies have shown that in urban areas, cruising speeds on most roads are virtually independent of the flows. This is not to say that total travel times are independent of flows, but the main relationships between flows and delays occur at intersections, especially on road networks with short links. The inclusion of intersection delays in route assignment models was postulated to provide a more realistic model. This study analysed the effect of inclusion of intersection delays on several inelastic route assignment models, and identified the most appropriate assignment technique for the urban area. A study was conducted in the Bandung municipal area, on a network which comprised arterial, collector, and parts of local roads, including 132 modelled intersections. The route assignment models used were: All-or-Nothing(AoN), Pure Stochastic(PS), Deterministic User Equilibrium (DUE), and Stochastic User Equilibrium (SUE). The SATURN (Simulation and Assignment of Traffic to Urban Road Network) program package was used as an analysis tool for each route assignment model. Results of the study show a significant difference in flow distribution patterns between buffer networks (modelled without intersection delay) and simulation networks (modelled with intersection delay). Average absolute differences S(g) between both networks for each assignment method are in the range of 20-30%. If the intersection delay is taken to be a part of the total travel cost routeing, then the overall increase in cost is on average 12% in DUE and SUE assignment models, and nearly 45% in PS and AoN models. The equilibrium condition with stochastic effect on the buffer network was found to be the most appropriate assumption for assignment on the Bandung network. This is shown by comparison of modelled and observed flows, where SUE in buffer network models has the lowest S(g) value (38.43%). However, this technique prevails only where travel demand (OD matrix) is used on assigned flow and is based on traffic count data without consideration of delays at intersections.

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