Analysis of congested networks
Analysis of congested networks
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Table of contents
- 1. Background
- 2. Objectives of the project
- 3. Deliverables; purpose, scope and findings
- 4. Micro-simulation: networks selected and tests performed
- 5. Conclusions from the project
- 6. Suggested issues for further research
- (1) More extensive examination of departure-time profiles and the influence of arrival-timeconstraints.
- (2) Further exploration of dynamic rescheduling and route-choice behaviour.
- (3) Investigation of higher levels of spatial distribution and the implications for O-Dbased supply curves.
- (4) Exploration of complex networks having shorter links, to generate backward-bendingperformance curves.
- (5) Treatment of costs for entering and leaving the network including entry-queues andsearching for parking places.
- (6) Incorporation of different journey-purposes and multiple user-classes (e.g. differentVOT), with different trip-patterns/profiles.
- (7) Inclusion of trip-specific costs (e.g. parking charges) and distance-related variablecosts and their impacts on demands.
- (8) Extension of modelling to include vehicle-occupancy and other non-endogenousresponses (i.e. shifts in mode, destination and frequency) to changes in trip-costs.
- (9) Examination of the influence of convergence criteria on the robustness of the micro-simulationresults.
- (10) Development of a more robust notation for different temporal, spatial and routedistributions.
- (11) Application and testing of other models, such as VISSIM and CONTRAM, notrequiring a prior speed/flow relationship.
- (12) Development of practical rules for determining appropriate levels of aggregation
- 7. References
- Annex A: 14 page extract from Deliverable No. 1
- 9th March 2001
- 1.3 Scope and purpose of this report
- 2.2 The process of interaction of demand and supply characteristics
- 2.3.2 Behavioural responses to congestion
- 2.3.3. Conversion of trips demanded to traffic loaded onto a road network
- 2.4.2 Functional Forms of Supply Relationships
- (i) Time (or cost) vs flow (or throughput) performance curves
- (ii) Unit cost per trip supply curves
- 3 Theoretical models of vehicle/network interaction
- 3.1 Overview
- 3.2 Single links
- 3.3 Network-wide analysis
- 3.3.2 Multiple links and modes
- 3.4 Route choice
- 3.5 Dynamic assignment of traffic
- 3.6 Departure time choice and arrival time constraints/penalties
- 4 Implementation of vehicle/network interaction models
- 4.1 Overview
- 4.1.1 Number of turning vehicles
- 4.1.2 Priority control
- 4.1.3 Blocking back of queues
- 4.1.4 Metering effect of queues
- 4.1.5 Signals
- 4.1.6 Route choice
- 4.1.7 Temporal distribution
- 4.2 Micro simulation DRACULA, VISSIM, PARAMICS, AIMSUN2
- 5 Behavioural responses
- 5.1 Overview
- 5.2 Route choice, regarded as a supply-side reaction
- 5.3 Departure-time changes and other short-run responses to congestion
- 5.4 Re-distribution and other longer-run responses to congestion
- 6 summary
- Ideas for further research
- 8 references
- Annex B a 5-page extract from Deliverable No.4
- SPECIFICATION OF TEST SCENARIOS FOR MICRO-SIMULATION OFCONGESTED NETWORKS
- SPECIFICATION OF SUPPLY AND DEMAND
- ROUTE CHOICE AND RESCHEDULING
- (Micro-)Scheduling
- Annex C: an 18-page extract from Deliverable No. 5/6
- TORG, University of Newcastle 6 June 2001
- 1. INTRODUCTION
- Table 1. Summary of modelling characteristics of the simulation tests
- 3. Simulation results for the simple network
- 3.1 The supply curves
- 4. SIMULATION TASKS FOR THE MINICAM NETWORK
- Table 2. The test matrices.
- Table 3. Summary of modelling characteristics of the simulation tests
- Table 4. Characteristics of the five selected O-D pairs.
- 5. Simulation results for the minicam network
- 5.1 Effect of Spatial Demand Distribution on Supply Costs
- Figure 13 (a)
- Figure 13 (b)
- Figure 13 (c)
- Figure 13 (d)
- Figure 13 (e)
- 5.2 Effect of Temporal Demand Distribution on Supply Costs
- 5.3 Performance Measures
- 6. Conclusions
- 7. References
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