01023238

Component

https://doi.org/10.3141/1935-02

http://scholar.google.com...illo&publication_year=2005

This study shows that tools can be devised to assist engineers and operators make decisions concerning a network of toll roads. A decision support system (DSS) was connected to a database containing highway network hourly geometric and traffic information for one typical day. The DSS provided operators with online tools that could assist with their hour-to-hour decisions concerning toll plaza lane configurations. This pilot study could be extended, and the DSS could be connected to a real-time database to assist operators with their day-to-day decisions. Operators could plan for special scheduled events in which traffic volumes are known to surge. Engineers could design lane configurations at toll facilities that could meet traffic requirements. Engineers could also design new interchange locations and predict the effect on toll plaza segments. They could also predict the effect of adding additional lanes to busy highway segments. Highway operators could determine the effects of an incident or other unscheduled lane closing at any particular hour of the day. Furthermore, they could schedule maintenance and lane closings for construction at hours of the day in which bottlenecks are at a minimum.

01023220

English

pp 8-16

2005

Transportation Research Record: Journal of the Transportation Research Board

0309094097

Print

Figures (3) ; References (30) ; Tables (2)

Decision support systems; Graphical user interfaces; Toll facilities

Toll plaza configurations

Highways; Planning and Forecasting; Terminals and Facilities; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Apr 24 2006 1:01PM

• Calibration of Microsimulation Models Using Nonparametric Statistical Techniques
• Development of Methodology to Design Advanced Traffic Surveillance Systems for Traffic Information Based on Origin–Destination
• Efficient Map Matching of Large Global Positioning System Data Sets: Tests on Speed-Monitoring Experiment in Zürich
• Evaluation of AASHTO SiteManager Performance on High-Latency Satellite Communication Links
• Exploring the Relationship Between Data Aggregation and Predictability to Provide Better Predictive Traffic Information
• Geographically Stratified Importance Sampling for the Calibration of Aggregated Destination Choice Models for Trip Distribution
• ISO 19133 Tracking and Navigation Standard: 6.6 Linear Reference System Standard
• Lane-Based Network for Flow Analysis and Inventory Management of Transportation Networks
• Markov Chain Monte Carlo Multiple Imputation Using Bayesian Networks for Incomplete Intelligent Transportation Systems Data
• Modeling Location Choice of Secondary Activities with a Social Network of Cooperative Agents
• Modeling Urban Link Travel Time with Inductive Loop Detector Data by Using the k-NN Method
• Q-Learning for Flexible Learning of Daily Activity Plans
• Robust Route Guidance Model Based on Advanced Traveler Information Systems
• Simple Map-Matching Algorithm Applied to Intelligent Winter Maintenance Vehicle Data
• Travel Time Prediction Algorithm Scalable to Freeway Networks with Many Nodes with Arbitrary Travel Routes
• Using a Fuzzy Quality Function Deployment Model to Identify Improvement Points in Airport Cargo Terminals
• Using the Ant Algorithm to Derive Pareto Fronts for Multiobjective Siting of Emergency Service Facilities
• Vehicle Detection and Classification Using Model-Based and Fuzzy Logic Approaches