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Pilot study of computer-based urban traffic management
Nathan H. Gartner
, Stanley B. Gershwin
, John D.C. Little
, Paul Ross
Research output
:
Contribution to journal
›
Article
›
peer-review
36
Scopus citations
Overview
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Keyphrases
Computer-based
100%
Urban Traffic Control
100%
Signal Control
33%
Arterial Street
33%
Heuristic Solution
33%
Modeling Framework
33%
Solution Technique
33%
Decision Variables
33%
Computational Results
33%
Cost Savings
33%
Travel Cost
33%
Increased Safety
33%
Air Pollution
33%
Urban Travel Demand
33%
Capital Expenditure (CAPEX)
33%
People Movement
33%
Energy Saving
33%
Private Car
33%
Ramp Metering
33%
Carpooling
33%
Mode Choice
33%
Lane Assignment
33%
Private Bus
33%
Traffic Manager
33%
Freeway
33%
Range Management
33%
Management Strategy
33%
Variable Message Sign
33%
Transportation Resources
33%
Egress
33%
Priority Lanes
33%
Modal Performance
33%
Social Sciences
Urban Traffic
100%
Pilot Study
100%
Transport
33%
Cost Saving
33%
Air Pollution
33%
Mode Choice
33%
Motor Vehicles
33%
Capital Expenditure
33%
Bus
33%
Strategic Management
33%
Engineering
Urban Traffic
100%
Traffic Management
100%
Control Signal
33%
Solution Technique
33%
Capital Expenditure
33%
Decision Parameter
33%
Highway Systems
33%
Air Pollution
33%
Computer Science
Traffic Management
100%
Control Signal
33%
Heuristic Solution
33%
Modeling Framework
33%
Assignment Variable
33%
Traffic Manager
33%
Cost Saving
33%
Air Pollution
33%
Economics, Econometrics and Finance
Aviation Employees
100%
Capital Expenditure
50%
Transport Demand
50%
Mode Choice
50%
Earth and Planetary Sciences
Urban Traffic
100%
Travel Demand
33%
Air Pollution
33%
Travel Cost
33%