Traffic Management

Name: Traffic Management
Brand: Wiley-ISTE
Price: 139.99 EUR
Availability: OnlineOnly

Simon Cohen George Yannis(Herausgeber*in)

Wiley-ISTE (Verlag)

Erschienen am 15. Juni 2016

378 Seiten

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978-1-119-30780-8 (ISBN)

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Inhalt

Cover
Title Page
Copyright
Contents
Acknowledgments
Preface
Introduction
I.1. Main findings
I.2. Conclusion
PART 1: Data Collection
1: A Review of Statewide Traffic Data Collection, Processing, Projection and Quality Control
1.1. Introduction
1.2. Current traffic data collection in New Mexico
1.2.1. Data collection at the NMDOT ITS Bureau
1.2.2. Other agency programs
1.2.3. Current WIM technology in NM
1.3. NMDOT data processing and reporting
1.3.1. Summary of New Mexico practice
1.4. Traffic data projection and quality control
1.4.1. In-person interviews
1.4.2. Additional written interviews
1.4.3. NMDOT project panel responses
1.5. Conclusions
1.6. Acknowledgments
1.7. Bibliography
2: SYNCRO - An Innovative Public Procurement of an Advanced Data Gathering System for Interurban Roads Based on its Technologies
2.1. Introduction
2.2. Elaboration of the SYNCRO technical vision: the SYNCRO functional program
2.2.1. Innovation for more complete data collection by a single system
2.2.2. Innovation for enabling massive deployment across an interurban road network
2.2.3. Transition toward cooperative systems
2.3. A system to gather road data and to provide the current operational road management center with data
2.4. Impact and potential of the SYNCRO system
2.4.1. Possible impact of SYNCRO project
2.4.2. Exploration of a diversified technological offering
2.5. An innovative legal framework to implement three phases of the SYNCRO project
2.5.1. Purchasing innovation thanks to a competitive dialogue
2.5.2. A two-phase procurement: a pilot system and a final system
2.5.3. A coordinated transnational procurement
2.6. Conclusion
2.7. Acknowledgments
3: Tailoring a Reference Model for C-ITS Architectures and Using a DATEX II Profile to Communicate Traffic Signal Information
3.1. Introduction
3.2. Architecture of intelligent transport systems
3.2.1. The ITS pyramid
3.3. A generic C-ITS architecture
3.4. A tailored architecture for the use case "Traffic Light Phase Assistant"
3.4.1. Scenario via service provider
3.5. A DATEX II profile to communicate traffic light information
3.6. Summary
3.7. Bibliography
4: Sensor City Mobility: The City of Assen as a "Living Lab" for Smart Mobility Solutions Using Sensor Data
4.1. Introduction
4.1.1. What is necessary for travel information and traffic management?
4.1.2. Why is a real-life test necessary?
4.1.3. What is meant by Sensor City?
4.1.4. Constructing the consortium and selecting the partners
4.2. Architecture, sensor network and technologies used
4.2.1. General architecture
4.2.2. Sensor network in Assen
4.2.3. Technologies used
4.3. Use cases for mobility
4.3.1. Multimodal travel information and guidance
4.3.2. Dynamic traffic management in-car
4.3.3. Parking guidance services
4.3.4. Driving style monitor for safe and eco-friendly driving
4.3.5. The "TravelAlert" smartphone application
4.4. Modeling
4.4.1. Online modeling
4.4.2. Offline modeling
4.4.2.1. Modeling of parking guidance services
4.4.3. Smart Routing
4.4.4. Calibration and validation
4.5. Preliminary results and evaluation of the experiment
4.6 Acknowledgments
4.7. Bibliography
PART 2: Traffic Modeling and Simulation
5: Forecasting Capabilities of a Micro-Simulation Method for Trip Generation
5.1. Introduction
5.2. Methodology
5.2.1. Data
5.2.2. Micro-simulation procedure
5.2.2.1. Trips, tours and mobility profiles: choosing the variable to be explained
5.2.2.2. Creating a typology of the population according to mobility profiles (selecting explanatory variables)
5.2.2.3. Evaluation of the forecasting capability
5.3. Results
5.3.1. Typology from CHAID
5.3.2. Forecasting capability
5.4. Conclusion
5.5. Acknowledgments
5.6. Bibliography
6: Modeling and Solving International Journey Planning Problems
6.1. Introduction
6.2. Defining international itinerary planning problems
6.2.1. Elementary international multimodal itinerary planning problems
6.2.2. International round-trip itinerary planning problem
6.2.3. International multiple-trip itinerary planning problem
6.2.4. International trip itinerary contingency planning problem
6.2.5. International dynamic itinerary re-planning problem
6.3. Modeling issues
6.4. Previous related work
6.5. Algorithmic approach
6.5.1. Customized network
6.5.2. Solution algorithm for the elementary international itinerary planning problem
6.5.3. Solution algorithm for the international round-trip and multi-trip itinerary planning problem
6.6. Concluding remarks
6.7. Acknowledgments
6.8. Bibliography
7: Optimized Intermodal Roundtrips in Transport Networks
7.1. Introduction
7.2. Model description
7.3. Computational applications
7.3.1. Data
7.3.2. Results
7.4. Conclusions
7.5. Bibliography
8: Modeling Traffic Hindrance Caused by Road Construction as Part of a Multicriteria Assessment Framework
8.1. Introduction
8.2. Framework
8.3. Route choice during road works
8.3.1. Traditional traffic assignment
8.3.2. Alternative traffic assignment
8.4. Example
8.4.1. Demand
8.4.2. Network
8.4.3. Case N342
8.5. Conclusion
8.6. Acknowledgments
8.7. Bibliography
PART 3: Traffic Management, Monitoring and Routing
9: Behavioral Responses to Traffic Congestion - Findings from Paris, São Paulo and Mumbai
9.1. Introduction
9.1.1. Traffic congestion
9.1.2. The context of the three studied megacities
9.2. Methodology
9.2.1. Presentation of the method
9.2.2. The sample
9.2.3. Implementation of the survey
9.3. Results
9.3.1. A universal list of responses to traffic congestion
9.3.2. Different frequencies
9.3.3. The threshold of household tolerance to congestion
9.4. Conclusions
9.5. Acknowledgments
9.6. Bibliography
10: Empirical Analysis of Lane Changing Behavior at a Freeway Weaving Section
10.1. Introduction
10.2. Data collection site and technique
10.3. Methodology and definitions
10.4. Results
10.5. Discussion and conclusion
10.6. Bibliography
11: Applying and Testing a New Generation Traffic Management with Multi-objectives
11.1. Introduction
11.2. Definitions
11.3. Literature review
11.4. Methodology
11.5. Application cases and results
11.5.1. Simulation
11.5.1.1. Simulation setup
11.5.1.2. Routing strategies
11.5.2. Results and analysis
11.5.2.1. Sensitivity of VoT
11.5.2.2. Optimal routing results
11.6. Concluding remarks
11.7. Acknowledgments
11.8. Bibliography
12: ON-TIME: A Framework for IntegratedRailway Network Operation Management
12.1. Introduction
12.1.1. Motivation and fundamental principles
12.1.2. Railway control loop
12.1.3. Structure of the chapter
12.2. Real-time perturbation management
12.2.1. Important data structures
12.2.2. Important functions and their interaction
12.3. Train speed control
12.3.1. Functional description
12.3.2. Distribution of intelligence and possible interface definitions
12.4. Demonstration and validation approach
12.5. Conclusions
12.6. Acknowledgments
12.7. Bibliography
13: A Multi-lane Capacity Model Designed for Variable Speed Limit Applications
13.1. Background
13.2. MLC model
13.2.1. Field measurements
13.2.2. Presentation of the model
13.2.3. Applications for variable speed limit strategies
13.3. Meso-LWR model and multi-lane capacity model
13.3.1. Meso-LWR model
13.4. Application
13.4.1. Presentation of the scenarios
13.4.2. Analytical analysis
13.4.3. Simulation results
13.5. Discussion
13.6. Acknowledgments
13.7. Bibliography
14: Evaluation Parameters of Re-routing Strategy
14.1. Introduction
14.2. Simulation framework
14.3. Determination of the dynamic re-routing start based on traffic flow conditions
14.4. Conclusion
14.5. References
PART 4: Travel Information
15: Pre-Trip Road Information Impact Assessment: A Literature Review
15.1. Introduction
15.2. Pre-trip road information content and broadcasting media
15.3. Determining factors for user choice
15.3.1. Trip purpose
15.3.2. Information perceived quality and reliability
15.3.3. Personal factors
15.3.4. The traveler's memories
15.4. Pre-trip road information impacts
15.4.1. Overall impact of pre-trip road information
15.4.2. Impact on route choice
15.4.3. Impact on departure time
15.4.4. Impact on mode choice
15.4.5. Other impacts
15.4.6. Coupled impacts
15.5. Conclusions and discussion
15.6. Bibliography
16: Transferability Study on Full-scale Implementation of Real-time Passenger Information
16.1. Introduction
16.2. RTPI testing in Maribor
16.3. Benefits of the RTPI system
16.3.1. Benefits for passengers
16.3.2. Benefits for public transport operators and public transport authorities
16.3.3. Benefits for society
16.4. Cost benefit analysis and RTPI system
16.4.1. Cost benefit analysis of RTPI system
16.4.2. Perceived users waiting time in Maribor
16.4.3. Steps towards full-scale RTPI implementation
16.4.3.1. Step 1
16.4.3.2. Step 2
16.4.3.3. Step 3
16.5. Mobility toolbox as transferability tool
16.6. Conclusion
16.7. Acknowledgments
16.8. Bibliography
17: Excess Commuting and Commuting Economy: Peak and Off-Peak Variation in Travel Efficiency Measures
17.1. Introduction
17.2. Excess commuting, commuting economy and off-peak travel
17.3. Data and methods
17.3.1. Dublin
17.3.2. Data
17.3.3. Formulations
17.4. Results
17.4.1. Peak and off-peak travel scales
17.4.2. Peak and off-peak mode analysis
17.5. Conclusions and limitations
17.6. Bibliography
18: Deployment of Interoperable Cross-border Multimodal Traveler Information in Central Europe
18.1. Introduction
18.2. The EDITS concept
18.2.1. The EDITS Multimodal Traveler Information (MTI) service framework - a modular approach
18.2.2. Exchange of data and information between regions
18.2.3. Provision of multimodal traveler information services - a decentralized approach
18.3. Conclusion
18.4. Bibliography
PART 5: Assessment and Impacts
19: Impacts of Cooperative Traffic Systems on Safety, Environment and Travel Times: a Literature Survey
19.1. Introduction
19.1.1. Description of the Cooperative Benefits for Road Authorities (COBRA) project
19.1.2. Outline of the chapter
19.2. Description of systems and bundles
19.3. Reviewed literature
19.4. Methodology
19.4.1. Indicators and penetration scenarios
19.4.2. Assessment methodology for systems and bundles
19.5. Results
19.6. Conclusions and recommendations
19.7. Acknowledgments
19.8. Bibliography
20: The Impact of Navigation Support and Traffic Information on Distance-keeping Behavior
20.1. Introduction
20.2. Methods
20.2.1. Participants and recruitment
20.2.2. Design and procedure
20.2.3. Instrumented vehicle
20.2.4. Statistical analysis
20.3. Results
20.3.1. Stratification for road types
20.3.2. Percentage of time spent with certain time headway values
20.4. Discussion
20.5. Bibliography
21: Impact Evaluation of Traffic Performance and Road Safety: A Case Study on an Urban Motorway in France
21.1. Introduction
21.2. The site and the its application
21.3. Evaluation of the impact on traffic
21.3.1. Speed and capacity
21.3.2. Level of service
21.3.3. Congestion
21.4. Road safety implications
21.5. Discussion
21.6. Conclusions
21.7. Bibliography
22: Assessment of the Main New Travel-times Calculation Technologies on Lyon East Ring Road
22.1. Introduction
22.1.1. Background
22.1.2. Goals of the experiment
22.2. The trial site
22.3. Assessed technologies
22.4. Implemented methodology
22.4.1. Reference system
22.4.2. Assessment methods
22.5. Innovative administrative procedure
22.6. Conclusion
22.7. Acknowledgments
22.8. Bibliography
23: Rail Externalities: Assessing the Social Cost of Rail Congestion
23.1. Introduction
23.2. Related literature
23.3. The model and the econometric strategy
23.4. The data set
23.5. Results
23.6. Conclusions
23.7. Acknowledgments
23.8. Bibliography
List of Authors
Index
EULA

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