A Planning Tool for Active Traffic Management Combining Microsimulation and Dynamic Traffic Assignment

Total Page:16

File Type:pdf, Size:1020Kb

A Planning Tool for Active Traffic Management Combining Microsimulation and Dynamic Traffic Assignment TECHNICAL REPORT 0-6859-1 TxDOT PROJECT NUMBER 0-6859 A Planning Tool for Active Traffic Management Combining Microsimulation and Dynamic Traffic Assignment Stephen D. Boyles C. Michael Walton Jennifer Duthie Ehsan Jafari Nan Jiang Alireza Khani Jia Li Jesus Osorio Venktesh Pandey Tarun Rambha Cesar Yahia April 2017; Published September 2018 http://library.ctr.utexas.edu/ctr-publications/0-6859-1.pdf Technical Report Documentation Page 1. Report No. 2. Government 3. Recipient’s Catalog No. FHWA/TX-17/0-6859-1 Accession No. 4. Title and Subtitle 5. Report Date A Planning Tool for Active Traffic Management Combining April 2017; Published September 2018 Microsimulation and Dynamic Traffic Assignment (FHWA 0- 6. Performing Organization Code 6859-1) 7. Author(s) 8. Performing Organization Report No. Stephen D. Boyles, C. Michael Walton, Jennifer Duthie, Ehsan 0-6859-1 Jafari, Nan Jiang, Alireza Khani, Jia Li, Jesus Osorio, Venktesh Pandey, Tarun Rambha, Cesar Yahia 9. Performing Organization Name and Address 10. Work Unit No. (TRAIS) Center for Transportation Research 11. Contract or Grant No. The University of Texas at Austin 0-6859 1616 Guadalupe Street, Suite 4.202 Austin, TX 78701 12. Sponsoring Agency Name and Address 13. Type of Report and Period Covered Texas Department of Transportation Technical Report, 9/1/14-4/30/17 Research and Technology Implementation Office 14. Sponsoring Agency Code P.O. Box 5080 Austin, TX 78763-5080 15. Supplementary Notes Project performed in cooperation with the Texas Department of Transportation and the Federal Highway Administration. 16. Abstract Active traffic management (ATM) strategies have been considered as a tool for congestion mitigation in the last few decades. They rely on real-time traffic observations to regulate the flow of traffic. This research focuses on developing tools for evaluating the effectiveness of ATM strategies for freeway corridors. The research efforts can be categorized into two parts. The first part performs a detailed microsimulation analysis for four ATM strategies commenting on their effectiveness under cases of recurring and non-recurring congestion and develops a hybrid microsimulation-DTA model to capture the combined microscopic and network-level impacts of an ATM strategy. The second part develops spreadsheet tools which are useful to predict effectiveness of an ATM strategy under different levels of data availability. Ramp metering, variable speed limits, and hard shoulder running are found effective on the Williamson County test network, whereas dynamic ramp control and freeway arterial coordinated operations do not lead to any significant improvement. We also find that ATM strategies can improve the performance over a corridor while simultaneously reducing the performance of frontage roads due to spillover effects. Our findings also indicate that a hybrid microsimulation-DTA model is useful for an accurate analysis. However, based on the network characteristics, changes in route choice patterns may/may not be significant. The regression models used in the spreadsheet tool in the second part provide a good fit to the simulation results and thus can be used as an initial tool for testing effectiveness of ATM strategies during planning stage. 17. Key Words 18. Distribution Statement Active traffic management, dynamic traffic No restrictions. This document is available to the assignment, microsimulation public through the National Technical Information Service, Springfield, Virginia 22161; www.ntis.gov. 19. Security Classif. (of report) 20. Security Classif. (of this page) 21. No. of pages 22. Price Unclassified Unclassified 146 Form DOT F 1700.7 (8-72) Reproduction of completed page authorized A Planning Tool for Active Traffic Management Combining Microsimulation and Dynamic Traffic Assignment Stephen D. Boyles C. Michael Walton Jennifer Duthie Ehsan Jafari Nan Jiang Alireza Khani Jia Li Jesus Osorio Venktesh Pandey Tarun Rambha Cesar Yahia CTR Technical Report: 0-6859-1 Report Date: April 2017; Published September 2018 Project: 0-6859 Project Title: Operational Analysis of Active Traffic Management Strategies Sponsoring Agency: Texas Department of Transportation Performing Agency: Center for Transportation Research at The University of Texas at Austin Project performed in cooperation with the Texas Department of Transportation and the Federal Highway Administration. Center for Transportation Research The University of Texas at Austin 3925 W. Braker Lane Austin, TX 78759 http://ctr.utexas.edu/ iv Disclaimers Author's Disclaimer: The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official view or policies of the Federal Highway Administration or the Texas Department of Transportation (TxDOT). This report does not constitute a standard, specification, or regulation. Patent Disclaimer: There was no invention or discovery conceived or first actually reduced to practice in the course of or under this contract, including any art, method, process, machine manufacture, design or composition of matter, or any new useful improvement thereof, or any variety of plant, which is or may be patentable under the patent laws of the United States of America or any foreign country. Notice: The United States Government and the State of Texas do not endorse products or manufacturers. If trade or manufacturers' names appear herein, it is solely because they are considered essential to the object of this report. Engineering Disclaimer NOT INTENDED FOR CONSTRUCTION, BIDDING, OR PERMIT PURPOSES. v Acknowledgments The authors express appreciation to the Project Manager, Wade Odell, for providing guidance throughout the project and for coordinating review of documents and update meetings with the Project Monitoring Committee, including Mohammad Al Hweil, Brian Burk, Ron Fuessel, Joseph Hunt, Charles Koonce III, Michael Pietrzyk, and David Rodrigues. Their input has been invaluable. The authors also thank the CTR staff who assisted with document preparation and project management, particularly Maureen Kelly and Ashley Savage Williams. vi Table of Contents Executive Summary ................................................................................................................... xvi Chapter 1. Introduction................................................................................................................ 1 1.1 Overview ................................................................................................................................1 1.2 Report Organization ...............................................................................................................2 Chapter 2. Literature Review ...................................................................................................... 3 2.1 Speed Harmonization .............................................................................................................5 2.2 Ramp Metering ......................................................................................................................7 2.3 Dynamic Temporary Shoulder Lane ......................................................................................8 2.4 Queue Warning ......................................................................................................................9 2.5 Coordinated Freeway-Arterial Operations ...........................................................................10 2.6 Dynamic Lane-Use Control .................................................................................................11 2.7 Dynamic Route Guidance/Signing/VMS .............................................................................11 2.8 Truck Restrictions ................................................................................................................13 2.9 Mainline Gap Metering ........................................................................................................13 2.10 Construction Site Management ..........................................................................................14 2.11 Transit Signal Priority ........................................................................................................14 2.12 Summary ............................................................................................................................15 Chapter 3. Identifying Potential ATM Strategies for Texas ................................................... 16 3.1 Existing ATM Deployment in Texas ...................................................................................16 3.2 Qualitative Evaluation of ATM Strategies ..........................................................................16 3.3 Testbed for Simulation Study ..............................................................................................19 3.3.1 Williamson County Network ....................................................................................... 19 3.3.2 Available Data ............................................................................................................. 20 Chapter 4. Analysis Based on Micro-Simulation ..................................................................... 22 4.1 COM-based Microscopic Simulation Framework ...............................................................22 4.1.1 Overview of Micro-Simulators ...................................................................................
Recommended publications
  • Dynamic Lane Reversal in Traffic Management
    To appear in Proceedings of the 14th IEEE ITS Conference (ITSC 2011), Washington DC, USA, October 2011. Dynamic Lane Reversal in Traffic Management Matthew Hausknecht, Tsz-Chiu Au, Peter Stone David Fajardo, Travis Waller Department of Computer Science School of Civil and Environmental Engineering University of Texas at Austin University of New South Wales {mhauskn,chiu,pstone}@cs.utexas.edu {davidfajardo2,s.travis.waller}@gmail.com Abstract— Contraflow lane reversal—the reversal of lanes in order to temporarily increase the capacity of congested roads— can effectively mitigate traffic congestion during rush hour and emergency evacuation. However, contraflow lane reversal deployed in several cities are designed for specific traffic patterns at specific hours, and do not adapt to fluctuations in actual traffic. Motivated by recent advances in autonomous Fig. 1. An illustration of contraflow lane reversal (cars are driving on vehicle technology, we propose a framework for dynamic lane the right side of the road). The total capacity of the road is increased by reversal in which the lane directionality is updated quickly and approximately 50% by reversing the directionality of a middle lane. automatically in response to instantaneous traffic conditions recorded by traffic sensors. We analyze the conditions under systems, more aggressive contraflow lane reversal strategies which dynamic lane reversal is effective and propose an integer can be implemented to improve traffic flow of a city without linear programming formulation and a bi-level programming increasing the amount of land dedicated to transportation. formulation to compute the optimal lane reversal configuration An important component of implementing dynamic lane that maximizes the traffic flow.
    [Show full text]
  • Using Bluetooth Detectors to Monitor Urban Traffic Flow with Applications
    Using Bluetooth Detectors to Monitor Urban Traffic Flow with Applications to Traffic Management by Mohsen Hajsalehi Sichani A thesis submitted to the Victoria University of Wellington in fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science. Victoria University of Wellington 2020 Abstract A comprehensive traffic monitoring system can assist authorities in identifying parts of a road transportation network that exhibit poor performance. In addition to monitoring, it is essential to develop a localized and efficient analytical trans- portation model that reflects various network scenarios and conditions. A compre- hensive transportation model must consider various components such as vehicles and their different mechanical characteristics, human and their diverse behaviours, urban layouts and structures, and communication and transportation infrastructure and their limitations. Development of such a system requires a bringing together of ideas, tools, and techniques from multiple overlapping disciplines such as traf- fic and computer engineers, statistics, urban planning, and behavioural modelling. In addition to modelling of the urban traffic for a typical day, development of a large-scale emergency evacuation modelling is a critical task for an urban area as this assists traffic operation teams and local authorities to identify the limitations of traffic infrastructure during an evacuation process through examining various parameters such as evacuation time. In an evacuation, there may be severe and unpredictable damage to the infrastructure of a city such as the loss of power, telecommunications and transportation links. Traffic modelling of a large-scale evacuation is more challenging than modelling the traffic for a typical day as his- torical data is usually available for typical days, whereas each disaster and evacua- tion are typically one-off or rare events.
    [Show full text]
  • Human Factors for Connected Vehicles Transit Bus Research DISCLAIMER
    DOT HS 812 652 May 2019 Human Factors for Connected Vehicles Transit Bus Research DISCLAIMER This publication is distributed by the U.S. Department of Transportation, National Highway Traffic Safety Administration, in the interest of information exchange. The opinions, findings and conclusions expressed in this publication are those of the authors and not necessarily those of the Department of Transportation or the National Highway Traffic Safety Administration. The United States Government assumes no liability for its contents or use thereof. If trade or manufacturers’ names are mentioned, it is only because they are considered essential to the object of the publication and should not be construed as an endorsement. The United States Government does not endorse products or manufacturers. Suggested APA Format Citation: Graving, J. L.; Bacon-Abdelmoteleb, P.; & Campbell, J. L. (2019, May). Human factors for connected vehicles transit bus research (Report No. DOT HS 812 652). Washington, DC: National Highway Traffic Safety Administration. Technical Report Documentation Page 1. Report No. 2. Government Accession No. 3. Recipient's Catalog No. DOT HS 812 652 4. Title and Subtitle 5. Report Date Human Factors for Connected Vehicles Transit Bus Research May 2019 6. Performing Organization Code 7. Authors 8. Performing Organization Report No. Graving, Justin L; Bacon-Abdelmoteleb, Paige; Campbell, John L.; Battelle 9. Performing Organization Name and Address 10. Work Unit No. (TRAIS) Battelle Seattle Research Center 11. Contract or Grant No. 1100 Dexter Avenue North, Suite 400 DTNH22-11-D-00236, Task Order Seattle, WA 98109 18, Subaward 451329-19615 12. Sponsoring Agency Name and Address 13. Type of Report and Period Covered National Highway Traffic Safety Administration Final Report Office of Behavioral Safety Research 1200 New Jersey Avenue SE.
    [Show full text]
  • Transportation Emergency Preparedness Plan for the Nashua Region
    Transportation Emergency Preparedness Plan for the Nashua Region September 2010 Prepared by: Nashua Regional Planning Commission Transportation Emergency Preparedness Plan for the Nashua Region September 2010 TABLE OF CONTENTS 1.0 INTRODUCTION...................................................................................................................................................1 A. OVERVIEW OF TRANSPORTATION PLANNING AND EMERGENCY PREPAREDNESS ...................................................1 B. THE ROLE OF THE METROPOLITAN PLANNING ORGANIZATION..............................................................................2 C. ADVISORY PANEL DISCUSSION................................................................................................................................3 2.0 LITERATURE REVIEW (SECTION 1) ...................................................................................................................5 A. NATIONAL INCIDENT MANAGEMENT SYSTEM (NIMS) (DECEMBER 2008).............................................................5 i. Components of the NIMS: .............................................................................................................................5 B. STATE OF NEW HAMPSHIRE EMERGENCY OPERATIONS PLAN (MARCH 2005) .....................................................6 C. MUNICIPAL HAZARD MITIGATION PLANS (DATES VARY BY MUNICIPALITY)..............................................................8 D. NORTHERN MIDDLESEX PRE-DISASTER MITIGATION PLAN (JULY 2006) ................................................................8
    [Show full text]
  • Hurricane Evacuation Guidelines (PDF)
    Hurricane Evacuation Guidelines Prepare to evacuate if told to do so by elected officials. This may come through radio, television and social media. Plan to evacuate as early as possible – before gale force winds and storm surge forces road closings. Leaving early may also help you to avoid massive traffic jams encountered late in an evacuation effort. Listen to radio/television for evacuation and sheltering information. Remember, there are no shelters in St. Bernard Parish. Storm advisories are issued as followed: Tropical Storm Watch An announcement that sustained winds of 39 to 73 mph are possible within the specified area within 48 hours in association with a tropical, subtropical, or post-tropical cyclone. Tropical Storm Warning An announcement that sustained winds of 39 to 73 mph are expected somewhere within the specified area within 36 hours in association with a tropical, subtropical, or post- tropical cyclone Hurricane Watch A Hurricane Watch is issued when a tropical cyclone containing winds of 64 kt (74 mph) or higher poses a possible threat, generally within 48 hours. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding. The watch does not mean that hurricane conditions will occur. It only means that these conditions are possible. Hurricane Warning A Hurricane Warning is issued when sustained winds of 64 kt (74 mph) or higher associated with a tropical cyclone are expected in 36 hours or less. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding. A hurricane warning can remain in effect when dangerously high water or a combination of dangerously high water and exceptionally high waves continue, even though winds may be less than hurricane force.
    [Show full text]
  • Drones for Improving Traffic Safety in Riti Communities in Washington State
    DRONES FOR IMPROVING TRAFFIC SAFETY IN RITI COMMUNITIES IN WASHINGTON STATE FINAL PROJECT REPORT by Xuegang (Jeff) Ban, Daniel Abramson, Yiran Zhang University of Washington for Center for Safety Equity in Transportation (CSET) USDOT Tier 1 University Transportation Center University of Alaska Fairbanks ELIF Suite 240, 1764 Tanana Drive Fairbanks, AK 99775-5910 In cooperation with U.S. Department of Transportation, Research and Innovative Technology Administration (RITA) DISCLAIMER The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the information presented herein. This document is disseminated under the sponsorship of the U.S. Department of Transportation’s University Transportation Centers Program, in the interest of information exchange. The Center for Safety Equity in Transportation, the U.S. Government and matching sponsor assume no liability for the contents or use thereof. i TECHNICAL REPORT DOCUMENTATION PAGE 1. Report No. 2. Government Accession No. 3. Recipient’s Catalog No. 4. Title and Subtitle 5. Report Date Drones for Improving Traffic Safety of the RITI Communities in Washington Dec 31,2019 State 6. Performing Organization Code 7. Author(s) and Affiliations 8. Performing Organization Report No. Xuegang (Jeff) Ban, Daniel Abramson, Yiran Zhang CSET/INE 20.03 University of Washington 9. Performing Organization Name and Address 10. Work Unit No. (TRAIS) Center for Safety Equity in Transportation ELIF Building Room 240, 1760 Tanana Drive 11. Contract or Grant No. Fairbanks, AK 99775-5910 12. Sponsoring Organization Name and Address 13. Type of Report and Period Covered United States Department of Transportation Final report, 04/01/18 – 12/31/19 Research and Innovative Technology Administration 14.
    [Show full text]
  • Transportation Analysis Report
    Coastal Bend Study Area Hurricane Evacuation Study Transportation Analysis Report Prepared by Texas A&M Transportation Institute and Texas A&M Hazard Reduction & Recovery Center The Texas A&M University System May 2020 Coastal Bend Study Area Hurricane Evacuation Study Coastal Bend Study Area Hurricane Evacuation Study Transportation Analysis Report Prepared by: Texas A&M Transportation Institute The Texas A&M University System 3135 TAMU College Station, TX 77843-3135 (713) 686-2971 Hazard Reduction & Recovery Center College of Architecture Texas A&M University College Station, TX 77843-3137 (979) 845-7813 Date: May 30, 2020 Authors: James A. (Andy) Mullins III Texas A&M Transportation Institute Darrell W. Borchardt, P.E. Texas A&M Transportation Institute David H. Bierling, PhD Texas A&M Transportation Institute and Hazard Reduction & Recovery Center Walter Gillis Peacock, PhD Hazard Reduction & Recovery Center Douglas F. Wunneburger, PhD Hazard Reduction & Recovery Center Alexander Abuabara Hazard Reduction & Recovery Center ACKNOWLEDGEMENT This project was sponsored by the United States Department of Defense. The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the position or policy of the government, and no official endorsement should be inferred. To Cite This Report: Mullins, J.A., III; Borchardt, D.W.; Bierling, D.H.; Peacock, W.G.; Wunneburger, D.F.; Abuabara, A. (2020). Coastal Bend Hurricane Evacuation Study: Transportation Analysis Report. Texas A&M Transportation Institute and the Texas A&M Hazard Reduction & Recovery Center. College Station, Texas. Available electronically from https://hdl.handle.net/1969.1/188204.
    [Show full text]
  • A Literature Study on National Highway System
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by International Journal of Innovative Technology and Research (IJITR) Aishwarya B R* et al. (IJITR) INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND RESEARCH Volume No.4, Issue No.6, October – November 2016, 5010-5013. A Literature Study On National Highway System AISHWARYA B R PG Student Department of Computer Science and Engineering R V College of Engineering, Bengaluru-560059 Abstract: As one of the components of the National Highway System, Interstate Highways improve the mobility of military troops to and from airports, seaports, rail terminals, and other military bases. Interstate Highways also connect to other roads that are a part of the Strategic Highway Network, a system of roads identified as critical to the U.S. Department of Defense. The system has also been used to facilitate evacuations in the face of hurricanes and other natural disasters. An option for maximizing traffic throughput on a highway is to reverse the flow of traffic on one side of a divider so that all lanes become outbound lanes. This procedure, known as contraflow lane reversal, has been employed several times for hurricane evacuations. After public outcry regarding the inefficiency of evacuating from southern Louisiana prior to Hurricane Georges' landfall in September 1998, government officials looked towards contraflow to improve evacuation times. In Savannah, Georgia, and Charleston, South Carolina, in 1999, lanes of I-16 and I-26 were used in a contraflow configuration in anticipation of Hurricane Floyd with mixed results. In 2004 contraflow was employed ahead of Hurricane Charley in the Tampa, Florida area and on the Gulf Coast before the landfall of Hurricane Ivan; however, evacuation times there were no better than previous evacuation operations.
    [Show full text]
  • Appendix D (Emergency Evacuation Route Analysis)
    APPENDIX D EMERGENCY EVACUATION ROUTE ANALYSIS BACKGROUND Assembly Bill (AB) 7471, passed in August of 2019, requires the City to update the Safety Element of their General Plan to identify evacuation routes and assess the capacity, safety, and viability of those routes under a range of emergency scenarios. Senate Bill (SB) 992 similarly requires the City to identify residential developments in hazard areas that do not have at least two emergency evacuation routes. Authoritative state guidance has not yet been developed to determine the type and level of analysis needed under AB 747 and SB 99. This supplemental evacuation analysis was prepared in support of the 2020 Local Hazard Mitigation Plan. It utilizes a methodology described below and identifies residential developments without sufficient evacuation routes, and evaluates the efficacy of existing evacuation routes under various hazard scenarios in compliance with these two statutes. HAZARD SCENARIOS Evacuation route viability is largely determined by the location of the hazard. Because the City of Watsonville is surrounded by moderate and high wildfire risk areas, the Planning Team considered three wildfire scenarios to evaluate the safety and capacity of evacuation routes for residents. A total of five hazard scenarios are considered in this analysis: 1. Baseline (no hazard location specified) 2. Wildfire originating in the area north of the City 3. Wildfire originating to the east of the City 4. Wildfire originating to the south of the City 5. Flood 6. Earthquake DATA, ASSUMPTIONS & DEFINITIONS The evacuation route analysis utilizes updated parcel data from CoreLogic, a leading provider of real estate data in the United States and 2017 TIGER road data from the U.S.
    [Show full text]
  • Planning Considerations: Evacuation and Shelter-In-Place Guidance for State, Local, Tribal, and Territorial Partners
    Planning Considerations: Evacuation and Shelter-in-Place Guidance for State, Local, Tribal, and Territorial Partners July 2019 This page intentionally left blank. Planning Considerations: Evacuation and Shelter-In-Place Table of Contents BACKGROUND ...................................................................................................................... 1 Purpose ........................................................................................................................................ 1 Background ................................................................................................................................. 1 Roles and Responsibilities ........................................................................................................... 2 KEY CONCEPTS .................................................................................................................... 4 Zones ............................................................................................................................................ 4 Evacuation Transportation Models ............................................................................................ 4 Phases........................................................................................................................................... 5 Community Lifelines ................................................................................................................... 7 Characteristics of Evacuation and Shelter-In-Place ..................................................................
    [Show full text]
  • NDOT Active Traffic Management System Las Vegas, Nevada
    CONCEPT OF OPERATIONS NDOT Active Traffic Management System Las Vegas, Nevada Prepared for: Prepared by: Prepared In Accordance With: NDOT Active Traffic Management (ATM) Concept of Operations TABLE OF CONTENTS 1 Overview .......................................................................................................................... 1 1.1 Background ................................................................................................................................... 1 1.2 Purpose ......................................................................................................................................... 1 1.3 Scope ............................................................................................................................................. 2 1.4 Best Practice Examples ................................................................................................................. 3 1.5 Role within the Systems Engineering Process .............................................................................. 4 1.6 Goals and Objectives ..................................................................................................................... 5 2 Current Conditions ........................................................................................................... 7 2.1 Existing ITS Infrastructure ............................................................................................................. 7 2.2 FAST TMC .....................................................................................................................................
    [Show full text]
  • CAV Road Scoring Index
    Authored by: Lawrence Penn Ramit Raunak Emma Leworthy CAV Road Scoring Index A new category of road user is coming. We need to be ready. | P a g e 2 CAV Road Scoring Index Meet the team LAWRENCE PENN RAMIT RAUNAK EMMA LEWORTHY Lawrence works in WSP's Ramit is an electric Emma is a Senior Future Mobility team in mobility enthusiast, Transport Planner at the UK. Having written his currently working in the WSP, specialising in Undergraduate and Centre of Excellence in microsimulation traffic Masters dissertations on Urban Transport (CoE- modelling and local connected and UT), CEPT Research and network analysis. She autonomous vehicles, he Development develops solutions for is keen to immerse Foundation. At the environments with himself further in the field Centre, he works actively complex interactions as it rapidly develops. in the sector of electric between private vehicles, climate change vehicles, active modes, His recent work has included designing and contributes to public transport and trials of automated communication and goods vehicles. Emma is vehicles in the UK and outreach. With his keen to explore the conducting passion to work on potential for deploying international market futuristic sustainable CAVs within this context, research looking at transport, he is focussing on safe the connected and interested in interactions with active autonomous mobility contributing towards mode users, sector. enabling the operation communication with of CAVs in the world. roadside infrastructure and impact on emissions. | P a g e 3 CAV Road Scoring Index Executive Summary This project has been delivered through the Future Transport Visions Group (FTVG), funded by the Rees Jeffreys Road Fund.
    [Show full text]