230.548 People
Kröger, Lars
in Cooperation with on an Cooperation-Score of 37%
Topics
- driving
- autonomous driving
- travel
- transport costs
- bus
- travel time
- propulsion
- market
- taxicab
- business model
- determinant
- income
- transportation mode
- rural area
- automation
- productivity
- mobility service
- cost structure
- city
- passenger traffic
- Research Context Germany
- data
- freight transportation
- behavior
- traffic assignment
- railroad traffic
- railroad transportation
- sensitivity
- transportation planning
- costs
- greenhouse gas
- rail freight traffic
- calibration
- traffic volume
- economic growth
- railroad network
- traffic model
- factor of production
- traffic forecasting
- tonnage
- train-coupling
- ordinance
- transport demand
- vehicle fleet
- autonomous automobil
- customer
- mobility-as-a-service
- cluster analysis
- need for mobility
- market survey
- market research
- vehicle
- simulation
- autonomous vehicle
- modeling
- forecasting
- shipment
- commodity
- infrastructure
- bottleneck
- traffic performance
- traffic
- freight traffic
- capital costs
- federal transport infrastructure plan
- automobile
- vehicle occupant
- passenger
- comfort
- passenger car
- constraint
- driver license
- expected value
- road
- case study
- highway traffic
- highway transportation
- route choice
- toll
- traffic behavior
- noise
- incentive
- traffic management
- highway traffic control
- traffic noise
- education
- internalization
- transport user
- map
- work environment
- impurity
- sea
- noise control
- workplace
- resident
- residential area
- central business district
- Research Context Berlin
- lake
- security
- reliability
- engineering
- traffic flow
- specification
- price
- survey
- amendment
- traffic safety
- choice of transport
- private transportation
- ridesharing
- pricing
- driver
- regulation
- trip generation
- mode choice
- brain
- automobile travel
- Research Context United States of America
- modal shift
- valet parking
- focus group
- workshop
- mobility behavior
- no build
- show 95 more
Publications
- 2020Impact of vehicle automation and electric propulsion on production costs for mobility services worldwidecitations
- 2019CO2-Emissionen im Personenverkehr: Einfluss von Soziodemographie, Wohnort und Einkommen
- 2019Ableitung eines makroskopischen Zugbildungs-und Schienengüterverkehrsumlegungsmodells auf Basis der VP 2030
- 2019Derivation of scaled design premises for future vehicle concepts based on a forecast of travel demand using the example of a commercial fully automated on-demand fleetcitations
- 2018Dynamic simulation of the German vehicle market
- 2018Stepwise modelling of the impact of autonomous vehicles on the transport system in Germany for different scenarios
- 2018An Incremental Model for Determining Railway Infrastructure Bottlenecks due to Strong Increases of Rail Freight Transport
- 2018Schieneninfrastruktur: Grenzen der Leistungsfähigkeit und Maßnahmen
- 2018Potential Fleet Size of Private Autonomous Vehicles in Germany and the UScitations
- 2017User-specific and Dynamic Internalization of Road Traffic Noise Exposurescitations
- 2017An activity-based and dynamic approach to calculate road traffic noise damagescitations
- 2017Automatisiertes Fahren im Personen- und Güterverkehr. Auswirkungen auf den Modal-Split, das Verkehrssystem und die Siedlungsstrukturen
- 2017Autonomous car- and ridesharing systems: Simulation-based analysis of potential impacts on the mobility market
- 2017Potential Fleet Size of Private Autonomous Vehicles in Germany and the US
- 2016User-specific and Dynamic Internalization of Road Traffic Noise Exposurescitations
- 2016Modelling the Impact of Automated Driving. Private AV Scenarios for Germany and the US
- 2016Autonomous Driving - The Impact of Vehicle Automation on Mobility Behaviour
Places of action
article
User-specific and Dynamic Internalization of Road Traffic Noise Exposures
Abstract
In this study, a noise internalization approach is presented and successfully applied to a real-world case study of the Greater Berlin area. The proposed approach uses an activity-based transport simulation to compute noise levels and population densities as well as to assign noise damages back to road segments and transport users. Iteratively, road segment and time dependent noise exposure tolls are computed to which transport users can react by adjusting their route choice decisions. Since tolls correspond to the transport user’s contribution to the overall noise exposures, the incentives are given to change individual travel behavior towards reduced noise exposure costs. Applying the internalization approach to the case study reveals that transport users shift from minor to major roads and take detours in order to avoid areas with high population densities. The contribution of the presented methodology is that the within day dynamics of varying population densities in different areas of the city are explicitly taken into account and affected people at work and places of education may be incorporated, which is both found to have a major impact on toll levels and network utilization. Depending on the time of day and depending on which population groups are considered, noise exposures are reduced by means of different traffic management strategies.
Topics
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