Ravi Seshadri

About Ravi Seshadri

Ravi Seshadri, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Danmarks Tekniske Universitet, specializes in the field of Transportation network modeling, Dynamic traffic assignment, Intelligent Transportation Systems, Simulation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Tradable credit schemes with peer-to-peer trading mechanisms

Estimation of Environmental Rebound Effect Induced by Shared Automated Passenger Transport Service in a Mid-Size European City via Microsimulation

Contextual Bayesian optimization of congestion pricing with day-to-day dynamics

Managing network congestion with a trip-and area-based tradable credit scheme

A Multi-day Needs-based Modeling Approach for Activity and Travel Demand Analysis

Fixed routing or demand-responsive? Agent-based modelling of autonomous first and last mile services in light-rail systems

Evaluating city logistics solutions with agent-based microsimulation

Market design for tradable mobility credits

Ravi Seshadri Information

University

Position

Assistant Professor (DTU)

Citations(all)

1126

Citations(since 2020)

981

Cited By

491

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

30

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

Ravi Seshadri Skills & Research Interests

Transportation network modeling

Dynamic traffic assignment

Intelligent Transportation Systems

Simulation

Top articles of Ravi Seshadri

Tradable credit schemes with peer-to-peer trading mechanisms

Transportation Research Part C: Emerging Technologies

2024/3/1

Estimation of Environmental Rebound Effect Induced by Shared Automated Passenger Transport Service in a Mid-Size European City via Microsimulation

Transportation Research Record

2024/1/31

Ravi Seshadri
Ravi Seshadri

H-Index: 12

Mayara Moraes Monteiro
Mayara Moraes Monteiro

H-Index: 2

Contextual Bayesian optimization of congestion pricing with day-to-day dynamics

Transportation Research Part A: Policy and Practice

2024/1/1

Managing network congestion with a trip-and area-based tradable credit scheme

Transportmetrica B: Transport Dynamics

2023/12/31

A Multi-day Needs-based Modeling Approach for Activity and Travel Demand Analysis

arXiv preprint arXiv:2312.15373

2023/12/24

Fixed routing or demand-responsive? Agent-based modelling of autonomous first and last mile services in light-rail systems

Transportation Research Part A: Policy and Practice

2023/7/1

Jeppe Rich
Jeppe Rich

H-Index: 13

Ravi Seshadri
Ravi Seshadri

H-Index: 12

Evaluating city logistics solutions with agent-based microsimulation

2023/6/15

Ravi Seshadri
Ravi Seshadri

H-Index: 12

Market design for tradable mobility credits

Transportation Research Part C: Emerging Technologies

2023/6/1

Evaluating congestion pricing schemes using agent-based passenger and freight microsimulation

arXiv preprint arXiv:2305.07318

2023/5/12

Ravi Seshadri
Ravi Seshadri

H-Index: 12

Adaptive transit design: Optimizing fixed and demand responsive multi-modal transportation via continuous approximation

Transportation Research Part A: Policy and Practice

2023/5/1

Predictive distance-based road pricing—Designing tolling zones through unsupervised learning

Transportation Research Part A: Policy and Practice

2023/4/1

Ravi Seshadri
Ravi Seshadri

H-Index: 12

Examining the effects of Automated Mobility-on-Demand services on public transport systems using an agent-based simulation approach

Transportation Research Part A: Policy and Practice

2023/3/1

Congestion tolling—Dollars versus tokens: Within-day dynamics

Transportation Research Part C: Emerging Technologies

2022/10/1

Ravi Seshadri
Ravi Seshadri

H-Index: 12

Estimating and implementing a Danish activity-based model in SimMobility: Udvidet resumé

Proceedings from the Annual Transport Conference at Aalborg University

2022/9/26

Mayara Moraes Monteiro
Mayara Moraes Monteiro

H-Index: 2

Ravi Seshadri
Ravi Seshadri

H-Index: 12

Exploring the operational characteristics of ride-sourcing in an urban area

Research in Transportation Business & Management

2022/6/1

An agent-based simulation assessment of freight parking demand management strategies for large urban freight generators

Research in Transportation Business & Management

2022/6/1

Impact of automated mobility-on-demand on weekly activity patterns: a study of Singapore

Transportation research record

2022/6

Karina Hermawan
Karina Hermawan

H-Index: 2

Ravi Seshadri
Ravi Seshadri

H-Index: 12

Household-based E-commerce demand modeling for an agent-based urban transportation simulation platform

Transportation Planning and Technology

2022/2/17

THEMA Working Paper n 2021-12 CY Cergy Paris Université, France

2021/6

Ravi Seshadri
Ravi Seshadri

H-Index: 12

A simulation-based evaluation of a Cargo-Hitching service for E-commerce using mobility-on-demand vehicles

Future Transportation

2021/11/3

See List of Professors in Ravi Seshadri University(Danmarks Tekniske Universitet)

Co-Authors

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